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arXiv · 2402.18592

A$^3$PIM: An Automated, Analytic and Accurate Processing-in-Memory Offloader

Qingcai Jiang·Shaojie Tan·Junshi Chen·Hong An
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Abstract

The performance gap between memory and processor has grown rapidly. Consequently, the energy and wall-clock time costs associated with moving data between the CPU and main memory predominate the overall computational cost. The Processing-in-Memory (PIM) paradigm emerges as a promising architecture that mitigates the need for extensive data movements by strategically positioning computing units proximate to the memory. Despite the abundant efforts devoted to building a robust and highly-available PIM system, identifying PIM-friendly segments of applications poses significant challenges due to the lack of a comprehensive tool to evaluate the intrinsic memory access pattern of the segment. To tackle this challenge, we propose A$^3$PIM: an Automated, Analytic and Accurate Processing-in-Memory offloader. We systematically consider the cross-segment data movement and the intrinsic memory access pattern of each code segment via static code analyzer. We evaluate A$^3$PIM across a wide range of real-world workloads including GAP and PrIM benchmarks and achieve an average speedup of 2.63x and 4.45x (up to 7.14x and 10.64x) when compared to CPU-only and PIM-only executions, respectively.

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Qingcai Jiang, Shaojie Tan, Junshi Chen, Hong An. 2024-02-23. A$^3$PIM: An Automated, Analytic and Accurate Processing-in-Memory Offloader. https://arxiv.org/abs/2402.18592

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