Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Mats Rynge"'
Publikováno v:
Bioinformatics and Biology Insights, Vol 2016, Iss 10, Pp 133-141 (2016)
Externí odkaz:
https://doaj.org/article/e7201ac8f2dc48018f241631d68c8522
Autor:
Shelley L. Knuth, Julie Ma, Joel C. Adams, Alan Chalker, Ewa Deelman, Layla Freeborn, Vikram Gazula, John Goodhue, James Griffioen, David Hudak, Andrew Pasquale, Dylan Perkins, Alana Romanella, Mats Rynge
Publikováno v:
The Journal of Computational Science Education. 13:17-20
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4b90c3cad4d6c89875b8ccdde1f6252b
https://doi.org/10.22369/issn.2153-4136/13/2/4
https://doi.org/10.22369/issn.2153-4136/13/2/4
Autor:
Tomasz Osinski, Mats Rynge, James K. Hong, Karan Vahi, Ruilin Chu, Cesar Sul, Ewa Deelman, Byoung-Do Kim
Publikováno v:
2022 IEEE/ACM Workshop on Workflows in Support of Large-Scale Science (WORKS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3771ef8d858817f40893ecee3848de5c
https://doi.org/10.1109/works56498.2022.00013
https://doi.org/10.1109/works56498.2022.00013
Autor:
Andrew M. Watkins, Gregory Thain, Ivan N Zheludev, Mats Rynge, Jose Chacon, Rhiju Das, Wipapat Kladwang, Jill Townley, Ramya Rangan, Rachael Kretsch
Publikováno v:
Nucleic Acids Research
The rapid spread of COVID-19 is motivating development of antivirals targeting conserved SARS-CoV-2 molecular machinery. The SARS-CoV-2 genome includes conserved RNA elements that offer potential small-molecule drug targets, but most of their 3D stru
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4b5d7f00a82b1287486eb802164aefc4
https://doi.org/10.1093/nar/gkab119
https://doi.org/10.1093/nar/gkab119
Autor:
Yufeng Xin, Shih-Wen Fu, Anirban Mandal, Ilya Baldin, Ryan Tanaka, Mats Rynge, Karan Vahi, Ewa Deelman, Ishan Abhinit, Welch Von
Publikováno v:
2021 International Conference on Information and Communication Technology Convergence (ICTC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::53ef821832a17b3d8d8c2e675341406b
https://doi.org/10.1109/ictc52510.2021.9621124
https://doi.org/10.1109/ictc52510.2021.9621124
Autor:
Miron Livny, Rafael Ferreira da Silva, Mats Rynge, George Papadimitriou, Rajiv Mayani, Ewa Deelman, Karan Vahi
Publikováno v:
Computing in Science & Engineering. 21:22-36
Since 2001, the Pegasus Workflow Management System has evolved into a robust and scalable system that automates the execution of a number of complex applications running on a variety of heterogeneous, distributed high-throughput, and high-performance
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1c472a038541da469470d1bfc410f15d
https://doi.org/10.1109/mcse.2019.2919690
https://doi.org/10.1109/mcse.2019.2919690
Autor:
Krzysztof Burkat, Bartosz Balis, Mats Rynge, Maciej Malawski, Ewa Deelman, Maciej Pawlik, Rafael Ferreira da Silva, Karan Vahi
The increasing popularity of the serverless computing approach has led to the emergence of new cloud infrastructures working in Container-as-a-Service (CaaS) model like AWS Fargate, Google Cloud Run, or Azure Container Instances. New infrastructures
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::47b7a12eabcbac5548ebea1653663d96
http://arxiv.org/abs/2010.11320
http://arxiv.org/abs/2010.11320
Publikováno v:
PEARC Companion
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8ca2d96c48aaeab2f89ef0bebd8cd074
https://doi.org/10.1145/3425306.3444796
https://doi.org/10.1145/3425306.3444796
Autor:
Ramya Rangan, Andrew M. Watkins, Gregory Thain, Ivan N Zheludev, Jose Chacon, Wipapat Kladwang, Jill Townley, Mats Rynge, Rhiju Das
The rapid spread of COVID-19 is motivating development of antivirals targeting conserved SARS-CoV-2 molecular machinery. The SARS-CoV-2 genome includes conserved RNA elements that offer potential small-molecule drug targets, but most of their 3D stru
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6c611793ab1a082354e133b896ad9767
https://doi.org/10.1101/2020.04.14.041962
https://doi.org/10.1101/2020.04.14.041962
Autor:
Rajiv Mayani, Yuning Shi, Rafael Ferreira da Silva, Armen R. Kemanian, Ewa Deelman, Mats Rynge
Publikováno v:
IEEE BigData
Scientific workflows have enabled large-scale scientific computations and data analysis, and lowered the entry barrier for performing computations in distributed heterogeneous platforms (e.g., HTC and HPC). In spite of impressive achievements to date
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d5ad773cb5b92b784b2d5dc9c9ad2691
https://doi.org/10.1109/bigdata47090.2019.9006107
https://doi.org/10.1109/bigdata47090.2019.9006107