International Journal of Scientific & Engineering Research, Volume 5, Issue 2, February-2014 1409
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A Roadmap on the Low Power Static Random
Access Memory Design Topologies
Jyoti Yadav, Toshiyanka Goswami, P.Bhatnagar, S. Birla and Neeraj Kr. Shukla
Abstract— The increasing demand for more and novel applications in electronics systems have persuaded the semiconductor technology towards scaling of devices to accommodate a large number of circuit component in a single Integrated Circuit. Thus high density and faster chips have become semiconductor industry’s requirement. But faster circuits need more power to work properly and hence reduces the battery lifetime. This paper provides a systematic overview of Static Random Access Memory based on semiconductor technology (45,65,130 and180 nm), Bit-Cell type (1T,2T,3T upto 14T), various circuit design techniques (power gating, dual Vth, body biasing, MTCMOS, Sub threshold, etc.) for ultra low power applications, eg. Bio-medical, W ireless sensors, Multimedia applications. Recent trends of shrinking the semiconductor devices into nanometer regime lowers the operating power requirements. This lower operating voltage(Vdd) starts offering other challenges such as speed, stability. It is seen that if speed is increased then power also increases. If access time is decreased , the noise margins also increases. If Vmin is reduced then reliability improves.
Index Terms— Bio-Medical, multimedia, 3-D graphics, wireless sensors
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SRAM has advantage over DRAM because of its high speed, faster access time, low power dissipation and it doesn’t require being refreshed again and again. SRAM is mostly used for cache memory, the memory used on processors and hard drives to store frequently used data and instructions. SRAM is used in a lot of devices where speed is more crucial than capacity.Because of its application in high speed communications and 3-D Graphics systems there is large demand for high speed embedded memories [12]. Battery lifetime specifications drives a great impact on the power consumption requirements of integrated cir- cuits in bio- implantable, wearable, and portable medical devices [32]. Stand by power is a major problem in low power applica- tions. The amount of circuitry on a chip as well as circuitry speed have continued to increase exponentially since the invention of integrated chips. The scaling of CMOS technology has brought several challenges for SRAM designers to meet market de- mands [37]. To reduce standby leakage following techniques can be used: i To increase threshold voltage NMOS and PMOS are reverse body biased ii To reduce the effective Vdd across the SRAM cell , bias the source (Vs) of the SRAM cell NMOS latch above ground iii In standby mode to turn off the circuits use sleep transistors [42].Various low power methodologies are used e.g. Self reverse bias technique, Multiple Vth technique, Multi threshold-Voltage CMOS (MTCMOS), Multiple body bias, Dual threshold CMOS, Dynamic Vth technique etc. Subthreshold logics are also becoming renouned for ultra-low power applications like portable electronics, medical instruments, and sensor networks where minimum power consumption is the main require- ment [45].Various multi voltages schemes are proposed with increased process corners complexity. Depending on the targeted application constraint tradeoffs like power, area, performance and stability are prioritized. The highly power constrained sys- tems require more power for its active mode operations [55]. To achieve high speed, low voltage and smaller area semiconduc- tor circuits and systems are implemented into nano metre regime [67].
This section presents various SRAM Bit-Cell topologies reported so far by various researchers in the domain of semiconductor SRAM design. Here, the bit-cell topologies have been organized in respect with the number of transistors in the SRAM cell and technology. A lot of good work is available in the literature these days. This was a big challenge before us to what to include and what to not. Though we have tried, but the inclusion of all the research paper is not possible in one survey, we have focused on low-power SRAM bit-cell topologies and technologies. Various low power methodologies are used e.g. Self reverse bias tech- nique, Multiple Vth technique, Multi threshold-Voltage CMOS (MTCMOS), Multiple body bias, Dual threshold CMOS, Dynam- ic Vth technique etc.
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Author & Title | Technology (nm) | Power (µW) | Area (mm2) | Freq (MHz) | Vdd (V) | Methodology | Trade offs | Achievements | Comments |
Moselund K.E., Bouvet D., Pott V., Meinen C., Kayal M., and Ionescu A.M., “Punch- through impact ionization MOSFET (PI- MOS): From de- vice principle to applications,”[1] | TCAD | - | - | - | - | punch- through im- pact ioniza- tion MOSFET | High Current Consumption | High temperature stability, less switching activity | Hysteresis width can be optimized by the value of Vds. |
Leung Wingyu, Hsu Fu-Chieh, and Jones Mark- Eric, “The Ideal SoC Memory: lT- SRAM,”[2] | CMOS 180 | - | - | 300 | - | multi-bank architecture and multi- layer metal interconnect | high- frequency operation, short latency, transparent refresh and soft-error rate | Easy to port, remove process incompatibility, extremely scal- able, cost effective | 1T-SRAM enables the economic embedding of very large quantities of memory in SoC designs. |
Jin Niu, Chung Sung-Yong, Yu Ronghua, Heyns Roux M , Berge Paul R., and Thompson Phillip E., “The Effect of Spacer Thickness- es on Si-Based Resonant Inter- band Tunneling Diode Perfor- mance and Their Application to Low-Power Tun- neling Diode SRAM Cir- cuits,”[3] | N channel depletion mode FET | - | - | - | 0.5 | Si based res- onant inter- band tunnel- ing diodes (RITD) | Temperature change may effect | Low stand by power con- sumption, in- crease circuit speed, reduce com- ponent count, | Suitable for low power memory ap- plications, Spacer thick- ness reduced to 16nm, Current den- sity reduced to 0.5A/cm2, peak-to- valley current ratio (PVCR) reduced to 2.2 |
Glaskowsky Peter N., “MoSys Ex- plains 1T-SRAM Technology Unique Architec- ture Hides Refresh Makes DRAM Work Like SRAM,”[4] | CMOS | - | - | - | - | Hide refresh technique- DRAM work like SRAM | Area may increase | High speed , high density, | No refreshing is required, No wait state, |
Jones Mark-Eric, “1T-SRAM-Q™: Quad-Density Technology Reins in Spiraling Memory Re- quirements,”[5] | 45 CMOS | - | - | - | - | Quad Densi- ty Technolo- gy | Complex designing | Highly scala- ble, Reliable, Small size, Cost effective, Enhanced soft error rate, Improved yield | 4times higher density than traditional 6T SRAM, Enhanced reliability using Trans- parent error |
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correction |
