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

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 reduce costly data movement between memory and processors. Because charge-sharing operations are confined to individual bitlines, existing DRAM-PUM architectures reorganize data into column-oriented, bit-serial... read more The post Row-Parallel DRAM Computing Cuts Data-Reorganization Overhead (Syracuse, FAU, TU Dresden) appeared first on Semiconductor Engineering. ]]>