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Committee Date Time Place Paper Title / Authors Abstract Paper #
HWS, VLD [detail] 2021-03-03
10:00		 Online Online Energy Efficient Approximate Storing to MRAM for Deep Neural Network Tasks in Edge Computing
Yoshinori Ono, Kimiyoshi Usami (SIT) VLD2020-67 HWS2020-42		 On-chip learning is gaining attention in edge devices. In addition, a magnetic RAM (MRAM) is a promising memory technolo... [more] VLD2020-67 HWS2020-42
pp.1-6
VLD, DC, RECONF, ICD, IPSJ-SLDM
(Joint) [detail]		 2020-11-18
14:25		 Online Online Energy Efficient Approximate Storing of Image Data for Non-volatile Memory
Yoshinori Ono, Kimiyoshi Usami (SIT) VLD2020-38 ICD2020-58 DC2020-58 RECONF2020-57		 A non-volatile memory (NVM) employing MTJ has a lot of strong points. However, it consumes a lot of energy when writing ... [more] VLD2020-38 ICD2020-58 DC2020-58 RECONF2020-57
pp.145-150
VLD, IPSJ-SLDM 2019-05-15
14:20		 Tokyo Ookayama Campus, Tokyo Institute of Technology Approximate Computing Technique Using Memoization and Simplified Multiplication
Yoshinori Ono, Kimiyoshi Usami (SIT) VLD2019-2		 In embedded systems, approximate computing can strongly promote reduction of execution time and energy consumption in ex... [more] VLD2019-2
pp.13-18
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