FPGA Acceleration of Structured-Mesh-Based Explicit and Implicit Numerical Solvers using SYCL-Reference-Cited by-同舟云学术

FPGA Acceleration of Structured-Mesh-Based Explicit and Implicit Numerical Solvers using SYCL

Published:2022-05-10 Issue: Volume: Page:
ISSN:
Container-title:International Workshop on OpenCL
language:
Short-container-title:

Author:

Kamalakkannan Kamalavasan¹,Mudalige Gihan R.¹,Reguly Istvan Z.²,Fahmy Suhaib A.³

Affiliation:

1. University of Warwick, United Kingdom

2. Pázmány Péter Catholic University, Hungary

3. King Abdullah University of Science and Technology, Saudi Arabia

Funder

Royal Society

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3529538.3530007

Reference42 articles.

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2. 2020. Tridsolver Library. https://github.com/OP-DSL/tridsolver. 2020. Tridsolver Library. https://github.com/OP-DSL/tridsolver.

3. 2020. Vitis Quantitative Finance Library V.2020.2. https://xilinx.github.io/Vitis_Libraries/quantitative_finance/2020.2/. 2020. Vitis Quantitative Finance Library V.2020.2. https://xilinx.github.io/Vitis_Libraries/quantitative_finance/2020.2/.

4. 2022. High-Level FPGA accelerator design for structured-mesh-based explicit numerical solvers - GitHub Code Repository. https://github.com/Kamalavasan/StencilsOnFPGA. 2022. High-Level FPGA accelerator design for structured-mesh-based explicit numerical solvers - GitHub Code Repository. https://github.com/Kamalavasan/StencilsOnFPGA.

5. 2022. High Throughput Multidimensional Tridiagonal System Solvers on FPGAs - GitHub Code Repository. https://github.com/Kamalavasan/Tridsolver-FPGA. 2022. High Throughput Multidimensional Tridiagonal System Solvers on FPGAs - GitHub Code Repository. https://github.com/Kamalavasan/Tridsolver-FPGA.