Building a Portable, Scalable, Performant ZFP Backend Using oneAPI and SYCL to Advance Exascale Computing: A Developer Perspective
ZFP is a leading software for lossless and error-controlled lossy compression of floating-point data that is vital in high-performance computing. It is one of the software technologies explicitly selected by the DOE Exascale Computing Project (ECP) since its inception in 2016 because of its numerous science and engineering applications and users. This project aims to develop a portable, scalable, and performant ZFP backend to Intel’s oneAPI implementation of SYCL that runs on Intel XPUs.
In this presentation, we document how we employed the Intel® DPC++ Compatibility Tool (DPCT) to transform the existing CUDA implementation of the zfp library into SYCL. While the conversion process proceeded smoothly with minimal issues, some manual intervention was required to ensure successful compilation, such as adjustments to the CMakeLists file and the resolution of namespace and other minor bugs. To address logical errors, we used oneAPI-gdb, yet we still think the tool can be improved.
Speaker(s)
Alper Sahistan - University of Utah SCI Institute/PhD student
Alper Sahistan is a PhD student at the Scientific Computing and Imaging (SCI) Institute, part of the University of Utah School of Computing. His research primarily centers around ray-tracing, volume-rendering, visualization, and computer graphics, with additional interests in High-Performance Computing (HPC) and computational geometry. His current research involves compression of large geometric data for data parallel visualization
He is supervised by Professor Valerio Pascucci, and he holds a Bachelor of Science (BS) and Master of Science (MS) degrees from Bilkent University’s Computer Engineering Department.
