Row-Parallel DRAM Computing Cuts Data-Reorganization Overhead (Syracuse, FAU, TU Dresden)

T2Covered by 1 source · first reported by Semiconductor Engineering / SemiWiki / EE Times / EE Journal / Electronics Weekly at 05 Oct, 18:16 UTC

Researchers at Syracuse University, Friedrich-Alexander-Universität Erlangen-Nürnberg, and TU Dresden published a technical paper titled “RAPID: Row-Parallel Arithmetic Processing in DRAM.” Abstract Excerpt: “Processing-using-memory (PUM) architectures perform computation directly within DRAM to…

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• T2Row-Parallel DRAM Computing Cuts Data-Reorganization Overhead (Syracuse, FAU, TU Dresden)Semiconductor Engineering / SemiWiki / EE Times / EE Journal / Electronics Weekly05 Oct, 18:16