Adaptive Techniques for Dynamic Processor Optimization_Theory and Practice Episode 1 Part 3 ppt
Gear Noise and Vibration Episode 1 Part 3 pptx
... Maag, CH80 23, Zurich,Switzerland. 3. Harris, S.L., 'Dynamic loads on the teeth of spur gears. 1 Proc. Inst.Mech. Eng., Vol 17 2, 19 58, pp 87 -11 2.4. Niemann, G. and Baethge, ... attainable.References 1. Gregory, R.W., Harris, S.L. and Munro, R.G., 'Dynamic behaviourof spur gears.' Proc. Inst. Mech. Eng., Vol 17 8, 19 63- 64, Part I, pp207-226.2. Maag Gear Handbook ... stiffness, and noise of parallel axis gears.' VDI-Z, Vol 2, 19 70, No 4 and No8.5. Palmer, D. and Munro, R.G., 'Measurements of transmission error, vibration and noise ...
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Gear Noise and Vibration Episode 1 Part 3 pptx
... Maag, CH80 23, Zurich,Switzerland. 3. Harris, S.L., 'Dynamic loads on the teeth of spur gears. 1 Proc. Inst.Mech. Eng., Vol 17 2, 19 58, pp 87 -11 2.4. Niemann, G. and Baethge, ... attainable.References 1. Gregory, R.W., Harris, S.L. and Munro, R.G., 'Dynamic behaviourof spur gears.' Proc. Inst. Mech. Eng., Vol 17 8, 19 63- 64, Part I, pp207-226.2. Maag Gear Handbook ... stiffness, and noise of parallel axis gears.' VDI-Z, Vol 2, 19 70, No 4 and No8.5. Palmer, D. and Munro, R.G., 'Measurements of transmission error, vibration and noise ...
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Adaptive Techniques for Dynamic Processor Optimization_Theory and Practice Episode 1 Part 1 docx
... 11 .3 .1. 1 Active Sleep 260 11 .3 .1. 2 Passive Sleep 2 61 11 .3.2 P Versus N Sleep 263 11 .3.3 Entering and Exiting Sleep 264 11 .3.4 Dynamic Cache Power Down 266 11 .3.5 Data Bus Encoding 266 11 .4 ... 11 .2 .1 Voltage Optimization Techniques 2 51 11 .2 .1. 1 Column Voltage Optimization 252 11 .2 .1. 2 Row Voltage Optimization 255 11 .2.2 Timing Control 257 11 .3 Array Power Reduction 259 11 .3 .1 ... 14 8 7.3 .1 Process Variation 14 9 xii Table of Contents Chapter 11 Dynamic and Adaptive Techniques in SRAM Design 249 John J. Wuu 11 .1 Introduction 249 11 .2 Read and Write Margins 250 11 .2.1...
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Adaptive Techniques for Dynamic Processor Optimization_Theory and Practice Episode 1 Part 2 ppt
... Voltage0.00.5 1. 0 1. 5 2. 0 2. 50.4 0.5 0.6 0.7 0.8 0.9 1 1 .1 1 .2 1. 3 1. 4 1. 5Supply Voltage (Volts)Frequency (Arb Scale)Temperature = -40CTemperature = 12 5CVery convenient for a nominal ... Voltage0.00 .2 0.40.60.8 1. 0 1. 2 1. 4 1. 6 1. 8 2. 00.4 0.6 0.8 1 1 .2 1. 4 1. 6Supply Voltage (Volts)Frequency (Arb. Scale)Low VT TransistorsHigh VT Transistors Chapter 2 Technological Boundaries of Voltage and ... Dielectric and Body-Biasing Scheme,” Symposium on VLSI Technology, Digest of Tech. Papers, pp. 21 8 – 21 9 , June 20 05. Chapter 1 Technology Challenges Motivating Adaptive Techniques 13 Figure 1. 12...
