Koios 2.0: Open-Source Deep Learning Benchmarks for FPGA Architecture and CAD Research

With the prevalence of deep learning (DL) in many applications, researchers are investigating different ways of optimizing FPGA architecture and CAD to achieve better quality-of-results (QoR) on DL-based workloads. In this optimization process, benchmark circuits are an essential component; the QoR...

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Veröffentlicht in:	IEEE transactions on computer-aided design of integrated circuits and systems 2023-11, Vol.42 (11), p.1-1
Hauptverfasser:	Arora, Aman, Boutros, Andrew, Damghani, Seyed Alireza, Mathur, Karan, Mohanty, Vedant, Anand, Tanmay, Elgammal, Mohamed A., Kent, Kenneth B., Betz, Vaughn, John, Lizy K.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Architecture Benchmark testing Benchmarks Circuit design Deep Learning Field programmable gate arrays FPGA Hardware design languages Integrated circuit modeling Koios Machine learning Neural networks Open source software Optimization Routing Solid modeling Titan VTR Workload Workloads
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