2 papers
cs.DC2025
MT4G: A Tool for Reliable Auto-Discovery of NVIDIA and AMD GPU Compute and Memory Topologies
Stepan Vanecek, Manuel Walter Mussbacher, Dominik Groessler +2
Understanding GPU topology is essential for performance-related tasks in HPC or AI. Yet, unlike for CPUs with tools like hwloc, GPU information is hard to come by, incomplete, and…
cs.DC2024
Hierarchical Resource Partitioning on Modern GPUs: A Reinforcement Learning Approach
Urvij Saroliya, Eishi Arima, Dai Liu +1
GPU-based heterogeneous architectures are now commonly used in HPC clusters. Due to their architectural simplicity specialized for data-level parallelism, GPUs can offer much highe…