Author & Title | Technology (nm) | Power (µW) | Area (mm2) | Freq (MHz) | Vdd (V) | Methodology | Trade offs | Achievements | Comments |
Somasekhar Dinesh, Ye Yibin, Aseron Paolo, Lu Shih-Lien, Khel- lah Muhammad, Howard Jason, Ruhl Greg, Kar- nik Tanay, Borkar Shekhar Y., De Vivek, and Keshavarzi Ali, “2GHz 2Mb 2T Gain-Cell Memory Macro with 128GB/s Bandwidth in a 65nm Logic Pro- cess,”[6] | 65 | - | 0.00028000 | 2000 | 1.1 | Pipelined macro cells | area may increase | Fast cycle time, Faster read operation | retention time =10µs, Array Den- sity 92Mbit/cm2 |
Meinerzhagen Pascal, Teman Adam, Mor- dakhay Anatoli, Burg Andreas, and Fish Alexan- der, “A Sub-VT 2T Gain-Cell Memory for Bi- omedical Appli- cations,”[7] | 180 | - | - | - | 0.4(sub- Vt) | SUB-VT GAIN-CELL | Capacitive coupling may occur | Good energy efficiency, low power consumption, highly robust | data reten- tion time is higher than data access time |
Author& Title | Technology (nm) | Power (µW) | Area (mm2) | Freq (MH z) | Vdd (V) | Methodology | Trade offs | Achievements | Comments |
Ramesh Ani- sha, Park Si- Young, and Berge Paul R., “90 nm 32x32 bit Tunneling SRAM Memory Ar- ray With 0.5 ns Write Ac- cess Time, 1 ns Read Ac- cess Time and | 90 CMOS | - | 0.0000183 | - | 0.5 | DualVth, TSRAM(tunneling based static random access memory) | Noise margins may in- crease | High speed tunneling, low static and dynamic power dissipation, high robustness | Read ac- cess time- 1ns, Write ac- cess time=0.5ns , Array size=32x32 Standby power dissipation of 6x(10)-5 |
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0.5 V Opera- tion,”[8] | mW per cell dynamic power dissipation of 1.8x (10)-7 mW per cell | ||||||||
Wagt van der J. P. A., Sea- baugh A.C., and Beam E.A., “RTD/HFET Low Standby Power SRAM Gain Cell,”[9] | HFET/RTD | - | - | - | 0.4 | Tunneling SRAM us- ing RTD(resonant tun- neling diodes), HFET(hetero structure field transistors) | Area over- heads may in- crease | Reduced standby power consumption, more compact, low current density | Reduced standby power reduc- tion=50nW , high speed, access time=0.5ns |
Author & Title | Technology (nm) | Pow- er (µW) | Area (mm2) | Freq (MHz) | Vdd (V) | Methodology | Trade offs | Achievements | Com- ments |
Nod Kenji, Matsui Kou- jirou , Takeda Koichi, and Nakamura Nor- itsugu, “A Loadless CMOS Four-Transistor SRAM Cell in a 0.18-um Logic Technology,”[10] | 180 CMOS | - | 0.0019344 | - | 1.8 | Concept of Loadless CMOS | Tradeoff between cell size and SNM | Cell is com- pact. High stability, high speed and high den- sity | Cell area is 35% small- er. |
Arsovski Igor, Chan- dler Trevis and Sheikholeslami Ali, “A Ternary Content- Addressable Memory (TCAM) Based on 4T Static Storage and In- cluding a Current-Race Sensing Scheme,”[11] | 180 CMOS | - | 0.01754 | - | 1.2 | Match-line (ML) sense scheme | Bitline can’t be high for a long pe- riod of time | Increase in density | Power con- sump- tion is less. |
Noda K., Matsui K., Ito S., Masuoka S., Ka- wamoto H., Ikezawa N., Takeda K., Aimoto Y., Nakamura N., Toyo- shima H., Iwasaki T., and Horiuchi T., “An Ultra-High-Density High-speed Loadless Four-Transistor SRAM Macro with a Dual- Layered Wisted Bit- Line and a Triple-Well Shield,”[12] | 180 CMOS | - | 0.0019344 | 400 | 1.8 | Dual-layered twisted bit- line,triple well shield- ing | Memory capacity is less than embedded DRAM macros | Access speed and reliability is increased | Access time = 2.35 ns. Bit-line signal delay is re- duced by 20- 25%. SNM > 400 mV |
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Takeda K., Aimoto Y., Nakamura N., Toyo- shima H., Iwasaki T., Noda K., , Matsui K., Itoh S., Masuoka S., Horiuchi T., Nakagawa A., Shimogawa K., and Takahashi H., “A 16-Mb 400-MHz Loadless CMOS Four-Transistor SRAM Macro,”[13] | 180 CMOS | - | 54.08 | 400 | 1.8 | Uses end- point dual- pulse drivers, wordline- voltage-level compensa- tion circuit and all- adjoining twisted bit- line scheme | Smaller storage- node ca- pacitance and lower load- element current | Accurate tim- ing control, stable data retention, bit-line cou- pling capaci- tance re- duced, high speed access and smaller size | Size is 66% of Coven- tional 6T SRAM. Access time = 2.5 ns |
Yang Jinshen, and Chen Li,“A New Loadless 4- Transistor SRAM Cell with a 0.18 µm CMOS Technology,”[14] | 180 CMOS | - | - | - | 1.8 | Bitlines are precharged to ground in- stead of VDD | Tradeoff between the cellsize and cell stability. Node which is storing logic high can’t retain its full swing val- ue because it is float- ing. | Consumes less power and less area | SNM = 446 mV, Cell layout size is 15% small- er. Highly stable when cell ratio=3. Used in high speed and high density SRAMs . |
Giraud B., Amara A., and Vladimirescu A., “A Comparative Study of 6T and 4T SRAM Cells in Double-Gate CMOS with Statistical Variation,”[15] | 32 CMOS | - | - | - | 1.2 | Driverless (DL) SRAM cell | An extra back gate is required | Operating characteristics are improved, stability im- proved in read and re- tention mode, less access time | SNM > 350 mV Access time de- creased by 50% Area de- creased by 30% |
Batude P., Jaud M-A., Thomas O., Clavelier L., Pouydebasque A., Vinet M., Deleonibus S., and Amara A, “3D CMOS Integra- tion:Introduction of Dynamic coupling and Application to Compact and Robust 4T SRAM,”[16] | TCAD | - | - | - | 1.1 | 3D Integra- tion Technol- ogy | Higher TB is required | Stability and surface densi- ty increases, balance be- tween SNM and RNM improved | Leak- age current =10 pA/µm RNM = 320 mV SNM = 150 mV Density Gain =16.4% |
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Mazreah Azizi A., Sa- hebi Reza M., Manzuri Taghi M., Hosseini Ja- vad S., “A Novel Zero- Aware Four-Transistor SRAM Cell for High Density and Low Power Cache Application,”[17] | 65 HSPICE | - | - | - | 1.2 | Uses two word-lines and one pair bit-line | Average leakage current is 15% great- er | High density and low pow- er, retains its data with leakage cur- rent and posi- tive feedback without re- fresh cycle | Aver- age delay access is 30% small- er. Aver- age dy- namic energy con- sump- tion is 45% small- er. SNM = 0.35 V |
R Sandeep, Deshpande Narayan T, and Aswatha A R, “Design and Analysis of a New Loadless 4T SRAM Cell in Deep Submicron CMOS Technolo- gies,”[18] | 130 CMOS, 90 CMOS, 65 CMOS | - | - | 333.33 | 1.5 (130 CMOS), 1.2 (90 CMOS) and 1.1 (65 CMOS) | Bit-lines are precharged to ground | Read Ac- cess time is greater | Less power and less area, high stability | Capaci- tance of each bitline = 20 fF Load = 20 fF |
Fan Ming-Long, Wu Yu-Sheng , Hu Vita Pi- Ho, Hsieh Chien-Yu, Su Pin, and Chuang Ching-Te, “ Compari- son of 4T and 6T Fin- FET SRAM Cells for Subthreshold Operation Considering Variabil- ity—A Model-Based Approach,”[19] | 32 FinFET | - | - | - | 0.4 | Model-based approach to consider im- pact of device variation on stability | - | Better nomi- nal READ static noise margin (RSNM) | Area re- duced by 25%. |
