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An Analysis of Memory Access in Relation to Operations on Data Structures

An Analysis of Memory Access in Relation to Operations on Data Structures. An Analysis of Memory Access in Relation to Operations on Data Structures. Ryan Connaughton & Daniel Rinzler CSE 60641 December 13, 2006. Memory latency is a consistent bottleneck

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An Analysis of Memory Access in Relation to Operations on Data Structures

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  1. An Analysis of Memory Access in Relation to Operations on Data Structures An Analysis of Memory Access in Relation to Operations on Data Structures Ryan Connaughton & Daniel RinzlerCSE 60641December 13, 2006

  2. Memory latency is a consistent bottleneck Paging algorithms aim to minimize page faults Generality vs Optimization Suggestion: Optimize paging algorithms at runtime for specific scenarios The Problem

  3. Determine if potentially exploitable relationships between data structure usage and memory access locality exist Three Phases: 1 - Determine virtual memory behavior for benchmarks 2 - Verify that same behavior exists in physical memory 3 - Evaluate potential for optimizations Our Experiment

  4. Goal: To determine memory access behavior for an array Valgrind – Linux program debugger & profiler Scripts to filter for array accesses Phase 1: Virtual Memory Logging

  5. Goal: To verify that the access behavior from Phase 1 is consistent in physical memory Bochs Virtual Machine Modified to log physical memory access Phase 2: Physical Memory Logging

  6. Three benchmarks used to test arrays: 1 - Sequential Access 2 - Bubblesort 3 - Heapsort Executed using Valgrind & Bochs logging, then Analyzed Phase 3: Evaluation

  7. Results: Sequential Access... Valgrind

  8. Results: Sequential Access... Bochs

  9. Results: Bubblesort... Valgrind

  10. Results: Bubblesort... Bochs

  11. Results: Heapsort... Valgrind

  12. Results: Heapsort... Bochs

  13. Paging algorithms sacrifice optimization for generality Distinguishable access patterns exist in certain situations Conveying this information to the system could allow for optimizations Conclusions

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