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April 6, 2024Open Access

Efficient Sparse Processing-in-Memory Architecture (ESPIM) for Machine Learning Inference

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Authors

MHMingxuan HeMTMithuna ThottethodiTVT. N. Vijaykumar

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He et al. (2024) studied this question.

synapsesocial.com/papers/68e7031db6db64358767ce1fhttps://doi.org/10.48550/arxiv.2404.04708
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1SP-PIM: A Super-Pipelined Processing-In-Memory Accelerator With Local Error Prediction for Area/Energy-Efficient On-Device Learning2024 · 9 citations
  2. 2Towards Floating Point-Based AI Acceleration: Hybrid PIM with Non-Uniform Data Format and Reduced Multiplications2025
  3. 3PIMSAB: A <u>P</u> rocessing- <u>I</u> n- <u>M</u> emory System with <u>S</u> patially- <u>A</u> ware Communication and <u>B</u> it-Serial-Aware Computation2024 · 3 citations
  4. 4Shared-PIM: Enabling Concurrent Computation and Data Flow for Faster Processing-in-DRAM2024
  5. 5SPIMulator: A Spintronic Processing-in-memory Simulator for Racetracks2024 · 5 citations