Create 2023-10-24-a-performance-portable-sycl-implementation-of-crk-hacc-for-exascale.md

Adds, "A Performance-Portable SYCL Implementation of CRK-HACC for Exascale"

Author: codeplaymax

content/research_papers/2023/2023-10-24-a-performance-portable-sycl-implementation-of-crk-hacc-for-exascale.md

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+---
+contributor: max
+date: '2023-10-24T08:08:10.490000+00:00'
+title: 'A Performance-Portable SYCL Implementation of CRK-HACC for Exascale'
+external_url: https://arxiv.org/pdf/2310.16122
+authors:
+  - name: Esteban M. Rangel
+  - name: S. John Pennycook
+  - name: Adrian Pope
+  - name: Nicholas Frontiere
+  - name: Zhiqiang Ma
+  - name: Varsha Madananth
+tags:
+  - sycl
+  - hpc
+  - cuda
+  - hip
+  - heterogeneous-programming
+---
+
+The first generation of exascale systems will include a variety of machine architectures, featuring GPUs from multiple vendors.
+As a result, many developers are interested in adopting portable pro- gramming models to avoid maintaining multiple versions of 
+their code. It is necessary to document experiences with such program- ming models to assist developers in understanding the advantages and 
+disadvantages of different approaches.
+To this end, this paper evaluates the performance portability of a SYCL implementation of a large-scale cosmology application (CRK-HACC) 
+running on GPUs from three different vendors: AMD, Intel, and NVIDIA. We detail the process of migrating the original code from CUDA to 
+SYCL and show that specializing kernels for specific targets can greatly improve performance portability with- out significantly impacting 
+programmer productivity. The SYCL version of CRK-HACC achieves a performance portability of 0.96 with a code divergence of almost 0, 
+demonstrating that SYCL is a viable programming model for performance-portable applications.