3 citations · 3 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★ 3 cited
Cloudprofiler: TSC-based inter-node profiling and high-throughput data ingestion for cloud streaming workloads
Shinhyung Yang, Jiun Jeong, Bernhard Scholz +1
To conduct real-time analytics computations, big data stream processing engines are required to process unbounded data streams at millions of events per second. However, current st…