12 citations · 13 across the 2 of their papers we have counts for
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cs.AR2024★ 1 cited
Performance Modeling and Workload Analysis of Distributed Large Language Model Training and Inference
Joyjit Kundu, Wenzhe Guo, Ali BanaGozar +4
Aligning future system design with the ever-increasing compute needs of large language models (LLMs) is undoubtedly an important problem in today's world. Here, we propose a genera…
cs.AR2020★ 12 cited
TDO-CIM: Transparent Detection and Offloading for Computation In-memory
Kanishkan Vadivel, Lorenzo Chelini, Ali BanaGozar +4
Computation in-memory is a promising non-von Neumann approach aiming at completely diminishing the data transfer to and from the memory subsystem. Although a lot of architectures h…