Degalahal V., Vi- jaykrishnan N., and Irwin M. J., “Analyzing Soft Errors in Leakage Optimized SRAM De- sign,”[20] | 70 HSPICE | - | - | - | No VDD | 4T SRAM without VDD | Between optimizing leakage power and improving immunity to soft er- ror | Leakage and area reduc- tion | Leak- age re- duced by 60- 80% Advan- van- tage in area by 12-33% |
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Author & Title | Technology (nm) | Power (µW) | Ar- ea (mm2) | Freq (MHz) | Vdd (V) | Methodology | Trade offs | Achievements | Comments |
Tran Hiep, “Demonstration of 5T SRAM And 6T Dual-Port RAM Cell Ar- rays,”[21] | 600 CMOS | - | - | - | 2 | Single bitline SRAM cell | - | Can operate at dual-port memory over a wide voltage supply range,improved cell size | Can be used in high density SRAM. Can be imple- ment in ASIC design. |
Wieckowski M., and Margala M., “A Novel Five- Transistor (5T) Sram Cell For High Perfor- mance Cache,” [22] | 180 TSMC CMOS | - | 0.00 67 | - | 1.8 | Based on 7T current- mode cell | - | High-speed, Low-power. Optimization in transistor sizes. | 57%enhancement in speed, 12% power reduction and 6% area re- duction. |
Mohan Nitin and Sachdev Manoj, “Novel Ternary Storage Cells And Techniques For Leakage Reduc- tion In Ternary Cam,”[23] | 180 CMOS | - | - | - | 1.8 | Ternary Con- tent Ad- dressable Memories (TCAM) | Unused state can’t be stored in cell | Leakage reduc- tion, high speed, smaller area | Leakage de- creased by 32- 40%. |
Cosemans S., Dehaene W., and Catthoor F., “A Low-Power Em- bedded SRAM for Wireless Ap- plications,”[24] | 180 CMOS | - | 0.69 | 250 | 1.6 | Short buff- ered bitlines & memory databus, Read opera- tion using dynamic stability, Low-Swing Write Using Shared Low- Swing Re- ceivers, and Distributed Decoder | Large part of die used for on-chip signal monitoring circuits | Energy per access is re- duced, area reduced | Active power consumption reduced by fac- tor of 2. Energy per ac- cess reduced to 54% Energy = 9.5 pJ Delay = 0.74 ns |
Wieckowski M., and Margala M., “A Portless SRAM Cell Using Stunt- ed Wordline Drivers,”[25] | 180 CMOS | - | 0.00 877 | - | 1.8 | Portless con- cept in an isolated test cell | Some per- centage of current ratios in process results in slower operation & reduce efficiency | Higher SNM, less leakage, cell area re- duced | Static noise mar- gin increased by 22%. Leakage de- creased by 14% |
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Mazreaht Arash Azizi, Shalmani Mohammad Taghi Manzuri, Noormande Reza, and Mehrparvar Ali, “A Novel Zero-Aware Read-Static- Noise-Margin- Free SRAM Cell for High Density and High Speed Cache Applica- tion,”[26] | 250 CMOS | - | 0.01961 | - | 2.5 | Loop-cutting strategy, use one word- line and one bit-line dur- ing read/write operation | - | Data is retained with leakage current and positive feed- back without refresh cycle | Cell size de- creased by 18%. Average delay is reduced by 20%. Average leakage current is 8% greater. |
Nalam S., and Calhoun Benton H., “Asymmetric Sizing in a 45nm 5T SRAM to Im- prove Read Stability over 6T,”[27] | 45 CMOS | - | - | - | 0.5 | Novel asymmetric sizing ap- proach to increase read ability | Area and Write Noise Margin | Robust read operation | Read stability and improved writability through write assist techniques. |
Author & Title | Technol- ogy (nm) | Power (µW) | Area (mm2) | Freq (MHz ) | Vdd (V) | Method- ology | Trade offs | Achievements | Comments |
Narasimhan S. ,Chiel H.J., and bhunia S., “Ultra- low-power and Robust Digital- Signal-Processing Hardware for Im- plantable Neural Interface Microsys- tems,”[28] | 70 HSPICE | 10 | 0.21 | 33.33 | 0.6 | Preferen- tial De- sign,NSPa lgo,power gat- ing,voltag e scaling | Delay over- heads may in- crease | Improved total energy, highrobust- ness, high yield | Yield-79.94% Energy = 106.56 pJ Delay = 4.39 ns |
Narasimhan S., and Bhunia Swarup, “Ultralow-Power and Robust Embed- ded Memory for Bioimplantable Microsystems,”[29] | 45 HSPICE | - | 0.000256 00 | 0.0002 5600 | 0.8 | Power gating technique | Noise mar- gins may in- crease | Low energy dissipa- tion,betterarea, high robust- ness | Array size-(64x80) Noise margin-Read=209 Write=420 Hold=383 It is 611x faster and 1.4x denser than subThresh- old design. Energy = 33.72 pJ Delay = 0.37 ns |
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Elakkumanan Praveen,Thondapu Charan, and Sri- dhar Ramalingam, “A Gate Leakage Reduction Strategy For Sub-70nm Memory Cir- cuits,”[30] | 65 BPTM | _ | _ | _ | 0.8 | N- controlled SRAM using dual Vth (Dy- namic voltage scaling) | 1-3% less perfor for- manc e. | Better leakage savings | 60% reduction in gate leakage |
Hua Chung-Hsien, Cheng Tung-Shuan, and Hwang Wei, “Distributed Data- Retention Power Gating Techniques for Column and Row Co-Controlled Embedded SRAM,”[31] | 130 CMOS | - | - | - | 1 | Column and row co- controlled power gated SRAM | Extra AND gate delay | High robust- ness | SNM-340 mV, active power reductions (PDP) 32-bit-49%, 16-bit-75% 8-bit -93%,area overhead- 8.1% |
Sridhara Srinivasa R., DiRenzo Mi- chael, Lingam Srinivas, Lee Seok- Jun, Blázquez Raúl, Mxey Jay, Ghanem Samer, Lee Yu- Hung, Abdallah Rami, Singh Prashant, and Goel Manish, “Micro- watt Embedded Processor Platform for Medical Sys- tem-on-Chip Ap- plications,”[32] | 130 CMOS | 5nW/kH z(0.5) 19N w/kHz( 0.1) | 1.95 um sq bit cell or 1.3mm sq | <1mh z | 0.5- 1 | Differen- tial SRAM,FF T accelera- tor | Leak- age pow- er,dy nam- icpow er,me mory band width ,run time | Less leakage, more reliable | 90% effective dc-dc con- verter, performance 7KHz(0.5v), 5MH(1v), Leakage power 7nW(0.3v), density of SRAM-32kb Energy = 100 nJ |
Kulkarni Jaydeep P., and Roy Kaushik, “Ul- tralow-Voltage Process-Variation- Tolerant Schmitt- Trigger-Based SRAM Design,”[33] | 130 CMOS | - | 1.063 | 270 kHz | 300 mV | Schmitt- Trigger (ST)- SRAM with Feedback mecha- nism | Bit cell area in- creas- es 2x. | better read- stability as well as better write-ability, | 1.6 x higher read static noise margin, 2x higher write-trip- point, Leakage current-0.372Ua |
Rooseleer Bram, Cosemans Stefan, and Dehaene Wim, “A 65 nm, 850 MHz, 256 kbit, 4.3 pJ/access, ultra low leakage power memory using dy- namic cell stability and a dual swing data link,”[34] | 65 CMOS | 25.2 | 0.48 | 850 | 1.0 | Dual swing data link on the GBLs, High threshold voltage cells, Dynamic decoder with merged address latches | Noise mar- gins may in- crease | ultra low leak- age power and very low active en- ergy consump- tion, improved sta- bility, high speed, improved ro- bustness | Memory size -256 kbit, Wordlength -32 bit, Cell type- L = 60 nm, W = 120 nm Energy = 4.3 pJ/access |
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Bansal Aditya, Mukhopadhyay Saibal, and Roy Kaushik, “Device- Optimization Tech- nique for Robust and Low-Power FinFET SRAM Design in NanoScale Era,”[35] | 50 FinFET | - | - | - | 1.0 | FinFET | Ac- cess time and perfor for- manc e,stab ility | Minimized leakage cur- rent and drain capacitance to on-current ratio, high robust- ness, | 65%SRAM leakage is reduced, improves cell read failure by 200times,Tox-1.2nm |
