references.bib

@ArtifactSoftware{CUDA,
	title = {CUDA Toolkit},
	author = {NVIDIA},
	year = {2023},
	url = {https://developer.nvidia.com/cuda-toolkit},
}
@ArtifactSoftware{CUDAFortran,
	title = {CUDA Fortran},
	author = {NVIDIA},
	year = {2023},
	url = {https://developer.nvidia.com/cuda-fortran},
  urldate = {2023-10-26}
}
@ArtifactSoftware{HIP,
	title = {HIP},
	author = {AMD},
	year = {2023},
	url = {https://rocm.docs.amd.com/projects/HIP/en/latest/},
}
@ArtifactSoftware{hipfort,
	title = {hipfort},
	author = {AMD},
	year = {2023},
	url = {https://rocm.docs.amd.com/projects/hipfort/en/latest/},
}
@ArtifactSoftware{intelllvm,
	title = {oneAPI DPC++ Compiler},
	author = {Intel and Contributors},
	year = {2023},
	url = {https://github.com/intel/llvm},
	note = {LLVM-fork with DPC++ support by Intel.}
}
@inproceedings{opensyclproceedings,
  doi = {10.1145/3529538.3530005},
  url = {https://doi.org/10.1145/3529538.3530005},
  year = {2022},
  month = may,
  publisher = {{ACM}},
  author = {Aksel Alpay and B{\'{a}}lint Soproni and Holger W\"{u}nsche and Vincent Heuveline},
  title = {Exploring the possibility of a {hipSYCL}-based implementation of {oneAPI}},
  booktitle = {International Workshop on {OpenCL}}
}
@ArtifactSoftware{khronossycl,
	title = {SYCL},
	author = {Khronos Group},
	year = {2023},
	url = {https://www.khronos.org/sycl/}
}
@ArtifactSoftware{nvhpc,
	title = {NVIDIA HPC SDK},
	author = {NVIDIA},
	year = {2023},
	url = {https://developer.nvidia.com/hpc-sdk}
}
@ArtifactSoftware{gccopenacc,
	title = {GCC OpenACC},
	author = {GCC},
	year = {2023},
	url = {https://gcc.gnu.org/wiki/OpenACC}
}
@INPROCEEDINGS{claccieee,
  author={Denny, Joel E. and Lee, Seyong and Vetter, Jeffrey S.},
  booktitle={2018 IEEE/ACM 5th Workshop on the LLVM Compiler Infrastructure in HPC (LLVM-HPC)}, 
  title={CLACC: Translating OpenACC to OpenMP in Clang}, 
  year={2018},
  volume={},
  number={},
  pages={18-29},
  doi={10.1109/LLVM-HPC.2018.8639349}
}
@INPROCEEDINGS{flaccieee,
  author={Clement, Valentin and Vetter, Jeffrey S.},
  booktitle={2021 IEEE/ACM 7th Workshop on the LLVM Compiler Infrastructure in HPC (LLVM-HPC)}, 
  title={Flacc: Towards OpenACC support for Fortran in the LLVM Ecosystem}, 
  year={2021},
  volume={},
  number={},
  pages={12-19},
  doi={10.1109/LLVMHPC54804.2021.00007}
}
@INPROCEEDINGS{jarmusch22,
  author={Jarmusch, Aaron and Liu, Aaron and Munley, Christian and Horta, Daniel and Ravichandran, Vaidhyanathan and Denny, Joel and Friedline, Kyle and Chandrasekaran, Sunita},
  booktitle={2022 Workshop on Accelerator Programming Using Directives (WACCPD)},
  title={Analysis of Validating and Verifying OpenACC Compilers 3.0 and Above},
  year={2022},
  volume={},
  number={},
  pages={1-10},
  doi={10.1109/WACCPD56842.2022.00006}
}
@ArtifactSoftware{hpepe,
	title = {HPE Cray Programming Environment},
	author = {HPE},
	year = {2023},
	url = {https://www.hpe.com/psnow/doc/a50002303enw}
}
@ArtifactSoftware{clangopenmp,
	title = {Clang OpenMP},
	author = {LLVM/Clang Developers},
	year = {2023},
	url = {https://clang.llvm.org/docs/OpenMPSupport.html}
}
@ArtifactSoftware{gccopenmp,
	title = {GCC OpenMP},
	author = {GCC Developers},
	year = {2023},
	url = {https://gcc.gnu.org/wiki/openmp}
}
@ArtifactSoftware{flang,
	title = {Flang},
	author = {LLVM/Flang},
	year = {2023},
	url = {https://flang.llvm.org/}
}
@article{kokkos,
  author={Trott, Christian R. and Lebrun-Grandié, Damien and Arndt, Daniel and Ciesko, Jan and Dang, Vinh and Ellingwood, Nathan and Gayatri, Rahulkumar and Harvey, Evan and Hollman, Daisy S. and Ibanez, Dan and Liber, Nevin and Madsen, Jonathan and Miles, Jeff and Poliakoff, David and Powell, Amy and Rajamanickam, Sivasankaran and Simberg, Mikael and Sunderland, Dan and Turcksin, Bruno and Wilke, Jeremiah},
