most citedNeCTAr: A Heterogeneous RISC-V SoC for Language Model Inference in Intel 16

5 citations · 6 across the 2 of their papers we have counts for

collaborators

2 papers

cs.AR2025★ 1 cited

hdl2v: A Code Translation Dataset for Enhanced LLM Verilog Generation

Charles Hong, Brendan Roberts, Huijae An +3

Large language models (LLMs) are playing an increasingly large role in domains such as code generation, including hardware code generation, where Verilog is the key language. Howev…

cs.AR2025★ 5 cited

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…