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Berkin Akin, Franz Franchetti and James C. Hoe (IEEE Micro, Vol. 36, No. 1, pp. 14-23, 2016)
HAMLeT Architecture for Parallel Data Reorganization in Memory
Published paper (link to publisher)
Bibtex

3D-stacked integration of DRAM and logic layers using through-silicon via (TSV) technology has given rise to a new interpretation of near-data processing (NDP) concepts that were proposed decades ago. However, processing capability within the stack is limited by stringent power and thermal constraints. Simple processing mechanisms with intensive memory accesses, such as data reorganization, are an effective means of exploiting 3D stacking-based NDP. Data reorganization handled completely in memory improves the host processor's memory access performance. However, in-memory data reorganization performed in parallel with host memory accesses raises issues, including interference, bandwidth allocation, and coherence. Previous work has mainly focused on performing data reorganization while blocking host accesses. This article details data reorganization performed in parallel with host memory accesses, providing mechanisms to address host/NDP interference, flexible bandwidth allocation, and in-memory coherence.

Keywords:
Parallel processing, Memory, Architecture