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chipStar enables compiling and running HIP and CUDA applications on platforms which support
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SPIR-V as the device intermediate representation. It supports
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OpenCL and Level Zero as the low-level runtime alternatives.
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*If there is a library that you need that is not yet supported, please open an issue stating which libraries you require and what application you are trying to build.*
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## Applications
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chipStar has so far been tested using the following applications:
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-[libCEED](https://github.com/CHIP-SPV/libCEED) Our fork includes some workarounds.
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-[GAMESS](https://www.msg.chem.iastate.edu/gamess/) Source code is not public.
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-[HcBench](https://github.com/zjin-lcf/HeCBench) CUDA Benchmarks.
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## Getting Started
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Quickest way to get started is by using a prebuilt Docker container. Please refer to [Docker README](docker/docker.md)
parser.add_argument('--regex-include', type=str, nargs='?', default="", help='Tests to be run must also match this regex (known failures will still be excluded)')
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parser.add_argument('--regex-exclude', type=str, nargs='?', default="", help='Specifically exclude tests that match this regex (known failures will still be excluded)')
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parser.add_argument('--test-mode-failures', type=str, choices=['exclude', 'include'], default='exclude', help='Control how to handle test failures: exclude (default) or include')
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