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Adaptive Techniques for Dynamic Processor Optimization_Theory and Practice Episode 1 Part 3 ppt
... part of the total leakage current. 32 Maurice Meijer, José Pineda de Gyvez -1. 2 -1. 1 -1 -0.9-0.8-0.7-0.6-0.5-0.4-0 .3 -0.2-0 .1 00 .1 0.20 .3 0.40.80.9 1 1 .1 1.2 1. 3 1. 4 1. 5 1. 6 1. 7 1. 8 1. 922 .1 2.22 .3 2.4P-well ... Figure 2 .11 a,b show that the dominant leakage component in the total leakage depends on the operating condition. 10 E -15 10 0E -15 1E -12 10 E -12 10 0E -12 0.4 0.5 0.6 0.7 0.8 0.9 1 1 .1 1.2 1. 3 1. 4Power ... 10 E -15 10 0E -15 1E -12 10 E -12 10 0E -12 1E-9-50 -25 0 25 50 75 10 0 12 5 15 0Temperature in [degC]Leakage current in [A/μm]Total leakage Subthreshold Gate oxide tunneling GIDL Figure 2 .11 ...
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Adaptive Techniques for Dynamic Processor Optimization_Theory and Practice Episode 1 Part 4 pdf
... 2.263.0 1. 52.03.0 1. 5 2.0 2.5 (b) fm = (f 1 + f2)/2 γf1/f2 1. 03 1. 06 1. 09 1. 13 1. 06 1. 12 1. 19 1. 26 1. 05 1. 11 1 .17 1. 24 1. 10 1. 22 1. 36 1. 52 1. 09 1. 18 1. 28 1. 39 1. 17 1. 38 1. 63 1. 94 3.0 1. 52.03.0 1. 5 ... waste and the maximum waste, respectively. (a) fm = f2 γf1/f2 1. 01 1.03 1. 05 1. 08 1. 02 1. 04 1. 08 1. 13 1. 03 1. 07 1. 13 1. 20 1. 05 1. 13 1. 24 1. 41 1.06 1. 15 1. 27 1. 40 1. 12 1. 33 1. 69 2.263.0 1. 52.03.0 1. 5 ... 37, No. 11 , pp. 14 41 14 47 [8] V. Gutnik and A. Chandrakasan, “Embedded power supply for low-power DSP”, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, December 19 97, Vol....
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Adaptive Techniques for Dynamic Processor Optimization_Theory and Practice Episode 1 Part 4 potx
... dies:0% 11 0C 1. 1VABBNBBσ/μ=0.69%σ/μ =4 .1% 0 1 23 4 560.925 1 1.075 1. 15 1. 225Normalized frequencyNormalized leakage0%20% 40 %60%80% 10 0%Die countNBBABBAccepted dies:0% 11 0C 1. 1VABBNBBσ/μ=0.69%σ/μ =4 .1% ... adaptive body bias uses both forward and 0 4 8 12 16 200 200 40 0 600Forward Body Bias (mV) 1. 2V 1. 5VROOMHOT0 4 8 12 16 200 200 40 0 600Forward Body Bias (mV) 1. 2V 1. 5VROOMHOT0 4 8 12 16 200 ... 600Forward Body Bias (mV) 1. 2V 1. 5VROOMHOT0 4 8 12 16 200 200 40 0 600Forward Body Bias (mV) 1. 2V 1. 5VROOMHOT0 4 8 12 16 200 200 40 0 600Forward Body Bias (mV) 1. 2V 1. 5VROOMHOT0 4 8 12 16 200...
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Adaptive Techniques for Dynamic Processor Optimization_Theory and Practice Episode 1 Part 6 pptx
... Chapter 5 Adaptive Supply Voltage Delivery for U-DVS Systems 10 1 0 .1 0 .15 0.20.250.30.350.4Normalized Width (W)Number of Stages (N) 1 2 3 4 5 6 4 6 8 10 12 14 16 18 Figure 5 .6 Equal σ/μ ... 02040 60 80 10 0 12 00 50 10 0 15 0 200Aging Time (Hours)PMOS Body Bias (mV)0.9V 1. 2V 15 00 15 50 16 00 16 50 17 00Fmax (MHz)Aged Fmax (0.9V)Compensated Fmax Figure 4 .18 Aging compensation using dynamic ... 0.4 0 .6 0.8 1 00 .1 0.20.30.40.50 .6 0.70.80.9 1 VIN, VOUT (V)VIN, VOUT (V)0 0.2 0.4 0 .6 0.8 1 00 .1 0.20.30.40.50 .6 0.70.80.9 1 VIN, VOUT (V)VIN, VOUT (V)WLM2M1M4M3M6M5WLBL...
