Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Richard Shane Canon"'
Publikováno v:
2019 IEEE/ACM International Workshop on Containers and New Orchestration Paradigms for Isolated Environments in HPC (CANOPIE-HPC).
Reproducibility is a core tenet of the scientific process, yet it remains elusive for much of the sophisticated analysis required in modern science. In this paper we describe how reproducibility is addressed in the KBase platform, a web-based platfor
Publikováno v:
ICOIN
Supercomputers have long been characterized by their closed and proprietary interconnects. Software Defined Networking (SDN) allows for the programmatic flow management of network traffic. The introduction of SDN into the High Performance Computing (
Autor:
J Botts, Kirill Lozinskiy, David Paul, N Balthaser, Jialin Liu, KA Kallback-Rose, Nicholas J. Wright, Chris Daley, Quincey Koziol, Damian Hazen, T Stone Gibbins, Ravi Cheema, Cory Snavely, Katie Antypas, Prabhat, Tina Declerck, GF Butler, Jay Srinivasan, WE Hurlbert, Glenn K. Lockwood, L. Gerhardt, Richard Shane Canon, S Leak, R Lee, J Broughton, TL Butler, Jan Balewski, Jason Lee, Wahid Bhimji
Author(s): Lockwood, GK; Hazen, D; Koziol, Q; Canon, RS; Antypas, K; Balewski, J; Balthaser, N; Bhimji, W; Botts, J; Broughton, J; Butler, TL; Butler, GF; Cheema, R; Daley, C; Declerck, T; Gerhardt, L; Hurlbert, WE; Kallback-Rose, KA; Leak, S; Lee, J
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2c292b9aaaf15d0722921aab2150ecab
https://doi.org/10.2172/1632124
https://doi.org/10.2172/1632124
Autor:
Brian Tierney, Justin Blair, Craig Tull, Alastair A. MacDowell, Dilworth Y. Parkinson, S. J. Patton, Abdelilah Essiari, Alexander Hexemer, Jack Deslippe, Lavanya Ramakrishnan, Richard Shane Canon, Nobumichi Tamura
Publikováno v:
SPIE Proceedings.
The Advanced Light Source (ALS) is a third-generation synchrotron X-ray source that operates as a user facility with more than 40 beamlines hosting over 2000 users per year from around the world. Users of the Hard X-ray Micro-Tomography Beamline (8.3
Autor:
M. Emamian, N.G. Gavrilov, H. R. Weller, Karl David Straub, C. R. Howell, R. Sachtschale, S. F. Mikhailov, P. Morcombe, Vladimir Litvinenko, Alexander Skrinsky, Nikolay Vinokurov, Patrick G. O'Shea, N. R. Roberson, Alex H. Lumpkin, N. Hower, John M. J. Madey, G. Swift, S.H. Park, Richard Shane Canon, B. E. Norum, V.M. Popik, G.N. Kulipanov, E. C. Schreiber, Igor Pinayev, P. Wang, B. Burnham, Bingxin Yang, Werner Tornow, M. Spraker, G. Y. Kurkin, M.G. Fedotov, Ying Wu
Publikováno v:
Physical Review Letters. 78:4569-4572
A nearly monochromatic beam of 100% linearly polarized g rays has been produced via Compton backscattering inside a free electron laser optical cavity. The beam of 12.2 MeV g rays was obtained by backscattering 379.4 nm free-electron laser photons fr
Publikováno v:
ScienceCloud@HPDC
Scientific facilities such as the Advanced Light Source (ALS) and Joint Genome Institute and projects such as the Materials Project have an increasing need to capture, store, and analyze dynamic semi-structured data and metadata. A similar growth of
Publikováno v:
BigData Congress
The volume and complexity of data produced and analyzed in scientific collaborations is growing exponentially. It is important to track scientific data-intensive analysis workflows to provide context and reproducibility as data is transformed in thes
Autor:
Lavanya Ramakrishnan, Richard Shane Canon, Dan Gunter, Elif Dede, Zacharia Fadika, Madhusudhan Govindaraju, Jessica Hartog
Publikováno v:
eScience
MapReduce has since its inception been steadily gaining ground in various scientific disciplines ranging from space exploration to protein folding. The model poses a challenge for a wide range of current and legacy scientific applications for address
Publikováno v:
IEEE CLOUD
Emerging sensor networks, more capable instruments, and ever increasing simulation scales are generating data at a rate that exceeds our ability to effectively manage, curate, analyze, and share it. Data-intensive computing is expected to revolutioni
Publikováno v:
Proceedings of the second international workshop on Data intensive computing in the clouds.
The scientific community is exploring the suitability of cloud infrastructure to handle High Performance Computing (HPC) applications. The goal of Magellan, a project funded through DOE ASCR, is to investigate the potential role of cloud computing to