30.6 Vecim: A 289.13GOPS/W RISC-V Vector Co-Processor with Compute-in-Memory Vector Register File for Efficient High-Performance Computing

Towards efficient generative AI and beyond-AI computing: New trends on ISSCC 2024 machine learning accelerators

“…Moreover, researchers are collaborating and considering challenges from a systematic perspective to help CIM integrate into real computing systems. A DCIM-based neural visual-enhancement engine (NVE) is fabricated in the 3 nm process through the collaboration of MediaTek and TSMC [17] . Wang et al from the University of Texas at Austin present Vecim, a RISC-V vector co-processor integrated with a CIMbased vector register file, using foundry SRAM cells in 65 nm CMOS for efficient high-performance computing [18] .…”