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ALP/GraphBLAS
Copyright 2021 Huawei Technologies Co., Ltd.
This project is maintained by the Computing Systems Laboratory, Huawei Zurich
Research Center, Switzerland. This distribution is licensed under the terms and
conditions of the Apache 2.0 license; see the LICENSE file for more details.
The following is a list of contributors to ALP/GraphBLAS. At the time the
contributions were made, all below contributors were employed by or outsourced
to Huawei Technologies Co., Ltd. or one of its subsidiaries:
- A. N. Yzelman, Huawei Technologies France SASU; 2016-2020.
Huawei Technologies Switzerland AG; 2020-current.
- Jonathan M. Nash, Huawei Technologies France SASU; 2017.
- Daniel Di Nardo, Huawei Technologies France SASU; 2017.
- Antoine Petitet, Huawei Technologies France SASU; 2017.
- Aristeidis Mastoras, Huawei Technologies Switzerland AG; 2020-current.
- Alberto Scolari, Huawei Technologies Switzerland AG; 2021-2025.
- Verner Vlacic, Huawei Technologies Switzerland AG; 2021-current.
- Dan Iorga, Huawei Technologies Switzerland AG; 2021.
- Auke Booij, Huawei Technologies Switzerland AG; 2021.
- Anders Hansson, Huawei Technologies Switzerland AG; 2022-2023.
- Denis Jelovina, Huawei Technologies Switzerland AG; 2022-current.
- Benjamin Lozes, Huawei Technologies Switzerland AG; 2023-2024.
- Aleksa Milisavljevic, Huawei Technologies Switzerland AG; 2023-2024.
- Christos Konstantinos Matzoros, Huawei Technologies Switzerland AG; 2024-current.
- Giovanni Gaio, Huawei Technologies Switzerland AG; 2025-current.
The experimental banshee backend has been developed in collaboration with
Prof. Luca Benini at ETH Zuerich and his group. In particular this backend
is with great thanks due to Dan, Paul Scheffler, Fabian Schuiki, and Samuel
Riedel.
The distributed-memory 1D backend additionally would not have been possible
without Wijnand J. Suijlen (Huawei Technologies France SASU) whom we'd like
to acknowledge specially. His feedback and the joint work on the Lightweight
Parallel Foundations (LPF) communication layer has helped shape our API's
support for distributed-memory parallelism.
We also acknowledge our lab director, Bill McColl, for his keen insights
and support this project has, and indeed continues to, benefit from.