Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Tae Jun Ham"'
Autor:
Deok-Jae Oh, Yaebin Moon, Do Kyu Ham, Tae Jun Ham, Yongjun Park, Jae W. Lee, Jung Ho Ahn, Eojin Lee
Publikováno v:
ACM Transactions on Embedded Computing Systems. 22:1-28
Hardware performance monitoring units (PMUs) are a standard feature in modern microprocessors, providing a rich set of microarchitectural event samplers. Recently, numerous profile-guided optimization (PGO) frameworks have exploited them to feature m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2325dee96325d590c5f53fe8da84eea5
https://doi.org/10.1145/3527853
https://doi.org/10.1145/3527853
Publikováno v:
IEICE Transactions on Information and Systems. :427-431
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5e201fdce37d4ad0ac2301c400be8ccc
https://doi.org/10.1587/transinf.2021edl8084
https://doi.org/10.1587/transinf.2021edl8084
Publikováno v:
IEEE Transactions on Computers. :1-13
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::88314738ed251c0fb33256feb7bee9df
https://doi.org/10.1109/tc.2022.3209920
https://doi.org/10.1109/tc.2022.3209920
Autor:
Krste Asanovic, Tae Jun Ham, Brendan Sweeney, Seong Hoon Seo, Jae W. Lee, David Bruns-Smith, U Gyeong Song, Yejin Lee, Young H. Oh, Lisa Wu Wills
Publikováno v:
IEEE Micro. 41:42-49
This article presents a framework, Genesis (genome analysis), to efficiently and flexibly accelerate generic data manipulation operations that have become performance bottlenecks in the genomic data processing pipeline utilizing FPGAs-as-a-service. G
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f2609ebf2c11f4de7233b6488ef54b5d
https://doi.org/10.1109/mm.2021.3072385
https://doi.org/10.1109/mm.2021.3072385
Autor:
Michael Jaemin Kim, Jaehyun Park, Yeonhong Park, Wanju Doh, Namhoon Kim, Tae Jun Ham, Jae W. Lee, Jung Ho Ahn
Publikováno v:
2022 IEEE International Symposium on High-Performance Computer Architecture (HPCA).
Since its public introduction in the mid-2010s, the Row Hammer (RH) phenomenon has drawn significant attention from the research community due to its security implications. Although many RH-protection schemes have been proposed by processor vendors,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::233ed5442534812b3eaa489e83d5b478
https://doi.org/10.1109/hpca53966.2022.00088
https://doi.org/10.1109/hpca53966.2022.00088
Autor:
Yejin Lee, Hyunji Choi, Sunhong Min, Hyunseung Lee, Sangwon Beak, Dawoon Jeong, Jae W. Lee, Tae Jun Ham
Publikováno v:
2022 IEEE International Symposium on High-Performance Computer Architecture (HPCA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2bb7d9fb1be06d9adde0c9b3ededcd21
https://doi.org/10.1109/hpca53966.2022.00021
https://doi.org/10.1109/hpca53966.2022.00021
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031200823
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::27d0d2734497592371ddcd9a8baea14b
https://doi.org/10.1007/978-3-031-20083-0_11
https://doi.org/10.1007/978-3-031-20083-0_11
Autor:
DEOK-JAE OH, YAEBIN MOON, DO KYU HAM, TAE JUN HAM, YONGJUN PARK, LEE, JAE W., JUNG HO AHN, EOJIN LEE
Publikováno v:
ACM Transactions on Embedded Computing Systems; Jan2023, Vol. 22 Issue 1, p1-28, 28p
Publikováno v:
LCTES
Hardware performance monitoring units (PMUs) are a standard feature in modern microprocessors for high-performance computing (HPC) and embedded systems, by providing a rich set of microarchitectural event samplers. Recently, many profile-guided optim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2749e3a75934856e7ddd3c82498bcad6
https://doi.org/10.1145/3461648.3463844
https://doi.org/10.1145/3461648.3463844
Publikováno v:
ISCA
The self-attention mechanism is rapidly emerging as one of the most important key primitives in neural networks (NNs) for its ability to identify the relations within input entities. The self-attention-oriented NN models such as Google Transformer an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f9b90f507ca8063de54b457f7f989939
https://doi.org/10.1109/isca52012.2021.00060
https://doi.org/10.1109/isca52012.2021.00060