3 papers
cs.DC2026
A New Lens on Multi-GPU Communication: API-Level Memory Models for Portable Optimization
Johnathan Alsop, Bradford Beckmann, Brandon Potter +5
As network communication increasingly becomes a performance bottleneck for ML and HPC workloads, it is more important than ever to optimize multi-GPU data transfers. Recently, low-…
cs.DC2026
Toward a Unified GPU-Aware OpenSHMEM Specification
Naveen Ravi, Nathan Wichmann, Md. Wasi-ur- Rahman +19
Leadership-class HPC systems are now accelerator-centric, with GPUs providing most floating-point throughput and memory bandwidth. As next-generation systems increasingly integrate…
cs.DC2025
Iris: First-Class Multi-GPU Programming Experience in Triton
Muhammad Awad, Muhammad Osama, Brandon Potter
Multi-GPU programming traditionally requires developers to navigate complex trade-offs between performance and programmability. High-performance implementations typically rely on l…