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Technical Committee on Reconfigurable Systems (RECONF) (Searched in: 2020)
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Search Results: Keywords 'from:2020-09-10 to:2020-09-10'
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[Go to Official RECONF Homepage (Japanese)] |
Search Results: Conference Papers |
Conference Papers (Available on Advance Programs) (Sort by: Date Ascending) |
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Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
RECONF |
2020-09-10 13:30 |
Online |
Online |
With GPU-FPGA Heterogeneous computing, Highly Effective Communication for Distributed Deep Learning Kenji Tanaka, Yuki Arikawa, Tsuyoshi Ito, Kazutaka Morita, Naru Nemoto, Fumiaki Miura, Kazuhiko Terada, Junji Teramoto, Takashi Sakamoto (NTT) RECONF2020-19 |
In distributed deep learning (DL), collective communication (Allreduce) used to share training results between GPUs is a... [more] |
RECONF2020-19 pp.1-6 |
RECONF |
2020-09-10 13:55 |
Online |
Online |
RECONF2020-20 |
(To be available after the conference date) [more] |
RECONF2020-20 pp.7-12 |
RECONF |
2020-09-10 14:20 |
Online |
Online |
Development of Multi-tenant Resource Management for Multi-FPGA Cloud Systems Miho Yamakura (Keio Univ./AIST), Ryousei Takano, Akram Ben Ahmed (AIST), Hideharu Amano (Keio Univ.) RECONF2020-21 |
(To be available after the conference date) [more] |
RECONF2020-21 pp.13-18 |
RECONF |
2020-09-10 15:00 |
Online |
Online |
[Invited Talk]
Introduction of oneAPI and Current status of Intel FPGA Technolgies Yukitake Takemura (Intel) |
[more] |
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RECONF |
2020-09-10 16:05 |
Online |
Online |
RECONF2020-22 |
(To be available after the conference date) [more] |
RECONF2020-22 pp.19-24 |
RECONF |
2020-09-10 16:30 |
Online |
Online |
An implementation of an object detection algorhythm on Vitis AI and Winning a prize in the 2nd AI Edge Katsunoshin Matsui, Hiromu Miyazaki, Kazuki Nakano, Kenji Kise (Tokyo Tech) RECONF2020-23 |
(To be available after the conference date) [more] |
RECONF2020-23 pp.25-29 |
RECONF |
2020-09-11 10:00 |
Online |
Online |
RECONF2020-24 |
Due to the advantages of multiple FPGAs as accelerators for High Performance Computing, AiS is receiving increased atten... [more] |
RECONF2020-24 pp.30-35 |
RECONF |
2020-09-11 10:25 |
Online |
Online |
RECONF2020-25 |
[more] |
RECONF2020-25 pp.36-41 |
RECONF |
2020-09-11 13:00 |
Online |
Online |
[Invited Talk]
Applications and Technology Innovations for an FPGA
-- Current Technologies and its Future Prospects -- Yoshihiro Horie (Xilinx) |
[more] |
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RECONF |
2020-09-11 14:30 |
Online |
Online |
RECONF2020-26 |
(To be available after the conference date) [more] |
RECONF2020-26 pp.42-47 |
RECONF |
2020-09-11 14:55 |
Online |
Online |
An FPGA-Based Low-Latency Accelerator for Randomly Wired Convolutional Neural Networks Ryosuke Kuramochi, Hiroki Nakahara (Tokyo Tech) RECONF2020-27 |
Convolutional neural networks(CNNs) are widely used for image tasks in both embedded systems and data centers. Particula... [more] |
RECONF2020-27 pp.48-53 |
RECONF |
2020-09-11 15:35 |
Online |
Online |
Inductive Invariant Generation Based on Binary Decision Diagram and its Application to Logic Synthesis Liu ZiHao, Miyasaka Yukio, Fujita Masahiro (UT) RECONF2020-28 |
In this paper, we mainly focus on inductive invariant generation using binary decision diagram (BDD), and its applicatio... [more] |
RECONF2020-28 pp.54-59 |
RECONF |
2020-09-11 16:00 |
Online |
Online |
TAI Compiler: Deep Learning Inference Optimizer for an FPGA Hiroki Nakahara (TAI) RECONF2020-29 |
[more] |
RECONF2020-29 pp.60-65 |
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