Zobrazeno 1 - 10
of 75
pro vyhledávání: '"Sunita Chandrasekaran"'
Autor:
Vineeth Gutta, Satish Ranganathan Ganakammal, Sara Jones, Matthew Beyers, Sunita Chandrasekaran
Publikováno v:
PLoS Computational Biology, Vol 20, Iss 4, p e1011504 (2024)
The use of deep learning (DL) is steadily gaining traction in scientific challenges such as cancer research. Advances in enhanced data generation, machine learning algorithms, and compute infrastructure have led to an acceleration in the use of deep
Externí odkaz:
https://doaj.org/article/97fbf25e184944c0ac0d20d9af36e5ce
Autor:
Eric Wright, Mauricio H Ferrato, Alexander J Bryer, Robert Searles, Juan R Perilla, Sunita Chandrasekaran
Publikováno v:
PLoS Computational Biology, Vol 16, Iss 5, p e1007877 (2020)
Experimental chemical shifts (CS) from solution and solid state magic-angle-spinning nuclear magnetic resonance (NMR) spectra provide atomic level information for each amino acid within a protein or protein complex. However, structure determination o
Externí odkaz:
https://doaj.org/article/3d42bfd23dd446e3b48f1f03f7ea37b2
Autor:
Sunita Chandrasekaran, Eric Stahlberg
Publikováno v:
BMC Bioinformatics, Vol 19, Iss S18, Pp 1-2 (2018)
Externí odkaz:
https://doaj.org/article/9cf1d5ca49cb4706a89b042cdd2fcc17
Autor:
Sunita Chandrasekaran, Eric Stahlberg
Publikováno v:
BMC Bioinformatics, Vol 20, Iss 1, Pp 1-1 (2019)
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Externí odkaz:
https://doaj.org/article/e5a4a5169e204d828abd18e26bcc287d
Publikováno v:
Software: Practice and Experience. 53:3-5
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5681986202f6448c223ea029ebf438f8
https://doi.org/10.1002/spe.3155
https://doi.org/10.1002/spe.3155
Autor:
Matthew Leinhauser, René Widera, Sergei Bastrakov, Alexander Debus, Michael Bussmann, Sunita Chandrasekaran
Publikováno v:
ACM Transactions on Parallel Computing. 9:1-14
Due to the recent announcement of the Frontier supercomputer, many scientific application developers are working to make their applications compatible with AMD architectures (CPU-GPU), which means moving away from the traditional CPU and NVIDIA-GPU s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::518d3ec9efe4b9a0d7edd495f7c54c20
https://doi.org/10.1145/3505285
https://doi.org/10.1145/3505285
Autor:
Wael Elwasif, William Godoy, Nick Hagerty, J. Austin Harris, Oscar Hernandez, Balint Joo, Paul Kent, Damien Lebrun-Grandie, Elijah Maccarthy, Veronica Melesse Vergara, Bronson Messer, Ross Miller, Sarp Oral, Sergei Bastrakov, Michael Bussmann, Alexander Debus, Klaus Steiniger, Jan Stephan, Rene Widera, Spencer Bryngelson, Henry Le Berre, Anand Radhakrishnan, Jeffrey Young, Sunita Chandrasekaran, Florina Ciorba, Osman Simsek, Kate Clark, Filippo Spiga, Jeff Hammond, Stone John, David Hardy, Sebastian Keller, Jean-Guillaume Piccinali, Christian Trott
Publikováno v:
Preprint: https://arxiv.org/pdf/2209.09731.pdf
This paper assesses and reports the experience of ten teams working to port,validate, and benchmark several High Performance Computing applications on a novel GPU-accelerated Arm testbed system. The testbed consists of eight NVIDIA Arm HPC Developer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7a56b3ccb1bdda3c4ce4371c75065193
https://doi.org/10.1145/3581576.3581621
https://doi.org/10.1145/3581576.3581621
Autor:
Mauricio H Ferrato, Adam G Marsh, Karl R Franke, Benjamin J Huang, E Anders Kolb, Deborah DeRyckere, Douglas K Grahm, Sunita Chandrasekaran, Erin L Crowgey
Publikováno v:
Bioinformatics Advances. 3
Motivation The application of machine learning (ML) techniques in the medical field has demonstrated both successes and challenges in the precision medicine era. The ability to accurately classify a subject as a potential responder versus a nonrespon
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::62f77438569de74853c9e46d43ea2a5d
https://doi.org/10.1093/bioadv/vbad034
https://doi.org/10.1093/bioadv/vbad034
Autor:
Aaron Jarmusch, Aaron Liu, Christian Munley, Daniel Horta, Vaidhyanathan Ravichandran, Joel Denny, Kyle Friedline, Sunita Chandrasekaran
Publikováno v:
2022 Workshop on Accelerator Programming Using Directives (WACCPD).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::60e75ab71ecfd21a6944a05b1f513e40
https://doi.org/10.1109/waccpd56842.2022.00006
https://doi.org/10.1109/waccpd56842.2022.00006
Autor:
Thomas Huber, Swaroop Pophale, Nolan Baker, Michael Carr, Nikhil Rao, Jaydon Reap, Kristina Holsapple, Joshua Hoke Davis, Tobias Burnus, Seyong Lee, David E. Bernholdt, Sunita Chandrasekaran
The OpenMP language continues to evolve with every new specification release, as does the need to validate and verify the new features that have been introduced. With the release of OpenMP 5.0 and OpenMP 5.1, plenty of new target offload and host-bas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3be4ebb0993ef788cd615c6aef6e8eab
http://arxiv.org/abs/2208.13301
http://arxiv.org/abs/2208.13301
