Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
RECONF |
2019-05-09 12:35 |
Tokyo |
Tokyo Tech Front |
Efficient Instruction Fetch Architectures for a RISC-V Soft Processor Hiromu Miyazaki, Junya Miura, Kenji Kise (Tokyo Tech) RECONF2019-1 |
We aim to develop a cost-effective RISC-V scalar processor of pipelining for FPGAs. In this report, we try to implement ... [more] |
RECONF2019-1 pp.1-6 |
RECONF |
2019-05-09 13:00 |
Tokyo |
Tokyo Tech Front |
RECONF2019-2 |
(To be available after the conference date) [more] |
RECONF2019-2 pp.7-10 |
RECONF |
2019-05-09 13:25 |
Tokyo |
Tokyo Tech Front |
RECONF2019-3 |
(To be available after the conference date) [more] |
RECONF2019-3 pp.11-16 |
RECONF |
2019-05-09 14:10 |
Tokyo |
Tokyo Tech Front |
Study of new stacked type logic circuit scheme with fabrication technology of 3D flash memory. Fumiya Suzuki, Shigeyoshi Watanabe (Shonan Inst. of Tech.) RECONF2019-4 |
[more] |
RECONF2019-4 pp.17-21 |
RECONF |
2019-05-09 14:35 |
Tokyo |
Tokyo Tech Front |
RECONF2019-5 |
(To be available after the conference date) [more] |
RECONF2019-5 pp.23-27 |
RECONF |
2019-05-09 15:20 |
Tokyo |
Tokyo Tech Front |
High Level Synthesis of Recursive Description in a CPU+FPGA Co-design framework based on Ruby Ryota Yamashita, Daichi Teruya, Hironori Nakajo (TUAT) RECONF2019-6 |
(To be available after the conference date) [more] |
RECONF2019-6 pp.29-34 |
RECONF |
2019-05-09 15:45 |
Tokyo |
Tokyo Tech Front |
Hideki Takase (Kyoto Univ./JST), Kentaro Matsui (Kyoto Univ.), Yoshihiro Ueno (Delight Systems), Masakazu Mori (karabiner.inc), Susumu Yamazaki (Univ. of Kitakyushu) RECONF2019-7 |
(To be available after the conference date) [more] |
RECONF2019-7 pp.35-40 |
RECONF |
2019-05-09 16:10 |
Tokyo |
Tokyo Tech Front |
A CNN-based Classifier for a Digital Spectrometer on a Radio Telescope Hiroki Nakahara, Shimpei Sato (Titech) RECONF2019-19 |
[more] |
RECONF2019-19 pp.103-108 |
RECONF |
2019-05-09 16:35 |
Tokyo |
Tokyo Tech Front |
A case study of an FPGA implementation for streaming data filtering Hiroki Nakagawa, Yasutaka TsuTsumi, Morihiro Kuga, Motoki Amagasaki, Masahiro Iida, Toshinori Sueyoshi (Kumamoto Univ.) RECONF2019-8 |
With the spread of IoT (Internet of Things) equipment in recent years, collection of big data becomes easy, and the dema... [more] |
RECONF2019-8 pp.41-46 |
RECONF |
2019-05-09 17:20 |
Tokyo |
Tokyo Tech Front |
[Invited Talk]
Engineers' and Scientists' Way of Life Kazuyuki Shudo (Tokyo Tech) RECONF2019-9 |
(To be available after the conference date) [more] |
RECONF2019-9 p.47 |
RECONF |
2019-05-10 10:00 |
Tokyo |
Tokyo Tech Front |
An FPGA Implementation of the Semantic Segmentation Model with Multi-path Structure Youki Sada, Masayuki Shimoda, Shimpei Sato, Hiroki Nakahara (titech) RECONF2019-10 |
Since the convolutional neural network has a high-performance recognition accuracy,
it is expected to implement variou... [more] |
RECONF2019-10 pp.49-54 |
RECONF |
2019-05-10 10:25 |
Tokyo |
Tokyo Tech Front |
RECONF2019-11 |
[more] |
RECONF2019-11 pp.55-60 |
RECONF |
2019-05-10 10:50 |
Tokyo |
Tokyo Tech Front |
Tsunami Simulation on FPGA by Exploiting Temporal Parallelism using OpenCL Fumiya Kono (Kobe Univ.), Naohito Nakasato (UoA) RECONF2019-12 |
[more] |
RECONF2019-12 pp.61-66 |
RECONF |
2019-05-10 11:15 |
Tokyo |
Tokyo Tech Front |
A case study of system development based on software hardware co-design using an FPGA/CPU mixed SoC
-- Implementation of the Julia set explorer using Ultra96 -- Kenta Sato, Yukinori Sato (TUT) RECONF2019-13 |
(To be available after the conference date) [more] |
RECONF2019-13 pp.67-72 |
RECONF |
2019-05-10 13:30 |
Tokyo |
Tokyo Tech Front |
RECONF2019-14 |
(To be available after the conference date) [more] |
RECONF2019-14 pp.73-78 |
RECONF |
2019-05-10 13:55 |
Tokyo |
Tokyo Tech Front |
Deep Learning Framework with Numerical Precision Masato Kiyama, Motoki Amagasaki, Masahiro Iida (Kumamoto Univ.) RECONF2019-15 |
[more] |
RECONF2019-15 pp.79-84 |
RECONF |
2019-05-10 14:20 |
Tokyo |
Tokyo Tech Front |
RECONF2019-18 |
(To be available after the conference date) [more] |
RECONF2019-18 pp.97-102 |
RECONF |
2019-05-10 15:05 |
Tokyo |
Tokyo Tech Front |
RECONF2019-17 |
(To be available after the conference date) [more] |
RECONF2019-17 pp.91-96 |
RECONF |
2019-05-10 15:30 |
Tokyo |
Tokyo Tech Front |
Spatial-Separable Convolution: Low memory CNN for FPGA Akira Jinguji, Masayuki Shimoda, Hiroki Nakahara (titech) RECONF2019-16 |
Object detection and image recognition using a Convolutional Neural Network (CNN) are used in em- bedded systems, which ... [more] |
RECONF2019-16 pp.85-90 |