Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Jun Shiomi"'
Publikováno v:
IEEE Open Journal of Circuits and Systems, Vol 5, Pp 211-223 (2024)
Hyper-Dimensional (HD) computing is a brain-inspired learning approach for efficient and fast learning on today’s embedded devices. HDC first encodes all data points to high-dimensional vectors called hypervectors and then efficiently performs the
Externí odkaz:
https://doaj.org/article/91f45b301e794ddc964ba2a1d0a40a62
MOSDA: On-Chip Memory Optimized Sparse Deep Neural Network Accelerator With Efficient Index Matching
Publikováno v:
IEEE Open Journal of Circuits and Systems, Vol 2, Pp 144-155 (2021)
The irregular data access pattern caused by sparsity brings great challenges to efficient processing accelerators. Focusing on the index-matching property in DNN, this article aims to decompose sparse DNN processing into easy-to-handle processing tas
Externí odkaz:
https://doaj.org/article/e886f2c82ddf4af7a04efbcaecd3fa99
Publikováno v:
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences. :542-550
Publikováno v:
IEICE Transactions on Information and Systems. :1273-1282
Publikováno v:
2023 IEEE International Solid- State Circuits Conference (ISSCC).
Publikováno v:
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences. (3):518-529
In the upcoming Internet of Things era, reducing energy consumption of embedded processors is highly desired. Minimum Energy Point Tracking (MEPT) is one of the most efficient methods to reduce both dynamic and static energy consumption of a processo
Publikováno v:
Proceedings of the 28th Asia and South Pacific Design Automation Conference.
Publikováno v:
IEICE Transactions on Electronics.
Publikováno v:
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences. :1546-1554
Publikováno v:
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences. :1566-1576