ScoR is a benchmark suite comprised of GPU programs that make use of scoped synchronization. The goal is to demonstrate how scoped synchronization can be used in CUDA, and showcase different types of scoped races that can arise. Consequently, code provided may not be the most optimal implementation.
Contains:
- 32 microbenchmarks
- 7 benchmarks
For further details refer to our paper:
- A. K. Kamath, A. A. George, A. Basu. ScoRD: A Scoped Race Detector for GPUs. In Proceedings of 47th IEEE/ACM International Symposium on Computer Architecture (ISCA), 2020. [Paper] [Video] [Bibtex]
This code was compiled using CUDA 8.0 with the compute_60 flag set, and tested using GPGPU-Sim.
Makefiles have been included in each subfolder, which should be edited to fit your requirements.
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NOTE: The files contained in benchmarks/reduction/ are derived from CUDA Code Samples. As such, this file is bound by the corresponding legal terms and conditions set forth separately (contained in NVIDIA_EULA.txt in benchmarks/reduction/ folder).