1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.AR2026
Torch-PIM: Automated Profile-Guided PIM Offloading for PyTorch
Heeeon Lee, Hyunwoo Nam, Junyong Heo +6
Modern deep learning (DL) workloads are limited by data movement, and processing-in-memory (PIM) targets this bottleneck by placing compute units near the memory. However, PyTorch…
cs.DC2022★ 1 cited
Julia Cloud Matrix Machine: Dynamic Matrix Language Acceleration on Multicore Clusters in the Cloud
Jay Hwan Lee, Yeonsoo Kim, Younghyun Ryu +5
In emerging scientific computing environments, matrix computations of increasing size and complexity are increasingly becoming prevalent. However, contemporary matrix language impl…