{"id":59,"date":"2018-08-13T23:02:27","date_gmt":"2018-08-13T23:02:27","guid":{"rendered":"https:\/\/www.fccmtest.club\/?page_id=59"},"modified":"2023-10-24T21:57:59","modified_gmt":"2023-10-24T21:57:59","slug":"home","status":"publish","type":"page","link":"https:\/\/www.wp.fccm.org\/","title":{"rendered":"FCCM Main Page"},"content":{"rendered":"\n

Marina del Rey Marriott<\/strong>
4100 Admiralty Way, Marina Del Rey, CA 90292<\/p>\n\n\n

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The IEEE Symposium on Field-Programmable Custom Computing Machines is the original and premier forum for presenting and discussing new research related to computing that exploits the unique features and capabilities of FPGAs and other reconfigurable hardware. Over the past two decades, FCCM has been the place to present papers on architectures, tools, and programming models for field-programmable custom computing machines as well as applications that use such systems.<\/p>\n\n\n\n

\u2605<\/mark><\/mark><\/strong> Best Paper Award<\/mark><\/strong> \u2605<\/mark><\/h1>\n\n\n\n

A Machine Learning Approach for Predicting the Difficulty of FPGA Routing Problems<\/strong>
Andrew David Gunter and Steven Wilton (University of British Columbia)<\/p>\n\n\n\n

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\u2605<\/mark><\/mark><\/strong> Best Paper Award<\/mark><\/strong> Runner-up<\/mark><\/strong> \u2605<\/mark><\/h1>\n\n\n\n

LightningSim: Fast and Accurate Trace-Based Simulation for High-Level Synthesis<\/strong>
Rishov Sarkar and Cong “Callie” Hao (Georgia Institute of Technology)<\/p>\n\n\n\n

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\u2605 FPGA Hall of Fame Honoree<\/strong> \u2605<\/mark><\/h1>\n\n\n\n

Dr. Prasanna Sundararajan<\/strong>, Microsoft Azure<\/p>\n\n\n\n

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News<\/strong><\/h2>\n\n\n\n