Automatic Construction of Program-Optimized FPGA Memory Networks

Author:

Yang Hsin-Jung1,Fleming Kermin2,Winterstein Felix3,Chen Annie I.1,Adler Michael2,Emer Joel4

Affiliation:

1. Massachusetts Institute of Technology, Cambridge, MA, USA

2. Intel Corporation, Hudson, MA, USA

3. Imperial College London, London, United Kingdom

4. Massachusetts Institute of Technology & NVIDIA, Cambridge, MA, USA

Publisher

ACM

Reference29 articles.

1. Designing Modular Hardware Accelerators in C with ROCCC 2.0

2. High-Level Synthesis for FPGAs: From Prototyping to Deployment

3. LegUp

4. Vivado high-level synthesis. http://www.xilinx.com/products/design-tools/vivado/integration/esl-design.html. Vivado high-level synthesis. http://www.xilinx.com/products/design-tools/vivado/integration/esl-design.html.

5. VirtualRC

Cited by 5 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. FPGA Memory Optimization in High-Level Synthesis;Advances in Systems Analysis, Software Engineering, and High Performance Computing;2020

2. Designing and building application‐centric parallel memories;Concurrency and Computation: Practice and Experience;2019-08-14

3. Building High-Performance, Easy-to-Use Polymorphic Parallel Memories with HLS;VLSI-SoC: Design and Engineering of Electronics Systems Based on New Computing Paradigms;2019

4. Towards Application-Centric Parallel Memories;Lecture Notes in Computer Science;2018-12-31

5. MAX-PolyMem: High-Bandwidth Polymorphic Parallel Memories for DFEs;2018 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW);2018-05

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