Amelifard Behnam, Fallah Farzan, and Pedram Massoud, “Leakage Minimi- zation of SRAM Cells in a Dual-Vt and Dual-Tox Technology,”[36] | 65 HSPICE | - | - | - | 1.1 | Dual Vt, Dual Tox | Area over- heads ,delay | Reduced leak- age power dissipation, improved per- formance | Power dissipation of SRAM array size-64x512 is reduced to 33%. Power dissipation of SRAM array size-32x512 is reduced to 40%. Vth-0.18v |
Sharifkhani Mo- hammad and Sachdev Manoj, “An Energy Effi- cient 40 Kb SRAM Module With Ex- tended Read/Write Noise Margin in 0.13 um CMOS,”[37] | 130 CMOS | - | - | 100 | 0.4 per cell | Virtual ground architec- ture | Ac- cess time may in- crease | Low leakage current,energy efficient ,improved stability | 28% noise margin en- hancement, size-40kb, leakage current- 27Pa/Cell, area overhead 8%, dynamic data stability management. Energy = 7 pJ |
Lakshminarayanan S., Joung J., Nara- simhan G., Kapre R., Slanina M., Tung J., Whately M., Hou C-L., Liao W-J., Lin S-C., Ma P-G., Fan C-W., Hsieh M-C., Liu F- C., Yeh K-L., Tseng W-C., and Lu S.W., “Standby PowerReduction and SRAM Cell Optimization for 65nm Technology,”[38] | 65 CMOS | - | - | - | 1.0 | Body bias- ing tech- nique | Sta- bility issues may arise | Reduced leak- age current, improved per- formance | Fast process corners, improved yield |
Author & Title | Technology (nm) | Power (µW) | Area (mm2) | Freq (MHz) | Vdd (V) | Methodology | Trade offs | Achievements | Comments |
Jiao Hailong, and Kursun Volkan, “Low Power and Robust Ground Gated Memory Banks with Com- bined Write Assist Techniques,”[39] | 65 CMOS | - | - | 1000 | 1.2 | Multi Threshold CMOS tech- nology | Careful transistor sizing,cell layout op- timization | Stronger data stability and lower leakage pow- er consump- tion | write margin enhanced to 2.75x, write delay reduced to 71.70%, data stability increases by |
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2.11x, leakage power consumption reduces by 65.38%. cell layout area is increased upto 26.97%, electrical quali- ty is enhanced by 9.36x | |||||||||
Liu Zhiyu and Kursun Volkan, “Characterization of a Novel Nine- Transistor SRAM Cell,”[40] | 65 CMOS | - | - | - | - | Dual Vth technique | Area over- heads, delay may increase | Improved performance, reduced leak- age power | Read SNM is improved by 2 times as com- pared to 6T SRAM, Leakage power is reduced by 57% |
Birla Shilpi, Shukla Neeraj Kr., Pattanaik Mani- sha, Singh R.K., “Device and Cir- cuit Design Chal- lenges for Low Leakage SRAM for Ultra Low Power Applica- tions,”[41] | 90 CMOS | - | - | - | 0.5 | A data pro- tection NMOS tran- sistor is add- ed. | 1)write- write mar- gin decreases with de- creasing Vdd. 2)Read - storage data destruction | Vdd min- 440mV, Access time- 20ns, Better cell performance, Improved write margin | It may achieve high speeds,Leakage power is re- duced by 21% |
Yadav Monika, and Akashe Shyam, “New Technique For Reducing Sub- Threshold Leak- age In SRAM,”[42] | 180 CMOS | - | - | - | 1.8 | Sense Amplifiers | Layout op- timization | Lower leak- age current and power consumption | Area overhead increases by 16%, 47.5% better power saving |
Takeda Koichi, Hagihara Yasuhi- ko, Aimoto Yo- shiharu, Nomura Masahiro, Naka- zawa Yoetsu, Ishii Toshio, and Koba- take Hiroyuki, “A Read-Static- Noise-Margin- Free SRAM Cell for Low-VDD and High-Speed Ap- plications,”[43] | 90 CMOS | - | - | - | 0.5 | Read-static- noise- margin-free SRAM cell | Leakage current in- creases with temperature | Low Vdd and high speed operation. Smaller area, SNM is im- proved | Area is 23% smaller Access time is 20ns |
P Rajeev Anand., and P Chandra Sekhar., “Reduce Leakage Currents in Low Power | 90 CMOS | 9.738 | 0.000041600 | - | 1.0 | Dual-VTH and trans- mission gate technique | Read Access time in- creases | Leakage cur- rent decreas- es, reduced static power dissi- | Leakage cur- rent=133nA, gate current leakage reduc- es by 58%, |
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SRAM cell Struc- tures,”[44] | pation | static noise margin reduces by 10% |
Author & Title | Tech- nology (nm) | Pow er (µW ) | Area (mm2) | Fre q (M Hz) | Vdd (V) | Methodology | Trade offs | Achievements | Comments | ||
Kim Tea-Hyoung, Liu J., and Kim C.H., “An 8T sub- threshold SRAM Cell Utilizing Re- verse Short Chan- nel Effect for Write Margin and Read Performance Im- provement,”[45] | 130C MOS | - | 0.000006 3648 | - | 1.2 | Reverse short channel effect | Leakage cur- rent increas- es, gate capaci- tance increas- es | Improved read and write margin, reduced threshold volt- age | 52% speedup , area overhead 20%, Ion/Ioff improved from 169 to 271, 3x longer channel length, no extra circuitary required | ||
Verma N., and Chandrakasan A.P., “A 256 kb 65 nm 8T Subthresh- old SRAM Em- ploying Sense- Amplifier Redun- dancy,”[46] | 65 CMOS | 2.2 | - | 0.02 5 | 0.35 | Sense amplifier redundancy | Increased device sizing and its statis- tical offset | High density, minimum operating voltage,more read write stability, low leakage power dissipa- tion | Leakage power saving 10x, array size (256x128),30% area overhead | ||
Wang Bo, Zhou Jun, and Kim Tony T., “Maximization of SRAM Energy Efficiency Utilizing MTCMOS Tech- nology,”[47] | 65 CMOS | - | - | - | 0.4 | Multi Threshold CMOS technol- ogy | Read,write delays may increase. | High energy efficiency, better perfor- mance | Array structure- 256 rows x 128 columns, 33% incease in energy efficiency. | ||
Kwong Joyce, Ramadass Yogesh K., Verma Naveen, and Chandrakasan Anantha P., “A 65 nm Sub-Vt Micro- controller With Integrated SRAM and Switched Ca- pacitor DC-DC Converter,”[48] | 65 CMOS | - | - | - | 0.5 | Timing pro- cess,subVt mi- crocontroller with sub threshold memory | Area may increase | Leakage power and energy is reduced, improved sta- bility | Array size-128kb, 1uW standby power at 300 mV, dc-dc converter achieves 75% effi- ciency Energy = 27.2 pJ |
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Liu Zhiyu and Kursun Volkan, “Characterization of a Novel Nine- Transistor SRAM Cell,”[40] | 65 CMOS | - | - | - | - | Alternative communication channel (composed of a separate read bitline and the transistor stack) used for reading the data from the cell | Area over- head,delay may increase | Improved data stability | It may achieve high speeds. Leakage power is reduced by 23%. |
Jain Sanjeev K., and Agarwal P., “A Low Leakage and SNM Free SRAM Cell Design in Deep Sub micron CMOS Technolo- gy[49] | 90 CMOS | - | - | - | 1.1 | 1 transistor re- duces gate leak- age and other makes cell SNM free. | Degradation in read access time when read = ‘0’ | Reduction in gate leakage power. Cell area increases. | Total leakage re- duced by 50.2%. SNM free when read = logic 0. SNM improved by 2.2 times. Increase in cell area is 30%. |
