High-productivity Programming and Optimization Framework for Stream Processing on FPGA-Reference-Cited by-同舟云学术

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High-productivity Programming and Optimization Framework for Stream Processing on FPGA

Published:2018-06-20 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 9th International Symposium on Highly-Efficient Accelerators and Reconfigurable Technologies
language:
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Author:

Lee Jinpil¹,Ueno Tomohiro¹,Sato Mitsuhisa¹,Sano Kentaro¹

Affiliation:

1. RIKEN AICS, Hyogo, Kobe, Japan

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3241793.3241798

Reference10 articles.

1. removed for double-blind peer review. removed for double-blind peer review.

2. CyberWorkBench. http://jpn.nec.com/cyberworkbench/index.html. CyberWorkBench. http://jpn.nec.com/cyberworkbench/index.html.

3. POLLY — PERFORMING POLYHEDRAL OPTIMIZATIONS ON A LOW-LEVEL INTERMEDIATE REPRESENTATION

4. Intel FPGA SDK for OpenCL. https://www.altera.co.jp/products/design-software/embedded-software-developers/opencl/overview.html. Intel FPGA SDK for OpenCL. https://www.altera.co.jp/products/design-software/embedded-software-developers/opencl/overview.html.

5. LLVM Compiler Infrastructure. https://llvm.org. LLVM Compiler Infrastructure. https://llvm.org.

Cited by 1 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. A Productive HLS Simulation Approach for Multi-FPGA Systems;2024 IEEE International Conference on Consumer Electronics (ICCE);2024-01-06

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