HLSDataset: Open-Source Dataset for ML-Assisted FPGA Design using High Level Synthesis
Author:
Affiliation:
1. The University of Texas at Austin,The Laboratory for Computer Architecture,Department of Electrical and Computer Engineering,Austin,United States
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10265289/10265693/10265706.pdf?arnumber=10265706
Reference15 articles.
1. Spector: An OpenCL FPGA benchmark suite
2. MLSBench: A Benchmark Set for Machine Learning based FPGA HLS Design Flows
3. OverGen: Improving FPGA Usability through Domain-specific Overlay Generation
4. S2CBench: Synthesizable SystemC Benchmark Suite for High-Level Synthesis
5. CircuitNet: an open-source dataset for machine learning applications in electronic design automation (EDA)
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1. HLSFactory: A Framework Empowering High-Level Synthesis Datasets for Machine Learning and Beyond;Proceedings of the 2024 ACM/IEEE International Symposium on Machine Learning for CAD;2024-09-09
2. A High-Performance and Ultra-Low-Power Accelerator Design for Advanced Deep Learning Algorithms on an FPGA;Electronics;2024-07-08
3. Skip the Benchmark: Generating System-Level High-Level Synthesis Data using Generative Machine Learning;Proceedings of the Great Lakes Symposium on VLSI 2024;2024-06-12
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