Author & Title | Tech nology (nm) | Pow er (µW ) | Area (mm2) | Freq (MH z) | Vdd (V) | Methodology | Trade offs | Achievements | Comments |
Ramani Ram- nath Arun, and Choi Ken, “A Novel 9T SRAM Design in Sub- Threshold Region,”[50] | 45 HSPICE | - | - | - | 0.3 | Sub threshold technique | Degradation in perfor- mance | Leakage power reduction, improved read ,write margin | Saving of PDP (write)- 2.80% <7T SRAM, 4.48 % < 8T SRAM , 5.64% <9T SRAM 8.5 % <11T SRAM. (read)- 44.8 % <7T SRAM 66.18 % <9T SRAM |
Razavipour G., Kusha Afzali A., and Pedram M., “Design and Analysis of Two Low Power SRAM Cell Struc- tures,”[51] | 45 HSPICE | - | - | - | 0.8 | Dual Vth tech- nique | Access time increases | Reduced static power dissipation and high perfor- mance | 1st cell-Gate leakage current decreases by 66%, Ideal power de- creases by 58%, 2nd cell--Gate leak- age current de- creases by 27%, Ideal power de- creases by 37%, Channel length- pmos=0.4um,NMO S=0.2um |
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Mali Madan, Dr. Sutaone M.S., Bhalerao Mangesh, and Tak Shital, “Deep Submi- cron Imple- mentation of Gating Tran- sistor Power Saving Tech- nique for Power Opti- mized Code Book SRAM,”[52] | 250 SPICE | - | - | - | 0.6 | Attachement of extra row and column to SRAM | Area in- creases with decrease in power | Improved reliabil- ity, Access time, power dissipation is reduced , | Access time reduc- es by 2ns, array size-256*8 , density -32kb, bit line length-1mm max, no metal layers-3, Power Dissipation reduced to 13% |
Masuda Cho- taro, Hirose Tetsuya, Matsumoto Kei, Osaki Yuji, Kuroki Nobutaka, and Numa Masahiro, “High Cur- rent Efficiency Sense Ampli- fier Using Body-Bias Control for Ultra-Low- Voltage SRAM,”[53] | 350 SPICE | - | - | 0.003 33 | 0.5 | current latch sense amplifier with a current- reuse technique | Power dissi- pation may increase | High speed pre charging, improved perfor- mance, small overhead | pre-charge time decreased by 86.9% , power dissipation increased by 8.6%, |
Clark Law- rence T., Mor- row Michael and Brown William, “Re- verse-Body Bias and Sup- ply Collapse for Low Effec- tive Standby Power,”[54] | 130 CMOS | 165 | 125000 000000 0 | 0.032 | 1 | Reverse body bias (RBB), voltage collapse technique | Area may increase | Low power dissi- pation, high efficiency, cost remains same | Easy to design RBB, density-34kb,83% stand by power reduction |
Liu Zhiyu and Kursun Volkan, “Characteri- zation of a Novel Nine- Transistor SRAM Cell,”[40] | 65 CMOS | - | - | 2000 | 1 | Two separate data access mechanisms for the read and write opera- tions. | Area may increase. | Improved data stability and leak- age power reduc- tion. | It may be used for high speed circuits. leakage power is reduced by 51%. |
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Singh R., Pat- tanaik M., and Shukla N., “Characteri- zation of a Novel Low- Power SRAM Bit-Cell Struc- ture at Deep Sub-Micron CMOS Tech- nology for Multimedia Applica- tions,”[55] | 45 CMOS | - | - | - | 0.8 | IP3 SRAM bit- cell | Area and performance | Reduced power dissipation, Improved stability | tOX = 2.4 nm, Vthn = 0.224 V, Vthp = 0.24V at T = 27°C.during write- IP3 cell demands 17.65% and 41.53% less power as com- pared to 6T and PP cells. |
Author & Title | Tech- nology (nm) | Pow er (µW ) | Area (mm2) | Fre q (M Hz) | Vdd (V) | Methodology | Trade offs | Achievements | Comments |
Saripalli Vinay, Datta Suman, Narayanan Vi- jaykrishnan, and Kulkarni Jaydeep P., “Variation- Tolerant Ultra Low-Power Heterojunction Tunnel FET SRAM De- sign,”[56] | 45 TCAD | - | - | - | <3 00mV | TFET (tunnel FET) Schmitt- Trigger (ST)- SRAM with Feedback mechanism | Stability issues | Improved read/write noise margins, lowenergy, improved perfor- mance, can operate at low Vcc. | Improved varia- tion tolerance, 1.2x reduction in dynamic energy, 13x reduction in leakage power |
Calhounand Benton High- smith and Chandrakasan Anantha P., “A 256-kb 65-nm Sub-threshold SRAM Design for Ultra-Low- Voltage Opera- tion,”[57] | 65 CMOS | 3.28 | - | 0.47 5 | 0.3 | Separate read and write word line | Speed may decrease | Improved cell sta- bility, better noise mar- gins, power and energy saving | It saves 2.5x and 3.8x in leakage power by scaling from 0.6v to 0.4v |
Ebrahimi Amir, Kargaran Ehsan and Golmakani Abbas,“Design and Analysis of Three New SRAM Cells,”[58] | 130 HSPICE | 9.37 | - | - | 0.32 | Separate read and write word line | Area overheads | Better SNM, reduced leakage current | 512 cells per bit line and 128 col- umn cell array is achieves better read and write |
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Lo Cheng-Hung and Huang Shi- Yu,“P-P-N Based 10T SRAM Cell for Low-Leakage and Resilient Subthreshold Operation,”[59] | 90 CMOS | - | - | 0.9 | 0.32 | Cross coupled P-P-N inverter pair | Area overheads | Low cell leakage, high noise immuni- ty, ability to operate at low voltage, high density | High immunity to data depend- ent bit line leak- age |
Moradi Farshad , Wisland Dag T., Mahmoodi Hamid, Berg Yngvar, and Cao. Tuan Vu, “New SRAM Design Using Body Bias Tech- nique for Ultra Low Power Ap- plications,”[60] | 65 | - | - | - | 0.3 | Body biasing technique | Area overheads may in- crease | Low power dissi- pation, ultra supply volt- age scaling, SNM improvemnt | Static noise mar- gin is improved by 15%, Improvement in SNM of READ cycle-22% |
Author & Title | Tech- nology (nm) | Power (µW) | Area (mm2) | Freq (MHz) | Vdd (V) | Methodology | Trade offs | Achievements | Comments |
Moradi Farshad, Wisland Dag.T., Aunet Snorre, Mahmoodi Hamid and Cao Tuan Vu, “65nm Sub- Threshold 11T- SRAM for Ultra Low Voltage Ap- plications,”[61] | 65 CMOS | - | - | - | 0.2 | Boost capaci- tor (CB) is used | Area may increase | Higher SNM and higher speed | Area overhead between 22 -28%, 4x improvement in read speed |
Ebrahimi Amir, Kargaran Ehsan and Golmakani Abbas,“Design and Analysis of Three New SRAM Cells,”[58] | 130 CMOS | 6.29 | - | - | 0.27 | Separate read and write word line | Area overheads | Better SNM, reduced leak- age current | 512 cells per bit line and 128 col- umn cell array is achieves better read and write |
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Singh Ajay Kumar, Prabhu C.M.R., Pin Soo Wei and Hou Ting Chik, “A Pro- posed Symmetric and Balanced 11-T SRAM Cell for lower power con- sumption,”[62] | 250 CMOS | - | - | - | 2.5 | Two tail transistors are used | Write access delay increased | Low circuit activity fac- tor, Low active power densi- ty, reduced power con- sumption | Consumes 40% less average pow- er, 7% slower during write operation |
Lin Sheng, Kim Yong-Bin, and Lombardi Fabrizio, “A 11-Transistor Nanoscale CMOS Memory Cell for Hardening to Soft Errors,”[63] | 32 CMOS | - | 0.3764 | - | 0.9 | Hardening approach | Speed and sta- bility is- sues | Power delay product re- duction. soft error tolerance im- proved | Superior re- sistance to soft errors, high performance |