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Adaptive Techniques for Dynamic Processor Optimization_Theory and Practice Episode 1 Part 7 ppsx
... Techniques for Dynamic Processor Optimization, DOI: 10 .10 07/ 978 -0-3 87- 76 472 -6_6, â Springer Science+Business Media, LLC 2008 Chapter 5 Adaptive Supply Voltage Delivery for U-DVS Systems 11 5 ()() ... a power source for wireless sensor nodes,” Computer Communications, vol. 26, no. 11 , pp. 11 31 11 44, July 2003. [6] A. Wang and A. Chandrakasan, “A 18 0-mV Sub-threshold FFT processor using ... opamp-based 10 -B integrated ADC for implantable biomedical applications,” IEEE Trans. Circuits Syst. I, Reg. Papers, vol. 51, no. 1, pp. 17 4 17 7, Jan. 2004. [30] Y. K. Ramadass and A. P. Chandrakasan,...
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Adaptive Techniques for Dynamic Processor Optimization_Theory and Practice Episode 1 Part 8 ppsx
... 31, No. 11 , pp. 17 23 17 32, November 19 96. Chapter 7 Sensors for Critical Path Monitoring 14 7 DVFS is typically used to optimize the power/performance of a micro- processor [7], [11 ], [26], ... No. 11 , pp. 4 98 506, November 20 01. [2] Montonarro, J, et al., “A 16 0 MHz, 32b 0.5W CMOS RISC microprocessor,” IEEE Journal of Solid-state Circuits, vol. 31, pp. 17 03 17 14, November 19 96. ... generation [1] , [20], timing sensitivity to such environmental condi-tions as temperature [19 ], [ 31] , aging [3], workload [19 ], [13 ], cross-talk noise in wires [ 18 ], NBTI [12 ], and many other...
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Adaptive Techniques for Dynamic Processor Optimization_Theory and Practice Episode 2 Part 1 potx
... is little 0.8 0.9 1. 0 1. 1 1 .2 0.80.9 1 1 .1 1 .2 1. 3 1. 4 1. 5High Frequency, FVDDNormalized PeriodNandWirePGNorAdd0.8 0.9 1. 0 1. 1 1 .2 0.80.9 1 1 .1 1 .2 1. 3 1. 4 1. 5Low Frequency, F/3VDDNormalized ... in Figure 7 .11 as a basis for its design. f 11 00000 011 111 100000 011 111 Slower cycle Faster cycleedge n +1 edge nin 1 111 111 000000expectedlevelthermometer code output00000 010 0000edge ... 1 .2 0.80.850.90.95 1 1.05 1. 1 1. 15 1 .2 1 .25 VDDNormalized DelayHigh Frequency, FNORWireTmin0.9 1. 0 1. 1 1 .2 0.750.80.850.90.95 1 1.05 1. 1 1. 15 1 .2 VDDNormalized DelayLow Frequency, F /2 NORWireTmin...
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Adaptive Techniques for Dynamic Processor Optimization_Theory and Practice Episode 2 Part 2 pdf
... Chapter 8 Architectural Techniques for Adaptive Computing 179 Table 8.1 Adaptive techniques landscape. 8 .2 “Always-Correct” Techniques As mentioned before, “always-correct” techniques predict the ... EQ1EQ2CK0CK1CK2INCOMING DATATo SystemTdTdS0S1S2CK0CK1CK2DEQ0EQ1EQ2CKa) b)EQ0 EQ1EQ2CK0CK1CK2INCOMING DATATo SystemTdTdS0S1S2CK0CK1CK2DEQ0EQ1EQ2CKa) ... K. Kumano, and M. Shimura, Dynamic Voltage and Fre-quency Management for a Low-Power Embedded Microprocessor,” IEEE J. Solid-State Circuits, vol. 40, no. 1, Jan 20 05, pp. 28 –35. [25 ] S. Nassif,...
