Subthreshold Logical Effort: A Systematic Framework for Optimal Subthreshold Device Sizing
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1 Subthreshold Logical Effort: A Systematic Framework for Optimal Subthreshold Device Sizing John Keane, Hanyong Eom, ae-hyoung Kim, Sachin Sapatnekar, Chris Kim University of Minnesota Department of Electrical and Computer Engineering jkeane@ece.umn.edu 1
2 Presentation Agenda Subthreshold design Conventional logical effort Proposed subthreshold logical effort formulation Simulation results Conclusion 2
3 Main Benefit Subthreshold Operation Super-linear power savings P total f I ds (A/µm) C 1.E-03 1.E-04 1.E-05 1.E-06 1.E-07 1.E-08 1.E-09 1.E-10 dd leak dd Minimum energy solution for low-performance designs 2 operating region + I log scale gs E+00 gs () I ds linear scale 5.E-04 4.E-04 3.E-04 2.E-04 1.E-04 Limitations P variation Interconnect delay Lack of a systematic design methodology 3
4 Subthreshold Operation Hearing Aids Distributed Sensor Networks atches Main Benefit Super-linear power savings P total f C dd leak dd Minimum energy solution for low-performance designs 2 + I Limitations P variation Interconnect delay Lack of a systematic design methodology 4
5 Conventional Logical Effort Key Assumptions p: parasitic delay, g: logical effort 1) Devices in a stack are equally sized 2) Resistance of an n-stack is n times the resistance of a single device 3) P : N ~ 2:1 hese assumptions must be revisited for optimal sizing of subthreshold circuits 5
6 Assumption 1: Sizing within the Stack e introduce the following constant:, and use straight forward steps to solve for x : X e λ k d m dd I U ln 1 + U q L ( ) ( + γ + ( )) 1 e dd X t X d dd X ( dd m U e ( + ) 0 λ dd t 0 λd X m I L Le 1 e X X ) 6
7 7 + 1 U Equate the currents and define U + L to eliminate L : Setting 0 gives us the optimal sizing factors: Assumption 1: Continued t dd m U U U U L U e I I 0 ) ( + U U I / Device nearest to the supply rail is sized up by a factor of + 1 L ) ( dd d m e λ
8 Sizing Ratio within the Stack Device dd 0.3 dd 0.2 NMOS U 1µm 1µm L U µm µm µm, 1.2, R Benefit of optimal sizing is negligible (~1%) Use 1:1 stack ratio for simplicity 8
9 Assumption 2: Effective idth of Stacks Defining U L, we find: IU For a single transistor, the current equation is: I I L + 2 dd t 0 dd e ( + λ ) m e 1+ dd t 0 d dd dd t 0 m m e e eff eff m t 0 hese two equations tell us: eff 1 + eff wo stacked transistors should be sized up by a factor of 1+ λ d dd m ( e ) 9
10 New Subthreshold Logical Effort Simulation results vs. our theoretical results (UMC 0.13µm) dd 0.3 dd 0.2 Measured heoretical 1+ Measured heoretical 1+ PMOS NMOS Conventional logical effort 1) 1:1 inter-stack sizing 2) Size up by factor of 2 3) 2.5 : 1 beta ratio Subthreshold logical effort 1) 1:1 inter-stack sizing 2) Size up by factor of 1 + 3) 1.5 : 1 beta ratio 10
11 Optimal Sizing for n-stacks Use same procedure introduced for the 2-stack Choose equivalent size for all devices for negligible performance hit Each device in an n-stack should be scaled up by a factor of [1+(n-1)] n 1 + 1,n
12 est Cases: Optimizing a Critical Path Modified the widths in order to achieve equal delays through the two paths using the worst-case input patterns for each ( stack and fast paths) est 3 cases: 1) Only the new stack sizing factors are used 2) Use 1.5:1 PMOS:NMOS width ratio with strong-inversion stack sizing 3) Combine the two improvements P : N New stack sizing? dd 0.3 Fast Path Stack Path dd 0.2 Fast Path Stack Path Conventional 2.5:1 No 18.08ns 20.34ns 140.0ns 150.1ns Case 1 2.5:1 Yes -9.79% 13.17% -4.54% 13.38% Case 2 1.5:1 No 22.08% 11.22% 20.78% 11.32% Case 3 (proposed) 1.5:1 Yes 7.21% 22.17% 11.40% 20.99% 12
13 ISCAS Benchmark Results Circuit Conv. dd 0.3 Proposed Speedup Conv. dd 0.2 Proposed Speedup C ns ns 10.67% ns ns 10.11% C ns ns 12.63% ns ns 8.31% C ns ns 4.38% ns ns 6.29% C ns ns 13.46% ns ns 12.32% ns ns 5.25% ns ns 5.08% ns ns 6.20% ns ns 6.78% 74L ns ns 6.59% ns ns 7.80% ns ns 33.1% ns ns 32.1% hree cell libraries were created 1) Conventional strong-inversion sizing 2) Optimized for 0.3 supply 3) Optimized for 0.2 supply ( e ( e λd 0.3 m λd 0.2 m ) ) 13
14 Conclusion Subthreshold design holds promise for emerging ultra-low power applications Design methodologies must be reformulated New derivation of the optimal stack sizing for subthreshold Proposed subthreshold logical effort methodology led to performance benefits ranging from 4.4% to 33.1% 14
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