Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Tao B. Schardl"'
Publikováno v:
2023 Data Compression Conference (DCC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::053b42ed2dd12d7b66194d40188741ae
https://doi.org/10.1109/dcc55655.2023.00084
https://doi.org/10.1109/dcc55655.2023.00084
Autor:
Tao B. Schardl, I-Ting Angelina Lee
Publikováno v:
Proceedings of the 28th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c3b6f1f44456be5285a12fa3b83deac5
https://doi.org/10.1145/3572848.3577509
https://doi.org/10.1145/3572848.3577509
Autor:
Rocio Carratala-Saez, Arturo Gonzalez-Escribano, Alexandros-Stavros Iliopoulos, Charles E. Leiserson, Charlotte Park, Isabel Rosa, Tao B. Schardl, Yuri Torres, David P. Bunde
Publikováno v:
2022 IEEE/ACM International Workshop on Education for High Performance Computing (EduHPC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::915915b750e6f00fb1a07a4315344f32
https://doi.org/10.1109/eduhpc56719.2022.00012
https://doi.org/10.1109/eduhpc56719.2022.00012
Autor:
Tim Kaler, Giacomo Domeniconi, Charles E. Leiserson, Toyotaro Suzumura, Jie Chen, Tengfei Ma, Tao B. Schardl, Hiroki Kanezashi, Aldo Pareja
Publikováno v:
AAAI
Scopus-Elsevier
Scopus-Elsevier
Graph representation learning resurges as a trending research subject owing to the widespread use of deep learning for Euclidean data, which inspire various creative designs of neural networks in the non-Euclidean domain, particularly graphs. With th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::44fc1e16434d973a7475a07efa27e962
https://doi.org/10.1609/aaai.v34i04.5984
https://doi.org/10.1609/aaai.v34i04.5984
Publikováno v:
ACM Transactions on Parallel Computing. 6:1-33
Tapir (pronounced TAY-per) is a compiler intermediate representation (IR) that embeds recursive fork-join parallelism, as supported by task-parallel programming platforms such as Cilk and OpenMP, into a mainstream compiler’s IR. Mainstream compiler
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc0fd1efffdc7f8eab0c1ec2c089747a
https://doi.org/10.1145/3365655
https://doi.org/10.1145/3365655
Autor:
Anchengcheng Zhou, Tao B. Schardl, Yifan Xu, Grace Q. Yin, Kunal Agrawal, I-Ting Angelina Lee
Publikováno v:
SPAA
While there has been extensive research on race-detection algorithms for task-parallel programs, most of this research has focused on optimizing a particular component, namely, reachability analysis, which checks whether two instructions are logicall
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5d88ee224f820643d2d79f9edf5113f7
https://doi.org/10.1145/3409964.3461825
https://doi.org/10.1145/3409964.3461825
Publikováno v:
IPDPS
Parallel loops are commonly used parallel constructs to parallelize high-performance scientific applications. In the paradigm of task parallelism, the parallel loop construct is used to express the logical parallelism of the loop, indicating that the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4cb256438f9e1820890c616d35ebfcd2
https://doi.org/10.1109/ipdps49936.2021.00067
https://doi.org/10.1109/ipdps49936.2021.00067
Autor:
Charles E. Leiserson, Daniel Sanchez, Tao B. Schardl, Neil C. Thompson, Butler W. Lampson, Bradley C. Kuszmaul, Joel Emer
Publikováno v:
Science (New York, N.Y.). 368(6495)
From bottom to top The doubling of the number of transistors on a chip every 2 years, a seemly inevitable trend that has been called Moore's law, has contributed immensely to improvements in computer performance. However, silicon-based transistors ca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::14f33aea7108df15d86e6d9e091b8d36
https://pubmed.ncbi.nlm.nih.gov/32499413
https://pubmed.ncbi.nlm.nih.gov/32499413