Zobrazeno 1 - 10
of 16
pro vyhledávání: '"J. Ray Scott"'
Autor:
Blakley, James, Haas, Scott, Firoiu, Victor, Iyer, Mahadevan, Beveridge, Daniel, Girish Narkhede, George, Shilpa, Eiszler, Thomas, Harkes, Jan, J Ray Scott, Mahadev Satyanarayanan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::431224422d5bd90483e6fd5f9700e9bd
Autor:
Uma R Chandran, Olga P Medvedeva, M Michael Barmada, Philip D Blood, Anish Chakka, Soumya Luthra, Antonio Ferreira, Kim F Wong, Adrian V Lee, Zhihui Zhang, Robert Budden, J Ray Scott, Annerose Berndt, Jeremy M Berg, Rebecca S Jacobson
Publikováno v:
PLoS ONE, Vol 11, Iss 10, p e0165395 (2016)
The Cancer Genome Atlas Project (TCGA) is a National Cancer Institute effort to profile at least 500 cases of 20 different tumor types using genomic platforms and to make these data, both raw and processed, available to all researchers. TCGA data are
Externí odkaz:
https://doaj.org/article/cbff19bf021f4dc4a1edfcf54f7fcaea
Publikováno v:
Proceedings of the First Workshop on Machine Learning for Computing Systems.
Bridges is the current main system at the Pittsburgh Supercomputing Center. Given the complexity of the system and the volume of its use, it is a very good environment for exploring the potential of machine learning techniques in studying sub-optimal
Autor:
Tabitha K. Samuel, Jason Charcalla, John Towns, David Walling, J. Ray Scott, Victor Hazlewood, Dan Lapine, Maytal Dahan, Derek Simmel, Peter Enstrom
Publikováno v:
PEARC
The Evaluating and Enhancing the eXtreme Digital Cyberinfrastructure for Maximum Usability and Science Impact project, known as the Technology Investigation Service (TIS), was a collaboration between University of Illinois at Urbana-Champaign Nationa
Autor:
Philip D. Blood, Richard Angeletti, J. Ray Scott, Jason Sommerfield, Beth Lynn Eicher, Anjana Kar
Publikováno v:
PEARC
We have demonstrated the synergy of a wide-area SLASH2 file system [1] with remote bioinformatics workflows between Extreme Science and Engineering Discovery Environment [2] sites using the Galaxy Project's web-based platform [3] for reproducible dat
Autor:
Victor Hazlewood, Scott Lathrop, Nancy Wilkins-Diehr, Kelly Gaither, John Towns, David Lifka, Ian Foster, Maytal Dahan, Ralph Roskies, Gregory D. Peterson, J. Ray Scott, Timothy M. Cockerill, Andrew S. Grimshaw
Publikováno v:
Computing in Science & Engineering. 16:62-74
Computing in science and engineering is now ubiquitous: digital technologies underpin, accelerate, and enable new, even transformational, research in all domains. Access to an array of integrated and well-supported high-end digital services is critic
Autor:
Philip D. Blood, Anish Chakka, Kim F. Wong, J. Ray Scott, Robert Budden, M. Michael Barmada, Uma R. Chandran, Rebecca S. Jacobson, Antonio Ferreira, Zhihui Zhang, Olga Medvedeva, Soumya Luthra, Annerose Berndt, Jeremy M Berg, Adrian V. Lee
Publikováno v:
PLoS ONE, Vol 11, Iss 10, p e0165395 (2016)
PLoS ONE
PLoS ONE
Background The Cancer Genome Atlas Project (TCGA) is a National Cancer Institute effort to profile at least 500 cases of 20 different tumor types using genomic platforms and to make these data, both raw and processed, available to all researchers. TC
A two day workshop attended by researchers from NSF-funded, data-oriented projects produced a summary document of the discussions that occurred during the workshop. These observations were further reviewed after the meeting and this document was crea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::333a6a5888a1a93e1a62afd9595a6c5e
Publikováno v:
XSEDE
In this paper, we describe Bridges, a new HPC resource that will integrate advanced memory technologies with a uniquely flexible, user-focused, data-centric environment to empower new research communities, bring desktop convenience to HPC, connect to
Autor:
Michael J. Levine, J. Ray Scott, Zhihui Zhang, Jared Yanovich, Paul Nowoczynski, Jason Sommerfield
Publikováno v:
Proceedings of the 1st Conference of the Extreme Science and Engineering Discovery Environment: Bridging from the eXtreme to the campus and beyond.
The Data SuperCell (DSC) is a new, disk-based data archive deployed and in production at the Pittsburgh Supercomputing Center (PSC). It specifically deals with the archival demands of large data processing in an economic way. DSC incorporates PSCs SL