| Presentation | 2020-09-11 TAI Compiler: Deep Learning Inference Optimizer for an FPGA Hiroki Nakahara, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | |
| Paper # | RECONF2020-29 |
| Date of Issue | 2020-09-03 (RECONF) |
| Conference Information | |
| Committee | RECONF |
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| Conference Date | 2020/9/10(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Reconfigurable system, etc. |
| Chair | Yuichiro Shibata(Nagasaki Univ.) |
| Vice Chair | Kentaro Sano(RIKEN) / Yoshiki Yamaguchi(Tsukuba Univ.) |
| Secretary | Kentaro Sano(e-trees.Japan) / Yoshiki Yamaguchi(NEC) |
| Assistant | Hiroki Nakahara(Tokyo Inst. of Tech.) / Yukitaka Takemura(INTEL) |
| Paper Information | |
| Registration To | Technical Committee on Reconfigurable Systems |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | TAI Compiler: Deep Learning Inference Optimizer for an FPGA |
| Sub Title (in English) | |
| Keyword(1) | |
| 1st Author's Name | Hiroki Nakahara |
| 1st Author's Affiliation | Tokyo Artisan Intelligence(TAI) |
| Date | 2020-09-11 |
| Paper # | RECONF2020-29 |
| Volume (vol) | vol.120 |
| Number (no) | RECONF-168 |
| Page | pp.pp.60-65(RECONF), |
| #Pages | 6 |
| Date of Issue | 2020-09-03 (RECONF) |