Bubble Razor An Architecture-Independent Approach to Timing-Error Detection and Correction

Transcription

1 1 Bubble Razor An Architecture-Independent Approach to Timing-Error Detection and Correction Matthew Fojtik, David Fick, Yejoong Kim, Nathaniel Pinckney, David Harris, David Blaauw, Dennis Sylvester Electrical Engineering & Computer Science Department The University of Michigan, Ann Arbor 1 1

2 Outline 2 Issues with Prior Razor Bubble Razor Algorithm Circuitry and Implementation Area Overhead Tradeoffs Test Chip Results 2 2

3 Timing Margins 3 Margins for uncertainty: Process Variation Temperature Variation Voltage Variation Aging Effects actual circuit delay Associated Costs: Lost performance Lost energy Tester time (tradeoff) Lost performance/energy clock Data Aging Temperature Process Voltage 3 3

4 Eliminating Margins 4 Always Correct Tables, Canaries D CLK Main DFF Q Detect and Correct Razor Style DCLK Shadow Latch Error S. Das, et. al. [VLSI 2005] Technique Process Ambient Data Global Local Global Local Slow Fast Slow Fast Table Lookup X X Table & Sensors X X X Canary Circuit X X Razor Designs X X X X X X X 4 4

5 Speculation Window and Hold Time 5 DFF A DFF B CLK A CLK B Speculation Window Speculation window linked to minimum delay constraint (hold time) 5 5

6 Architectural Invasiveness 6 IF ID EX MEM WB S. Das, et. al. [VLSI 2005] Razor I Style All Flops Reload Previous Values IF ID EX MEM CHK WB D. Blaauw, et. al. [ISSCC 2008] K. Bowman, et. al. [ISSCC 2008] Razor II Style Check Stage and Architectural Replay Requires Designer Effort RTL written with Razor in mind 6 6

7 Fundamentals of Bubble Razor Two-Phase Latch Timing Automatically convert Flip-Flop based design 7 Time Borrowing as Correction Mechanism Does not modify design architecture Does not require reloading / replaying instructions Local Correction (Bubbles) Break requirement of stalling entire chip at once 7 7

8 Two Phase Latch Razor Timing 8 LD A LD B CLK A CLK B Larger Speculation Window Minimum delay constraint the same as conventional design 8 8

9 Time Borrowing as Error Correction 9 LD DFF LD LD DFF LD TD TD TD TD Bubble Razor Switch to Latches, Borrow Time G closed open closed open closed X closed open D Error No Hold Time Issues Architecture Agnostic Push-button approach No metastability on datapath 9 9

10 Time Stalling Locally with Bubbles 10 Stalling the Clock Locally With flops, all registers hold data With latches, half registers hold bubbles Every latch stalls exactly once Communication only between neighbors Eventually it all resolves Blue tells Green Purple to stall tells Blue to Red stall tells Purple Yellow to stall tells Yellow takes off again Yellow tells downstream Red to stall Yellow stalls Not immediately no overwritten new data exists

11 Timing of Clock Waveforms Prevent Losing inst3 2 Should Arrive Timing violation Prevent Losing inst2 3 Give time to Recover 4 Prevent Double Sampling inst

12 Timing of Clock Waveforms Prevent Losing inst3 2 Should Arrive Timing violation Prevent Losing inst2 3 Give time to Recover 4 Prevent Double Sampling inst

13 Timing of Clock Waveforms

14 Timing of Clock Waveforms Timing violation Stall 3 Stall Neighbors 14 14

15 B B B B The Required Circuitry 15 TD TD TD TD CG CG CG CG 15 15

16 Error Detection And OR Circuitry 16 TD

17 B Clock Gate Control Logic 17 CG A cluster stalls and sends bubbles to all neighbors if Told by a neighboring cluster Did not stall in the previous cycle Equivalent to sending bubbles to other neighbors 17 17

18 Clustering with hmetis 18 Widely used Hypergraph partitioning program, hmetis Clusters must only contain members with the same phase Create two graphs, and partition independently Connected in hmetis graph, if transitively connected in circuit Edge Weight = number of latches that form transitive connection

19 Clustering Results 19 Tradeoff between sizes of OR gates Combining errors Combining bubbles 100 negative clusters 70 positive clusters 19 19

20 Two Port Memory Boundary Approach 20 Must fit edge triggered memory into stalling algorithm 20 20

21 Managing the Synthesis/APR Tools Want balanced pipelines, no time borrowing Model razor latches as flip flops Dynamic OR always followed by latch Model dynamic OR as static Model latch as flip flop (captures when latch closes) Use regular ICG cells Can use conventional clock tree synthesis Final design appears to be relatively normal Flip-flop based design with clock gating Everything is timing constrained Razorization process is entirely automated Synthesis and netlist transformation scripts

22 Retiming And Number of Latches 22 Retiming can increase the number of latches Results in area overhead 22 22

23 Area Overhead of Latch Transformation

24 Speculation Window Size Full Clock Phase (100%) Minus Delay of Error Propagation Circuits Maximum allowed by technique 24 Number / Location of Latches with Error Checking Maximum slowdown that does not result in unchecked error Speculation Window 24 24

25 Where Error Checking is Needed 25 50% 15% Leave B 30% Speculation Arrive Arrive Window C D If circuit delay suddenly becomes 130% of its nominal value, all timing errors will be detected before the circuit fails 156% 91% Delay at Worst Delay at PoFF 65% 50% 65% 26% >50? >50? >50? 50% 20% A B C D 25 25

26 Path Distribution for Cortex-M3 26 Flip Flops All Latches Negative Latches Positive Latches 26 26

27 Area Increase from Error Checking 27 20% Area Overhead 30% Timing Speculation 27 27

28 Implementation on ARM Cortex-M

29 Characterizing Throughput / Energy Operating Point Set for Worst Case Operation 85 C 10% Supply Droop 2σ Process 5% Safety Margin MHz at 1.0 V 29 29

30 Gains from Bubble Razor

31 Gains from Bubble Razor

32 Bubble Razor Results 32 Slow Average Fast 32 32

33 Bubble Razor Results 33 Worst Case First Failure 200 MHz 8.5 FFT/ms 333 MHz 14.2 FFT/ms Optimum 425 MHz 17.3 FFT/ms Worst Case First Failure 1.0 V 3.08 μj/fft V 1.42 μj/fft Optimum V 1.18 μj/fft 33 33

34 Conclusion 34 First Razor style implementation on a complete, commercial processor (ARM Cortex-M3). Proposed two-phase latch based Razor technique Novel local replay algorithm Demonstrated automated nature of technique Successfully implemented and fabricated in 45nm 60% energy efficiency or 100% throughput increase over worst case margining 34 34