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Adaptive Techniques for Dynamic Processor Optimization_Theory and Practice Episode 2 Part 3 potx
... incubation, drift and threshold in single-damascene copper interconnects,” IEEE 20 02 Interna-tional Interconnect Technology Conference, 20 02, pp. 127 – 129 , 3 5 June 20 02. [4] W. Jie and E. Rosenbaum, ... margin and 17.3mW is due to 30 mV process margin. Figure 8.15 Total energy savings. (â IEEE 20 05) 80100 120 140160 27 .3mW180mVPowerSupplyIntegrity11.3mW70mVTemp17.3mW 130 mVProcess104.5mW4.2mW 30 mVProcess89.7mW99.6mW104.5mW119.4mW89.7mW119.4mW11.5mW70mVTemp 27 .7mW180mVPowerSupplyIntegrity104.5mW119.4mW99.6mWchip2chip1chip2chip1chip2chip1Measured ... IEEE 20 05) 0.58-0.890.64-0.8 127 C1.8VFast0.65-0.900.71-0. 834 0C1.8VTyp.0.67-0. 930 .77-0.8785C1.8VSlow0.40-0.610.48-0.5 627 C1.2VFast0.48-0.610. 52- 0.5840C1.2VTyp.0. 53- 0.640.57-0.6085C1.2VSlowTEMPVDDProcDetectionBandAmbiguousBandCorner0.58-0.890.64-0.8 127 C1.8VFast0.65-0.900.71-0. 834 0C1.8VTyp.0.67-0. 930 .77-0.8785C1.8VSlow0.40-0.610.48-0.5 627 C1.2VFast0.48-0.610. 52- 0.5840C1.2VTyp.0. 53- 0.640.57-0.6085C1.2VSlowTEMPVDDProcDetectionBandAmbiguousBandCorner0.00.40.81 .21 . 62. 00.00.40.81 .2 1.6...
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Adaptive Techniques for Dynamic Processor Optimization_Theory and Practice Episode 2 Part 4 pps
... Array size Wordlines Bitlines Effective critical paths 25 6 B 32 64 105 5 12 B 64 64 195 1 0 24 B 128 64 415 20 48 B 25 6 64 730 21 2 Sebastian Herbert, Diana Marculescu block’s slowest path ... Multi-Clock Processors 22 7 Architectural Support for Programming Languages and Operating Systems, 20 04, pp. 24 8 25 9 [17] W. Zhao and Y. Cao, “New Generation of Predictive Technology Model for Sub -45 nm ... 00.050.10.150 .2 -3 -2 -1 0 1 2 3 4 5fΔT-W ID(Δt)ΔTWID, standard deviations00 .2 0 .4 0.60.81-3 -2 -1 0 1 2 3 4 5FΔT-WID(Δt)ΔTWID, standard deviations Figure 9 .4 PDFs and CDFs for ΔTWID....
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Advanced Mathematical Methods for Scientists and Engineers Episode 1 Part 3 pptx
... ( 1) n 1 (n − 1) !, for n ≥ 1. By Taylor’s theorem of the mean we have,ln x = (x − 1) −(x − 1) 22+(x − 1) 3 3−(x − 1) 44+ ··· + ( 1) n 1 (x − 1) nn+ ( 1) n(x − 1) n +1 n + 1 1ξn +1 .72 3. 8 ... aref 1 (x) = 1 f2(x) = 1 + xf 3 (x) = 1 + x +x22f4(x) = 1 + x +x22+x 3 6The four approximations are graphed in Figure 3 .11 . -1 -0.5 0.5 1 0.5 1 1.522.5 -1 -0.5 0.5 1 0.5 1 1.522.5 -1 -0.5 ... 0.5 1 0.5 1 1.522.5 -1 -0.5 0.5 1 0.5 1 1.522.5 -1 -0.5 0.5 1 0.5 1 1.522.5 -1 -0.5 0.5 1 0.5 1 1.522.5Figure 3 .11 : Four Finite Taylor Series Approximations ofexNote that for the range of x we are looking...
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