Chiu Yi-Wei, Hu Yu-Hao, Tu Ming- Hsien, Zhao Jun- Kai, Jou Shyh-Jye and Chuang Ching-Te, “A 40 nm 0.32 V 3.5 MHz 11T Single-Ended Bit-Interleaving Subthreshold SRAM with Data- Aware Write- Assist,”[64] | 40 CMOS | - | - | 3.5 | 0.32 | Bit interleav- ing with data aware power cut off | Area overhead may in- crease | Improved write ability, can work at very low Vdd | Leakage pow- er=13.5uW Switching ener- gy=0.49pJ |
Author & Title | Technology (nm) | Power (µW) | Area (mm2) | Freq (MHz) | Vdd (V) | Methodology | Trade offs | Achievements | Comments |
Mall Ambrish, Singh Suryabhan Pratap, Mishra Manish and Sri- vastava Geeti- ka,“Analysis Of 12T SRAM CELL For Low Power Application,”[65] | 45 CMOS | - | - | - | 0.4 | Data reten- tion p gated, Series con- nected tail transistors | Area over- heads may in- crease | Low power dissipation, reduced leak- age current, low energy consumption | Transistor width=100nm, Power reduction by 45.94% |
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Chen Hu, Jun Yang, Meng Zhang and Xiulong Wu, “A 12T subthreshold SRAM Bit-cell for Medical Device Application,” [66] | 130 CMOS | - | - | - | 0.4 | Schmitt Trig- ger based SRAM | Robustness issues may arrive | High stability, more robust- ness | Power consump- tion reduces to 16%, 30.2% grater hold margin, 45% better SNM |
Shayan Md, Singh Virendra, Singh Adit D and Fujita Masahiro, “SEU Tolerant Robust Memory Cell De- sign,”[67] | 130 CMOS | - | - | - | 1.2 | SEU(single event upset) Tolerant SRAM | Reliability may re- duce, area over- heads may increase | High robust- ness, high perfor- mance, more eco- nomical | 62x increase in Qcritical , It does not flip transient pulse ,α=0.2ns,β=0.05ns |
Author & Ti- tle | Tech- nology (nm) | Po wer (µ W) | Ar ea (m m2) | Fre q (M Hz) | V dd (V) | Method- ology | Trade offs | Achieve- ments | Comments |
Sriram K V, Ranganna Ramappa Naik, Pavan Nandan S G and Kendaganna Swamy, “Design Of Low Power 64-Bit SRAM Using 13T Cell,”[68] | 180 CMOS | 283.33 | - | - | 1.1 | Single read/write architecture, Stack tech- nique | Area overheads may in- crease | High perfor- mance, improved noise margin, low power consumption | Power consump- tion- static=283.14uW dynamic=161.273uw Static noise margin- read SNM=0.70v write SNM=0.685v |
Author & Title | Tech- nology (nm) | Pow- er (µW) | Area (mm2) | Freq (MHz) | Vdd (V) | Methodology | Trade offs | Achievements | Comments |
Fujiwara Hidehi- ro, Okumura Shunsuke, Iguchi Yusuke, Noguchi Hiroki, Kawagu- chi Hiroshi and Yoshimoto Masahiko, “A 7T/14T Dependa- ble SRAM and Its Array Structure to Avoid Half Selection,”[69] | 65 CMOS | - | - | - | 0.26 | Quality of bit | Larger β ratio, SNM may in- crease | Improved relia- bility, speed. Read and write operations are improved | SRAM works in 3 modes- normal, high speed, dependable |
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Yoshimoto Shusuke, Ama- shita Takuro, Okumura Shun- suke, Yamaguchi Kosuke, Yo- shimoto Masahiko, and Kawaguchi Hiro- shi, “Bit Error and Soft Error Hardenable 7T/14T SRAM with 150-nm FD- SOI Process,”[70] | 150 TCAD | - | - | - | 0.1 | FD-SOI | Between area (cost) and reli- ability | Improved BER (Bit Error Rate), SER (Soft Error Rate) and relia- bility. Improved mini- mum operating voltage | Alpha-induced SER suppressed by 80% Neutron- induced SER decreased by 34.4% Qcrit increased by 10-70% 14Tsuperior than 7T |
Nakata Yohei, Ito Yasuhiro, Sugure Yasuo, Oho Shi- geru, Takeuchi Yusuke, Okumu- ra Shunsuke, Kawaguchi Hiro- shi, and Yo- shimoto Masahiko, “Model-Based Fault Injection for Failure Effect Analysis– Evaluation of Dependable SRAM for Vehi- cle Control Units,”[71] | 65 CMOS | - | - | - | 0.4- 0.8 | Fault Injec- tion System | Dependability of SRAM af- fects dependa- bility of pro- cessor system | System level de- pendability im- proves. | Area overhead is 11% greater. Has 2 modes – normal mode and dependable mode. Vmin improved by 0.05–0.15 V |
Jinwook Jung, Yohei Nakata, Shunsuke Oku- mura, Hiroshi Kawaguchi, and Masahiko Yo- shimoto, “256-KB Associativity- Reconfigurable Cache with 7T/14T SRAM for Aggressive DVS Down to 0.57 V,”[72] | 65 CMOS | - | - | - | 0.115 | Associativity- reconfigura- ble cache. Consists of pair of cache ways. 2 pmos tran- sistors are added | Performance decrease. area overhead is increased | Reliability en- hance | Possesses scala- ble characteris- tic of reliability. Area overhead increased by 1.91% and 5.57% in 32-KB and 256-KB caches, It has 2 modes- normal mode and dependable mode |
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Jinwook Jung, Yohei Nakata, Shunsuke Oku- mura, Hiroshi Kawaguchi, and Masahiko Yo- shimoto, “A Vari- ation-Aware 0.57- V Set-Associative Cache with Mixed Associa- tivity Using 7T/14T SRAM,”[73] | 65 CMOS | - | 2.04 | - | 0.57 in de- penda ble mode | Induced de- fective SRAM cells, 2 pmos transistors are added andmixed associativity scheme is used | Area overhead, Don’t have sufficient op- erating mar- gins | Minimum oper- ating voltage (Vmin) is re- duced, reliability im- proves | Reduced Vmin by 80 mV with- in 7.81% capaci- ty and 5.22% area overhead. It has 2 modes - normal mode and dependable mode |
Yamaguchi Kosuke, Okumu- ra Shunsuke, Yoshimoto Masahiko, and Kawaguchi Hiro- shi, “0.42-V 576- kb 0.15-µm FD- SOI SRAM with 7T/14T Bit Cells and Substrate Bias Control Cir- cuits for Intra-Die and Inter-Die Variability Com- pensation,”[74] | 0.15 FD- SOI | - | - | - | 0.42 | FD-SOI substrate bias control mech- anism. | Process varia- tions may af- fect the sys- tem. | Maximizes the operating mar- gin, retention voltage is reduced | Two operating modes - normal mode and de- pendable mode. Minimum re- tention is re- duced to 0.28 V |
Nakata Yohei , Okumura Shun- suke , Kawaguchi Hiroshi , and Yoshimoto Masahiko, “0.5-V Operation Varia- tion-Aware Word-Enhancing Cache Architec- ture Using 7T/14T hybrid SRAM,” [75] | 65 | - | - | - | 0.5 | Variation aware word enhancing scheme | Extra control lines are re- quired | Improved relia- bility and control lines, Low power con- sumption | Suitable for dynamic volt- age and fre- quency scal- ing(DVFS), Power reduc- tions are 90% and 65% |
In this paper a comparison on SRAM-Bit Cell based on different technology, cell type and analysis of various design techniques is done. In Dual Vth technique both leakage power and performance are improved with an area overhead and speed penalty. The MTCMOS offers low leakage power consumption with stronger stability at the cost of additional transistors. In Body bias- ing threshold voltage is modified which reduces leakage power but at the cost of stability. Sense amplifier offers low leakage power dissipation with increased device sizing and layout optimization. In Sub threshold both leakage power, read and write margins are improved at the cost of performance degradation. If speed is increased, area also increases. If high robustness is obtained, then noise margins increases.
