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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 6 of 6  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
RECONF, VLD, CPSY, IPSJ-ARC, IPSJ-SLDM [detail] 2022-01-24
15:55		 Online Online Accelerating Deep Neural Networks on Edge Devices by Knowledge Distillation and Layer Pruning
Yuki Ichikawa, Akira Jinguji, Ryosuke Kuramochi, Hiroki Nakahara (Titech) VLD2021-58 CPSY2021-27 RECONF2021-66		 A deep neural network (DNN) is computationally expensive, making it challenging to run DNN on edge devices. Therefore, m... [more] VLD2021-58 CPSY2021-27 RECONF2021-66
pp.49-54
VLD, DC, RECONF, ICD, IPSJ-SLDM
(Joint) [detail]		 2021-12-01
10:10		 Online Online A Multilayer Perceptron Training Accelerator using Systolic Array
Takeshi Senoo, Akira Jinguji, Ryosuke Kuramochi, Hiroki Nakahara (Toyko Tech) VLD2021-23 ICD2021-33 DC2021-29 RECONF2021-31		 Neural networks are being used in various applications, and the demand for fast training with large amounts of data is e... [more] VLD2021-23 ICD2021-33 DC2021-29 RECONF2021-31
pp.37-42
RECONF 2021-09-10
09:30		 Online Online A Low-Latency Inference of Randomly Wired Convolutional Neural Networks on an FPGA
Ryosuke Kuramochi, Hiroki Nakahara (Tokyo Tech) RECONF2021-17		 Convolutional neural networks (CNNs) are widely used for image processing tasks in both embedded systems and data center... [more] RECONF2021-17
pp.1-6
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
IPSJ-SLDM, RECONF, VLD, CPSY, IPSJ-ARC [detail] 2020-01-22
17:20		 Kanagawa Raiosha, Hiyoshi Campus, Keio University Many Universal Convolution Cores for Ensemble Sparse Convolutional Neural Networks
Ryosuke Kuramochi, Youki Sada, Masayuki Shimoda, Shimpei Sato, Hiroki Nakahara (Titech) VLD2019-65 CPSY2019-63 RECONF2019-55		 A convolutional neural network (CNN) is one of the most successful neural networks and widely used for computer vision t... [more] VLD2019-65 CPSY2019-63 RECONF2019-55
pp.67-72
RECONF 2019-09-20
11:40		 Fukuoka KITAKYUSHU Convention Center Accurate Pedestrian Detection in Thermal Images for FPGA
Ryosuke Kuramochi, Masayuki Shimoda, Youki Sada, Shimpei Sato, Hiroki Nakahara (titech) RECONF2019-26		 Since thermal cameras can detect the heat of objects, they can be used even if there is no light.
Therefore, object de... [more]		 RECONF2019-26
pp.31-36
 Results 1 - 6 of 6  /   
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