Semiconductor Engineering#semiconductor
Row-Parallel DRAM Computing Cuts Data-Reorganization Overhead (Syracuse, FAU, TU Dresden)
BerojgarDegreeWala Editorial5 October 2026
Semiconductor Engineering5 October 2026
Row-Parallel DRAM Computing Cuts Data-Reorganization Overhead (Syracuse, FAU, TU Dresden)
Original Publication
Semiconductor Engineering
Executive Briefing & Key Highlights
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 confin
Topics:semiconductorchip designEDAprocessormemory