A comparative analysis of Kokkos and SYCL as heterogeneous, parallel programming models for C++ applications-Reference-Cited by-同舟云学术

A comparative analysis of Kokkos and SYCL as heterogeneous, parallel programming models for C++ applications

Published:2019-05-13 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the International Workshop on OpenCL
language:
Short-container-title:

Author:

Hammond Jeff R.¹,Kinsner Michael²,Brodman James³

Affiliation:

1. Intel Corporation, Hillsboro, Oregon

2. Intel Corporation, Toronto, Ontario

3. Intel Corporation, Hudson, Massachusetts

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3318170.3318193

Reference21 articles.

1. {n. d.}. Projects. http://sycl.tech/#projects {n. d.}. Projects. http://sycl.tech/#projects

2. 2019. Parallel Research Kernels. https://github.com/ParRes/Kernels 2019. Parallel Research Kernels. https://github.com/ParRes/Kernels

3. Aksel Alpay. {n.d.}. hipSYCL. https://github.com/illuhad/hipSYCL Aksel Alpay. {n.d.}. hipSYCL. https://github.com/illuhad/hipSYCL

4. Alexey Bader. {n. d.}. {RFC} Add SYCL programming model support. https://lists.llvm.org/pipermail/cfe-dev/2019-January/060811.html Alexey Bader. {n. d.}. {RFC} Add SYCL programming model support. https://lists.llvm.org/pipermail/cfe-dev/2019-January/060811.html

5. Brook for GPUs

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Exploring Scalability in C++ Parallel STL Implementations;Proceedings of the 53rd International Conference on Parallel Processing;2024-08-12

2. Experiences with implementing Kokkos’ SYCL backend;Proceedings of the 12th International Workshop on OpenCL and SYCL;2024-04-08

3. From Merging Frameworks to Merging Stars: Experiences using HPX, Kokkos and SIMD Types;2022 IEEE/ACM 7th International Workshop on Extreme Scale Programming Models and Middleware (ESPM2);2022-11

4. On the Compilation Performance of Current SYCL Implementations;International Workshop on OpenCL;2022-05-10

5. Kokkos 3: Programming Model Extensions for the Exascale Era;IEEE Transactions on Parallel and Distributed Systems;2022-04-01