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pro vyhledávání: '"Li, Zhuozhao"'
Modern scientific applications are increasingly decomposable into individual functions that may be deployed across distributed and diverse cyberinfrastructure such as supercomputers, clouds, and accelerators. Such applications call for new approaches
Externí odkaz:
http://arxiv.org/abs/2403.19257
Inspired by natural evolutionary processes, Evolutionary Computation (EC) has established itself as a cornerstone of Artificial Intelligence. Recently, with the surge in data-intensive applications and large-scale complex systems, the demand for scal
Externí odkaz:
http://arxiv.org/abs/2301.12457
Autor:
Li, Zhuozhao, Chard, Ryan, Babuji, Yadu, Galewsky, Ben, Skluzacek, Tyler, Nagaitsev, Kirill, Woodard, Anna, Blaiszik, Ben, Bryan, Josh, Katz, Daniel S., Foster, Ian, Chard, Kyle
funcX is a distributed function as a service (FaaS) platform that enables flexible, scalable, and high performance remote function execution. Unlike centralized FaaS systems, funcX decouples the cloud-hosted management functionality from the edge-hos
Externí odkaz:
http://arxiv.org/abs/2209.11631
Autor:
Chard, Kyle, Babuji, Yadu, Woodard, Anna, Clifford, Ben, Li, Zhuozhao, Hategan, Mihael, Foster, Ian, Wilde, Mike, Katz, Daniel S.
Publikováno v:
ACM SIGAda Ada Letters 40 (2), 73-75, 2020
Parsl is a parallel programming library for Python that aims to make it easy to specify parallelism in programs and to realize that parallelism on arbitrary parallel and distributed computing systems. Parsl relies on developers annotating Python func
Externí odkaz:
http://arxiv.org/abs/2205.01527
Autor:
Saadi, Aymen Al, Alfe, Dario, Babuji, Yadu, Bhati, Agastya, Blaiszik, Ben, Brettin, Thomas, Chard, Kyle, Chard, Ryan, Coveney, Peter, Trifan, Anda, Brace, Alex, Clyde, Austin, Foster, Ian, Gibbs, Tom, Jha, Shantenu, Keipert, Kristopher, Kurth, Thorsten, Kranzlmüller, Dieter, Lee, Hyungro, Li, Zhuozhao, Ma, Heng, Merzky, Andre, Mathias, Gerald, Partin, Alexander, Yin, Junqi, Ramanathan, Arvind, Shah, Ashka, Stern, Abraham, Stevens, Rick, Tan, Li, Titov, Mikhail, Tsaris, Aristeidis, Turilli, Matteo, Van Dam, Huub, Wan, Shunzhou, Wifling, David
The drug discovery process currently employed in the pharmaceutical industry typically requires about 10 years and $2-3 billion to deliver one new drug. This is both too expensive and too slow, especially in emergencies like the COVID-19 pandemic. In
Externí odkaz:
http://arxiv.org/abs/2010.06574
Autor:
Babuji, Yadu, Blaiszik, Ben, Brettin, Tom, Chard, Kyle, Chard, Ryan, Clyde, Austin, Foster, Ian, Hong, Zhi, Jha, Shantenu, Li, Zhuozhao, Liu, Xuefeng, Ramanathan, Arvind, Ren, Yi, Saint, Nicholaus, Schwarting, Marcus, Stevens, Rick, van Dam, Hubertus, Wagner, Rick
Researchers across the globe are seeking to rapidly repurpose existing drugs or discover new drugs to counter the the novel coronavirus disease (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). One promising approach
Externí odkaz:
http://arxiv.org/abs/2006.02431
Autor:
Chard, Ryan, Babuji, Yadu, Li, Zhuozhao, Skluzacek, Tyler, Woodard, Anna, Blaiszik, Ben, Foster, Ian, Chard, Kyle
Exploding data volumes and velocities, new computational methods and platforms, and ubiquitous connectivity demand new approaches to computation in the sciences. These new approaches must enable computation to be mobile, so that, for example, it can
Externí odkaz:
http://arxiv.org/abs/2005.04215
Autor:
Chard, Ryan, Skluzacek, Tyler J., Li, Zhuozhao, Babuji, Yadu, Woodard, Anna, Blaiszik, Ben, Tuecke, Steven, Foster, Ian, Chard, Kyle
Growing data volumes and velocities are driving exciting new methods across the sciences in which data analytics and machine learning are increasingly intertwined with research. These new methods require new approaches for scientific computing in whi
Externí odkaz:
http://arxiv.org/abs/1908.04907
Autor:
Babuji, Yadu, Woodard, Anna, Li, Zhuozhao, Katz, Daniel S., Clifford, Ben, Kumar, Rohan, Lacinski, Lukasz, Chard, Ryan, Wozniak, Justin M., Foster, Ian, Wilde, Michael, Chard, Kyle
High-level programming languages such as Python are increasingly used to provide intuitive interfaces to libraries written in lower-level languages and for assembling applications from various components. This migration towards orchestration rather t
Externí odkaz:
http://arxiv.org/abs/1905.02158
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