Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Michaleas, Adam"'
Autor:
Samsi, Siddharth, Zhao, Dan, McDonald, Joseph, Li, Baolin, Michaleas, Adam, Jones, Michael, Bergeron, William, Kepner, Jeremy, Tiwari, Devesh, Gadepally, Vijay
Large language models (LLMs) have exploded in popularity due to their new generative capabilities that go far beyond prior state-of-the-art. These technologies are increasingly being leveraged in various domains such as law, finance, and medicine. Ho
Externí odkaz:
http://arxiv.org/abs/2310.03003
Autor:
Trigg, Tyler, Meiners, Chad, Pisharody, Sandeep, Jananthan, Hayden, Jones, Michael, Michaleas, Adam, Davis, Timothy, Welch, Erik, Arcand, William, Bestor, David, Bergeron, William, Byun, Chansup, Gadepally, Vijay, Houle, Micheal, Hubbell, Matthew, Klein, Anna, Michaleas, Peter, Milechin, Lauren, Mullen, Julie, Prout, Andrew, Reuther, Albert, Rosa, Antonio, Samsi, Siddharth, Stetson, Doug, Yee, Charles, Kepner, Jeremy
Internet analysis is a major challenge due to the volume and rate of network traffic. In lieu of analyzing traffic as raw packets, network analysts often rely on compressed network flows (netflows) that contain the start time, stop time, source, dest
Externí odkaz:
http://arxiv.org/abs/2209.05725
Autor:
Tang, Benny J., Chen, Qiqi, Weiss, Matthew L., Frey, Nathan, McDonald, Joseph, Bestor, David, Yee, Charles, Arcand, William, Byun, Chansup, Edelman, Daniel, Hubbell, Matthew, Jones, Michael, Kepner, Jeremy, Klein, Anna, Michaleas, Adam, Michaleas, Peter, Milechin, Lauren, Mullen, Julia, Prout, Andrew, Reuther, Albert, Rosa, Antonio, Bowne, Andrew, McEvoy, Lindsey, Li, Baolin, Tiwari, Devesh, Gadepally, Vijay, Samsi, Siddharth
High-Performance Computing (HPC) centers and cloud providers support an increasingly diverse set of applications on heterogenous hardware. As Artificial Intelligence (AI) and Machine Learning (ML) workloads have become an increasingly larger share of
Externí odkaz:
http://arxiv.org/abs/2204.05839
Autor:
Samsi, Siddharth, Weiss, Matthew L, Bestor, David, Li, Baolin, Jones, Michael, Reuther, Albert, Edelman, Daniel, Arcand, William, Byun, Chansup, Holodnack, John, Hubbell, Matthew, Kepner, Jeremy, Klein, Anna, McDonald, Joseph, Michaleas, Adam, Michaleas, Peter, Milechin, Lauren, Mullen, Julia, Yee, Charles, Price, Benjamin, Prout, Andrew, Rosa, Antonio, Vanterpool, Allan, McEvoy, Lindsey, Cheng, Anson, Tiwari, Devesh, Gadepally, Vijay
Artificial intelligence (AI) and Machine learning (ML) workloads are an increasingly larger share of the compute workloads in traditional High-Performance Computing (HPC) centers and commercial cloud systems. This has led to changes in deployment app
Externí odkaz:
http://arxiv.org/abs/2108.02037
Autor:
Michaleas, Adam, Gjesteby, Lars A., Snyder, Michael, Chavez, David, Ash, Meagan, Melton, Matthew A., Lamb, Damon G., Burke, Sara N., Otto, Kevin J., Kamentsky, Lee, Guan, Webster, Chung, Kwanghun, Brattain, Laura J.
This paper describes a scalable active learning pipeline prototype for large-scale brain mapping that leverages high performance computing power. It enables high-throughput evaluation of algorithm results, which, after human review, are used for iter
Externí odkaz:
http://arxiv.org/abs/2006.14684
Human cytokine and coronavirus nucleocapsid protein interactivity using large-scale virtual screens.
Autor:
Tomezsko, Phillip J., Ford, Colby T., Meyer, Avery E., Michaleas, Adam M., Jaimes III, Rafael
Publikováno v:
Frontiers in Bioinformatics; 2024, p1-12, 12p
Akademický článek
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Akademický článek
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