2 papers
cs.AR2025
DreamRAM: A Fine-Grained Configurable Design Space Modeling Tool for Custom 3D Die-Stacked DRAM
Victor Cai, Jennifer Zhou, Haebin Do +2
3D die-stacked DRAM has emerged as a key technology for delivering high bandwidth and high density for applications such as high-performance computing, graphics, and machine learni…
cs.AR2025
NeCTAr: A Heterogeneous RISC-V SoC for Language Model Inference in Intel 16
Viansa Schmulbach, Jason Kim, Ethan Gao +4
This paper introduces NeCTAr (Near-Cache Transformer Accelerator), a 16nm heterogeneous multicore RISC-V SoC for sparse and dense machine learning kernels with both near-core and n…