Speeding Up Energy-Efficient Computing

Speeding Up Energy-Efficient Computing
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Explore the key components of energy-efficient computing with a focus on memory subsystems, power breakdown, DVFS effects, performance monitoring, and energy management policies. Dive into controller oscillations, evaluations, comparisons, sensitivity analysis, and power optimization strategies. Understand the trade-offs between latency and bandwidth for optimal energy savings.

  • Energy Efficiency
  • Computing
  • Memory Subsystem
  • Power Optimization
  • Latency-Bandwidth Trade-Off

Uploaded on Mar 12, 2025 | 0 Views


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Presentation Transcript


  1. CSE 591: Energy-Efficient Computing Lecture 19 SPEED: memory Anshul Gandhi 347, CS building anshul@cs.stonybrook.edu

  2. memscale paper

  3. Memory subsystem

  4. Memory power breakdown MEM MIX CPU

  5. Remarks on memory DVFS DVFS lowers power, but effect on energy is not obvious as response time might increase Some memory access stages get delayed, not necessarily end-to-end latencies

  6. Performance monitoring top sar collectl perf stat

  7. Energy management policy | 5 millisecs | 300 microsecs

  8. Controller

  9. Controller Oscillations?

  10. Evaluation

  11. Comparisons

  12. Sensitivity analysis

  13. memory_dvfs paper

  14. Memory power %

  15. Active energy

  16. Background power

  17. VF scaling

  18. Latency vs. B/W

  19. B/W vs. savings

  20. Algo in action

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