The International Conference for High Performance Computing, Networking, Storage, and Analysis
The International Conference for High Performance Computing, Networking, Storage, and Analysis
Workshop: IA^3 2025 — 15th Workshop on Irregular Applications: Architectures and Algorithms
Authors: Avery VanAusdal and Martin Burtscher (Texas State University)
Abstract: Graph algorithms are important for many domains, and GPUs can be used to accelerate them. Unfortunately, CUDA code can only be run on NVIDIA GPUs. In this study, we port the CUDA graph codes from the Indigo3 benchmark suite to HIP. This enables them to run on both AMD and NVIDIA GPUs. In addition, it allows the study of performance differences between compiled CUDA and HIP codes that are otherwise identical. Since the Indigo3 codes are written in a variety of different implementation and parallelization styles, this also allows us to study the performance of AMD GPUs on these styles and compare the results with the NVIDIA-based style trends.
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