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SYCL-Bench: A Versatile Cross-Platform Benchmark Suite for Heterogeneous Computing

Sohan Lal, Aksel Alpay, Philip Salzmann, Biagio Cosenza, Alexander Hirsch, Nicolai Stawinoga, Peter Thoman, Thomas Fahringer, Vincent Heuveline
Technical University of Berlin, Germany
International European Conference on Parallel and Distributed Computing (Euro-Par), 2020

@article{lal2020sycl,

   title={SYCL-Bench: A Versatile Cross-Platform Benchmark Suite for Heterogeneous Computing},

   author={Lal, Sohan and Alpay, Aksel and Salzmann, Philip and Cosenza, Biagio and Hirsch, Alexander and Stawinoga, Nicolai and Thoman, Peter and Fahringer, Thomas and Heuveline, Vincent},

   year={2020}

}

The SYCL standard promises to enable high productivity in heterogeneous programming of a broad range of parallel devices, including multicore CPUs, GPUs, and FPGAs. Its modern and expressive C++ API design, as well as flexible task graph execution model give rise to ample optimization opportunities at run-time, such as the overlapping of data transfers and kernel execution. However, it is not clear which of the existing SYCL implementations perform such scheduling optimizations, and to what extent. Furthermore, SYCL’s high level of abstraction may raise concerns about sacrificing performance for ease of use. Benchmarks are required to accurately assess the performance behavior of high-level programming models such as SYCL. To this end, we present SYCL-Bench, a versatile benchmark suite for device characterization and runtime benchmarking, written in SYCL. We experimentally demonstrate the effectiveness of SYCL-Bench by performing device characterization of the NVIDIA TITAN X GPU, and by evaluating the efficiency of the hipSYCL and ComputeCpp SYCL implementations.
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