Workshops Archive

Evaluating Nonuniform Reduction in HIP and SYCL on GPUs

Workshop: The 8th International Workshop on Data Analysis and Reduction for Big Scientific Data (DRBSD-8) in Conjunction with SC22

Authors: Zheming Jin (Oak Ridge National Laboratory (ORNL)) and Jeffrey Vetter (IEEE Computer Society)

Abstract: Motivated by maturing programming models and portability for heterogeneous computing, we describe the challenges posed by hardware architectures and programming models when migrating an optimized implementation of nonuniform reduction from CUDA to HIP and SYCL. We explain the migration experience, evaluate the performance of the reduction on GPU-based computing platforms, and provide feedback on improving portability for the development of the SYCL programming model.

Back to The 8th International Workshop on Data Analysis and Reduction for Big Scientific Data (DRBSD-8) in Conjunction with SC22 Archive Listing

Back to Full Workshop Archive Listing