The authors are grateful to their organizations for their help and support to carry-out this work.
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[33] Kulkarni Jaydeep P., and Roy Kaushik, “Ultralow-Voltage Process-Variation-Tolerant Schmitt-Trigger-Based SRAM Design,” IEEE Trans. Very
Large Scale Integr. (VLSI) Syst.,vol. 20, No. 2, pp. 319-332, Feb. 2011.
[34] Rooseleer Bram, Cosemans Stefan, and Dehaene Wim, “A 65 nm, 850 MHz, 256 kbit, 4.3 pJ/access, ultra low leakage power memory using dynam- ic cell stability and a dual swing data link,” Proc. 2011 IEEE ESSCIRC, Helsinki, pp. 519-522, 12-16 Sept. 2011.
[35] Bansal Aditya, Mukhopadhyay Saibal, and Roy Kaushik, “Device-Optimization Technique for Robust and Low-Power FinFET SRAM Design in
NanoScale Era,” IEEE Trans. Electron Devices, vol. 54, No. 6, pp. 1409-1419, June 2007.
[36] Amelifard Behnam, Fallah Farzan, and Pedram Massoud, “Leakage Minimization of SRAM Cells in a Dual-Vt and Dual-Tox Technology,” IEEE Trans. Very Large Scale Integr. (VLSI) Syst., vol. 16, No. 7, pp. 851-860, July 2008.
[37] Sharifkhani Mohammad and Sachdev Manoj, “An Energy Efficient 40 Kb SRAM Module With Extended Read/Write Noise Margin in 0.13 um
CMOS,” IEEE J. Solid-State Circuits, vol. 44, No. 2, pp. 620-630, Feb 2009.
[38] Lakshminarayanan S., Joung J., Narasimhan G., Kapre R., Slanina M., Tung J., Whately M., Hou C-L., Liao W-J., Lin S-C., Ma P-G., Fan C-W., Hsieh
M-C., Liu F-C., Yeh K-L., Tseng W-C., and Lu S.W., “Standby Power Reduction and SRAM Cell Optimization for 65nm Technology,” 10th Int. Symp.
2009 IEEE Quality Electronic Design Conf., San Jose, pp. 471-475, 16-18 Mar. 2009.
[39] Jiao Hailong, and Kursun Volkan, “Low Power and Robust Ground Gated Memory Banks with Combined Write Assist Techniques,” IEEE Faible
Tension Faible Consommation, Paris, pp. 1-4, 6-8 June 2012.
[40] Liu Zhiyu and Kursun Volkan, “Characterization of a Novel Nine-Transistor SRAM Cell,” IEEE Trans. on Very Large Scale Integration Syst., vol. 16, No. 4, pp. 488-492, Apr. 2008.
[41] Birla Shilpi, Shukla Neeraj Kr., Pattanaik Manisha, Singh R.K., “Device and Circuit Design Challenges for Low Leakage SRAM for Ultra Low Pow-
er Applications,” IEEE Canadian Journal on Electrical & Electronics Engineering, vol. 1, No. 7, pp. 156-167, Dec. 2010.
[42] Yadav Monika, and Akashe Shyam, “New Technique For Reducing SubThreshold Leakage In SRAM,” IEEE Computer Society, 2nd Int. Advanced
Computing & Communication Technologies Conf., Rohtak India, pp. 374-377, 7-8 Jan. 2012.
[43] Takeda Koichi, Hagihara Yasuhiko, Aimoto Yoshiharu, Nomura Masahiro, Nakazawa Yoetsu, Ishii Toshio, and Kobatake Hiroyuki, “A Read- Static-Noise-Margin-Free SRAM Cell for Low-VDD and High-Speed Applications,” IEEE J. Solid-State Circuits, vol. 41, No. 1, pp.113-121, Jan. 2006.
[44] P Rajeev Anand., and P Chandra Sekhar., “Reduce Leakage Currents in Low Power SRAM cell Structures,” 9th Int. Symp. 2011 IEEE Parallel and
Distributed Processing with Applications Workshops Conf., Busan, pp. 33-38, 26-28 May 2011.
[45] Kim Tea-Hyoung, Liu J., and Kim C.H., “An 8T subthreshold SRAM Cell Utilizing Reverse Short Channel Effect for Write Margin and Read Per- formance Improvement,” IEEE Custom Integrated Circuits Conf., San Jose, pp. 241-244,16-19 Sept. 2007.
[46] Verma N., and Chandrakasan A.P., “A 256 kb 65 nm 8T Subthreshold SRAM Employing Sense-Amplifier Redundancy,” IEEE J. Solid-State Circuits, vol. 43, No. 1, pp. 141-149, Jan. 2008.
[47] Wang Bo, Zhou Jun, and Kim Tony T., “Maximization of SRAM Energy Efficiency Utilizing MTCMOS Technology,” 4th Asia Symp. 2012 IEEE Quali-
ty Electronic Design Conf., Penang, pp. 35-40, 10-11 July 2012.
[48] Kwong Joyce, Ramadass Yogesh K., Verma Naveen, and Chandrakasan Anantha P., “A 65 nm Sub-Vt Microcontroller With Integrated SRAM and
Switched Capacitor DC-DC Converter,” IEEE J. Solid-State Circuits., vol. 44, No. 1, pp. 115-126, Jan. 2009.
[49] Jain Sanjeev K., and Agarwal P., “A Low Leakage and SNM Free SRAM Cell Design in Deep Sub micron CMOS Technology,” 5th Int. Embedded
Systems And Design Conf., 3-7 Jan. 2006.
[50] Ramani Ramnath Arun, and Choi Ken, “A Novel 9T SRAM Design in Sub-Threshold Region,” IEEE Electro/Information Technology Int. Conf., Manka- to US, pp. 1-6, 15-17 May 2011.
[51] Razavipour G., Kusha Afzali A., and Pedram M., “Design and Analysis of Two Low Power SRAM Cell Structures,” IEEE Trans. Very Large Scale
Integr. (VLSI) Syst., vol. 17, No. 10, pp. 1551-1555, Mar. 2009.
[52] Mali Madan, Dr. Sutaone M.S., Bhalerao Mangesh, and Tak Shital, “Deep Submicron Implementation of Gating Transistor Power Saving Technique for Power Optimized Code Book SRAM,” 4th IEEE Industrial Electronics and Applications Conf., Xian, pp. 2616-2619, 25-27 May 2009.
[53] Masuda Chotaro, Hirose Tetsuya, Matsumoto Kei, Osaki Yuji, Kuroki Nobutaka, and Numa Masahiro, “High Current Efficiency Sense Amplifier
Using Body-Bias Control for Ultra-Low-Voltage SRAM,” 54th Int. Midwest Symp. 2011 IEEE Circuits and Systems Conf., Seoul, pp.1-4, 7-10 Aug. 2011. [54] Clark Lawrence T., Morrow Michael and Brown William, “Reverse-Body Bias and Supply Collapse for Low Effective Standby Power,” IEEE Trans.