  journal={IEEE Transactions on Parallel and Distributed Systems},
  title={Kokkos 3: Programming Model Extensions for the Exascale Era},
  year={2022},
  volume={33},
  number={4},
  pages={805-817},
  doi={10.1109/TPDS.2021.3097283}
}
@inproceedings{alpaka,
  author    = {{Matthes}, A. and {Widera}, R. and {Zenker}, E. and {Worpitz}, B. and
               {Huebl}, A. and {Bussmann}, M.},
  title     = {Tuning and optimization for a variety of many-core architectures without changing a single line of implementation code
               using the Alpaka library},
  archivePrefix = "arXiv",
  eprint    = {1706.10086},
  keywords  = {Computer Science - Distributed, Parallel, and Cluster Computing},
  day       = {30},
  month     = {Jun},
  year      = {2017},
  url       = {https://arxiv.org/abs/1706.10086},
}
@ArtifactSoftware{cunumeric,
	title = {cuNumeric},
	author = {NVIDIA},
	year = {2023},
	url = {https://developer.nvidia.com/cunumeric}
}
@software{numba,
  author       = {Siu Kwan Lam and
                  stuartarchibald and
                  Antoine Pitrou and
                  Mark Florisson and
                  Stan Seibert and
                  Graham Markall and
                  esc and
                  Todd A. Anderson and
                  Guilherme Leobas and
                  rjenc29 and
                  Michael Collison and
                  luk-f-a and
                  Jay Bourque and
                  Aaron Meurer and
                  Kaustubh and
                  Travis E. Oliphant and
                  Nick Riasanovsky and
                  Michael Wang and
                  densmirn and
                  njwhite and
                  Ethan Pronovost and
                  Ehsan Totoni and
                  Eric Wieser and
                  Stefan Seefeld and
                  Hernan Grecco and
                  Andre Masella and
                  Pearu Peterson and
                  Isaac Virshup and
                  Matty G and
                  Itamar Turner-Trauring},
  title        = {numba/numba: Version 0.57.1},
  month        = jun,
  year         = 2023,
  publisher    = {Zenodo},
  version      = {0.57.1},
  doi          = {10.5281/zenodo.8087361},
  url          = {https://doi.org/10.5281/zenodo.8087361}
}
@inproceedings{cupy,
  author       = "Okuta, Ryosuke and Unno, Yuya and Nishino, Daisuke and Hido, Shohei and Loomis, Crissman",
  title        = "CuPy: A NumPy-Compatible Library for NVIDIA GPU Calculations",
  booktitle    = "Proceedings of Workshop on Machine Learning Systems (LearningSys) in The Thirty-first Annual Conference on Neural Information Processing Systems (NIPS)",
  year         = "2017",
  url          = "http://learningsys.org/nips17/assets/papers/paper_16.pdf"
}
@software{pycuda,
  author       = {Kloeckner, Andreas and
                  Wohlgemuth, Gert and
                  Lee, Gregory and
                  Rybak, Tomasz and
                  Nitz, Alex and
                  Chiang, David and
                  Seibert, Stan and
                  Bergtholdt, Martin and
                  Unterthiner, Thomas and
                  Markall, Graham and
                  Kotak, Mit and
                  Favre-Nicolin, Vincent and
                  Opanchuk, Bogdan and
                  Merry, Bruce and
                  Pinto, Nicolas and
                  Milo, Fabrizio and
                  Collignon, Thomas and
                  Rathgeber, Florian and
                  Perkins, Simon and
                  Rutsky, Vladimir and
                  Catanzaro, Bryan and
                  Park, Alex and
                  Witherden, Freddie and
                  E. Givon, Lev and
