Zobrazeno 1 - 10
of 62
pro vyhledávání: '"Anne C Elster"'
Autor:
Daniel S Katz, Sou-Cheng T Choi, Hilmar Lapp, Ketan Maheshwari, Frank Löffler, Matthew Turk, Marcus D Hanwell, Nancy Wilkins-Diehr, James Hetherington, James Howison, Shel Swenson, Gabrielle D Allen, Anne C Elster, Bruce Berriman, Colin Venters
Publikováno v:
Journal of Open Research Software, Vol 2, Iss 1, Pp e6-e6 (2014)
Challenges related to development, deployment, and maintenance of reusable software for science are becoming a growing concern. Many scientists’ research increasingly depends on the quality and availability of software upon which their works are bu
Externí odkaz:
https://doaj.org/article/1952244386564b1393f0e2c676b085d7
Autor:
Sonia Lopez Alarcon, Anne C. Elster
There is a lot of focus on how Quantum Computing as an accelerator differs from other traditional HPC resources, including accelerators like GPUs and FPGAs. In classical computing, how to design the interfaces that connect the different layers of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9d53d8aba22887ba5dc22150d2d4a4e1
https://doi.org/10.22541/au.168165591.14552756/v1
https://doi.org/10.22541/au.168165591.14552756/v1
Autor:
Jo Eidsvik, Hefeng Dong, Stale Johansen, John Robert Potter, Martin Landrø, Phil Ringrose, Volker Oye, Susann Wienecke, Léa Bouffaut, Anne C. Elster
Publikováno v:
First Break
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::76162c61f130f08c6ab18c537a698332
https://doi.org/10.3997/1365-2397.fb2021076
https://doi.org/10.3997/1365-2397.fb2021076
Publikováno v:
Computing in Science & Engineering. 23:102-105
Reports on ARM, a 30-year-old U.K.-based semiconductor Intellectual Property (IP) company that started as Advanced RISC Machines Ltd., a joint venture that included former U.K. company Acorn Computers, Apple Computers (now Apple Inc.),1 and VLSI Tech
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::318b1ecc46ec0cf3a6ecf51fcf93ff31
https://doi.org/10.1109/mcse.2020.3044070
https://doi.org/10.1109/mcse.2020.3044070
Autor:
Ajeet Ram Pathak, Anne C. Elster
Publikováno v:
2022 International Conference on Applied Artificial Intelligence (ICAPAI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::49fc30f9944d3a48e26794043ee8c7be
https://doi.org/10.1109/icapai55158.2022.9801568
https://doi.org/10.1109/icapai55158.2022.9801568
Publikováno v:
IEEE Access, Vol 1, Pp 564-576 (2013)
As data sets continue to grow in size, visualization has become a vitally important tool for extracting meaningful knowledge. Scattered point data, which are unordered sets of point coordinates with associated measured values, arise in many contexts,
Externí odkaz:
https://doaj.org/article/2d7df65428e34b08a46c3c06127b130a
Publikováno v:
Computing in Science & Engineering. 22:108-112
IntroductionDeep learning (DL) has emerged as a powerful tool to solve a variety of complex problems that have been difficult to solve with traditional methods. However, domain experts attempting to apply DL methodology have to learn to code in order
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::45fad6856d5f3505ad9f62c9232ed71f
https://doi.org/10.1109/mcse.2020.3009765
https://doi.org/10.1109/mcse.2020.3009765
Publikováno v:
Computing in Science & Engineering. 22:104-109
High-level synthesis (HLS) and OpenCL are the two leading high-level design platforms that are becoming widely used for programming FPGAs. Their proponents claim that these tools require little to no knowledge of the hardware design principles and ca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a6d0366de5260c58a99cc6a37ee513a4
https://doi.org/10.1109/mcse.2020.2996072
https://doi.org/10.1109/mcse.2020.2996072
Autor:
Anne C. Elster, Tor A. Haugdahl
Publikováno v:
Computing in science & engineering
At GTC 2022, Nvidia announced a new product family that aims to cover from small enterprise workloads through exascale high performance computing (HPC) and trillion-parameter AI models. This column highlights the most interesting features of their ne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5daefaa7aef3656fb9db048e42251d4e
https://hdl.handle.net/11250/3051840
https://hdl.handle.net/11250/3051840
Publikováno v:
IPDPS Workshops
Proceedings, International Parallel and Distributed Processing Symposium (IPDPS)
Proceedings, International Parallel and Distributed Processing Symposium (IPDPS)
Peak performance metrics published by vendors often do not correspond to what can be achieved in practice. It is therefore of great interest to do extensive benchmarking on core applications and library routines. Since DGEMM is one of the most used i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9db4e68861584a057c4a32eee40857e0
https://doi.org/10.1109/ipdpsw52791.2021.00119
https://doi.org/10.1109/ipdpsw52791.2021.00119