Very Large Scale Integr. (VLSI) Syst., vol. 12, No. 9, pp. 947-956, Sept. 2004.
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[55] Singh R., Pattanaik M., and Shukla N., “Characterization of a Novel Low-Power SRAM Bit-Cell Structure at Deep Sub-Micron CMOS Technology for Multimedia Applications,” Circuits and Systems Scientific Research, vol. 3, No. 1, pp. 23-28, Jan. 2012.
[56] Saripalli Vinay, Datta Suman, Narayanan Vijaykrishnan, and Kulkarni Jaydeep P., “Variation-Tolerant Ultra Low-Power Heterojunction Tunnel
FET SRAM Design,” Symp. 2011 IEEE Nanotechnol. Mag. Conf., San Diego, pp. 45-52, 8-9 June 2011.
[57] Calhounand Benton Highsmith and Chandrakasan Anantha P., “A 256-kb 65-nm Sub-threshold SRAM Design for Ultra-Low-Voltage Operation,”
IEEE J. Solid-State Circuits, vol. 42, No. 3, pp. 680-688, Mar. 2007.
[58] Ebrahimi Amir, Kargaran Ehsan and Golmakani Abbas,“Design and Analysis of Three New SRAM Cells,” Majlesi Journal of Electrical Engineering,
vol. 6, No. 4, pp. 30-38, Dec. 2012.
[59] Lo Cheng-Hung and Huang Shi-Yu,“P-P-N Based 10T SRAM Cell for Low-Leakage and Resilient Subthreshold Operation,” IEEE J. Solid-State
Circuits, vol. 46, No. 3, pp. 695-704, Mar. 2011.
[60] Moradi Farshad , Wisland Dag T., Mahmoodi Hamid, Berg Yngvar, and Cao. Tuan Vu, “New SRAM Design Using Body Bias Technique for Ultra
Low Power Applications,” 11th Int. Symp. 2010 IEEE Quality Electronic Design Conf., San Jose CA, pp. 468-471, 22-24 Mar. 2010.
[61] Moradi Farshad, Wisland Dag.T., Aunet Snorre, Mahmoodi Hamid and Cao Tuan Vu, “65nm Sub-Threshold 11T-SRAM for Ultra Low Voltage
Applications,” IEEE SOC Conf., Newport Beach CA, pp. 113-118, 17-20 Sept. 2008.
[62] Singh Ajay Kumar, Prabhu C.M.R., Pin Soo Wei and Hou Ting Chik, “A Proposed Symmetric and Balanced 11-T SRAM Cell for lower power con- sumption,” IEEE TENCON Conf., Singapore, pp.1-4, 23-26 Jan. 2009.
[63] Lin Sheng, Kim Yong-Bin, and Lombardi Fabrizio, “A 11-Transistor Nanoscale CMOS Memory Cell for Hardening to Soft Errors,” IEEE Trans. on
Very Large Scale Integration Syst., vol. 19, No. 5, pp. 900-904, May. 2011.
[64] Chiu Yi-Wei, Hu Yu-Hao, Tu Ming-Hsien, Zhao Jun-Kai, Jou Shyh-Jye and Chuang Ching-Te, “A 40 nm 0.32 V 3.5 MHz 11T Single-Ended Bit- Interleaving Subthreshold SRAM with Data-Aware Write-Assist,” Int. Symp. 2013 IEEE Low Power Electronics and Design Conf., Beijing, pp. 51-56, 4-6
Sept. 2013.
[65] Mall Ambrish, Singh Suryabhan Pratap, Mishra Manish and Srivastava Geetika,“Analysis Of 12T SRAM CELL For Low Power Applica- tion,”.Available:http://conference.aimt.edu.in/paper/ec%20paper/ANALYSIS%20OF%2012T%20SRAM%20CELL%20FOR%20LOW%20POWER
%20APPLICATION.pdf
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Testing, Sitges, pp. 13-18, 27-29 June 2012.
[68] Sriram K V, Ranganna Ramappa Naik, Pavan Nandan S G and Kendaganna Swamy, “Design Of Low Power 64-Bit SRAM Using 13T Cell,” Int.
Journal of Engineering Research & Technology, vol. 2, No. 5, pp. 1350-1352, May 2013.
[69] Fujiwara Hidehiro, Okumura Shunsuke, Iguchi Yusuke, Noguchi Hiroki, Kawaguchi Hiroshi and Yoshimoto Masahiko, “A 7T/14T Dependable
SRAM and Its Array Structure to Avoid Half Selection,” 22nd Int. VLSI Design Conf., New Delhi, pp. 295-300, 5-9 Jan. 2009.
[70] Yoshimoto Shusuke, Amashita Takuro, Okumura Shunsuke, Yamaguchi Kosuke, Yoshimoto Masahiko, and Kawaguchi Hiroshi, “Bit Error and
Soft Error Hardenable 7T/14T SRAM with 150-nm FD-SOI Process,” IEEE Int. Reliability Physics Symp., Monterey, pp. 3.1-3.6, 10-14 April 2011.
[71] Nakata Yohei, Ito Yasuhiro, Sugure Yasuo, Oho Shigeru, Takeuchi Yusuke, Okumura Shunsuke, Kawaguchi Hiroshi, and Yoshimoto Masahiko, “Model-Based Fault Injection for Failure Effect Analysis–Evaluation of Dependable SRAM for Vehicle Control Units,” 41th Int. Dependable Systems and Networks Workshops Conf., Hong Kong, pp. 91-96, 27-30 June 2011.
[72] Jinwook Jung, Yohei Nakata, Shunsuke Okumura, Hiroshi Kawaguchi, and Masahiko Yoshimoto, “256-KB Associativity-Reconfigurable Cache with 7T/14T SRAM for Aggressive DVS Down to 0.57 V,” 18th Int. IEEE Electronic Circuits and Systems Conf., Beirut, pp.524-527, 11-14 Dec. 2011.
[73] Jinwook Jung, Yohei Nakata, Shunsuke Okumura, Hiroshi Kawaguchi, and Masahiko Yoshimoto, “A Variation-Aware 0.57-V Set-Associative
Cache with Mixed Associativity Using 7T/14T SRAM,” IEEE Faible Tension Faible Consommation, Paris, pp. 1-4, 6-8 June 2012.
[74] Yamaguchi Kosuke, Okumura Shunsuke, Yoshimoto Masahiko, and Kawaguchi Hiroshi, “0.42-V 576-kb 0.15-µm FD-SOI SRAM with 7T/14T Bit Cells and Substrate Bias Control Circuits for Intra-Die and Inter-Die Variability Compensation,”. Available : http://www28.cs.kobe- u.ac.jp/pdf/EuroSOI2010_yamaguchi.pdf
[75] Nakata Yohei , Okumura Shunsuke , Kawaguchi Hiroshi , and Yoshimoto Masahiko, “0.5-V Operation Variation-Aware Word-Enhancing Cache
Architecture Using 7T/14T hybrid SRAM,” Int. Symp. 2010 IEEE Low Power Electronics And Design, Austin, pp. 219-224, 18-20 Aug. 2010.
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ISSN 2229-5518
honours degree with Gold Medal in B.Tech Electronics & Communication Engineering(ECE) from ITM University, Gurgaon.
His main area of interest are Low Power VLSI Design, IO Characterization methodologies, Timing Analysis, Mixed signal de-
sign, HDL modeling, Digital design and IP Verification.
Publications in the Journals and Conferences of National and International repute. His main research interests are in Low-Power Digital VLSI Design and its Multimedia Applications, Digital Hardware Design, Open Source EDA, Scripting and their role in VLSI Design, and RTL Design.
IJSER © 2014 http://www.ijser.org