                  Pfister, Luke and
                  Brubaker, Marcus and
                  ZA, RA and
                  Hausammann, Loic and
                  Gohlke, Christoph},
  title        = {PyCUDA},
  month        = jul,
  year         = 2023,
  publisher    = {Zenodo},
  version      = {v2022.2.2},
  doi          = {10.5281/zenodo.8121901},
  url          = {https://doi.org/10.5281/zenodo.8121901}
}
@ArtifactSoftware{cudapython,
	title = {CUDA Python},
	author = {NVIDIA},
	year = {2023},
	url = {https://nvidia.github.io/cuda-python/index.html}
}
@ArtifactSoftware{gpufort,
	title = {GPUFORT},
	author = {AMD},
	year = {2023},
	url = {https://github.com/ROCmSoftwarePlatform/gpufort}
}
@ArtifactSoftware{aomp,
	title = {AOMP},
	author = {AMD},
	year = {2023},
	url = {https://github.com/ROCm-Developer-Tools/aomp}
}
@ArtifactSoftware{rocstdpar,
	title = {roc-stdpar},
	author = {AMD},
	year = {2023},
	url = {https://github.com/ROCmSoftwarePlatform/roc-stdpar}
}
@ArtifactSoftware{onedpl,
	title = {oneDPL},
	author = {Intel},
	year = {2023},
	url = {https://oneapi-src.github.io/oneDPL/index.html}
}
@ArtifactSoftware{oneapi,
	title = {oneAPI},
	author = {Intel},
	year = {2023},
	url = {https://www.intel.com/content/www/us/en/developer/tools/oneapi/toolkits.html}
}
@ArtifactSoftware{syclomatic,
	title = {SYCLomatic},
	author = {Intel},
	year = {2023},
	url = {https://github.com/oneapi-src/SYCLomatic}
}
@InProceedings{chipstar,
author="Zhao, Jisheng
and Bertoni, Colleen
and Young, Jeffrey
and Harms, Kevin
and Sarkar, Vivek
and Videau, Brice",
editor="Singer, Jeremy
and Elkhatib, Yehia
and Blanco Heras, Dora
and Diehl, Patrick
and Brown, Nick
and Ilic, Aleksandar",
title="HIPLZ: Enabling Performance Portability for Exascale Systems",
booktitle="Euro-Par 2022: Parallel Processing Workshops",
year="2023",
publisher="Springer Nature Switzerland",
address="Cham",
pages="197--210",
abstract="While heterogeneous computing has emerged as a dominant trend in current and future High-Performance Computing (HPC) systems, it is also widely recognized that this shift has led to increased software complexity due to a proliferation of programming systems for different heterogeneous processors. One such example is the Heterogeneous-Computing Interface for Portability from AMD (HIP), which is composed of a C Runtime API and C++ Kernel Language. Many HPC applications will likely use HIP on future exascale systems (e.g., Frontier and El Capitan), but HIP currently only targets AMD and NVIDIA processors. This limitation creates challenges for users who would also like to run their applications on exascale systems based on other architectures (e.g., Aurora, which is based on Intel hardware) that are currently not targeted by HIP.",
isbn="978-3-031-31209-0"
}
@ArtifactSoftware{acc2mp,
	title = {Intel Application Migration Tool for OpenACC to OpenMP API},
	author = {Intel},
	year = {2023},
	url = {https://github.com/intel/intel-application-migration-tool-for-openacc-to-openmp}
}
@ArtifactSoftware{dpctl,
	title = {Data Parallel Control},
	author = {Intel},
	year = {2023},
	url = {https://github.com/IntelPython/dpctl}
}
@ArtifactSoftware{numba-dpex,
	title = {Data-parallel Extension to Numba},
	author = {Intel},
	year = {2023},
	url = {https://github.com/IntelPython/numba-dpex}
}
@ArtifactSoftware{dpnp,
	title = {Data Parallel Extension for Numpy},
	author = {Intel},
	year = {2023},
	url = {https://github.com/IntelPython/dpnp}
}
@misc{ecpopenmpbof,
    author = {ECP Exascale Computing Project},
    title = {OpenMP Roadmap for Accelerators Across DOE Pre-Exascale/Exascale Machines},
    url = {https://www.openmp.org/wp-content/uploads/2022_ECP_Community_BoF_Days-OpenMP_RoadMap_BoF.pdf},
    year = 2022
}