Zobrazeno 1 - 10
of 137
pro vyhledávání: '"Samsi, Siddharth"'
Autor:
Zhao, Dan, Samsi, Siddharth, McDonald, Joseph, Li, Baolin, Bestor, David, Jones, Michael, Tiwari, Devesh, Gadepally, Vijay
As research and deployment of AI grows, the computational burden to support and sustain its progress inevitably does too. To train or fine-tune state-of-the-art models in NLP, computer vision, etc., some form of AI hardware acceleration is virtually
Externí odkaz:
http://arxiv.org/abs/2402.18593
Autor:
Veillette, Mark S., Kurdzo, James M., Stepanian, Phillip M., Cho, John Y. N., Samsi, Siddharth, McDonald, Joseph
Weather radar is the primary tool used by forecasters to detect and warn for tornadoes in near-real time. In order to assist forecasters in warning the public, several algorithms have been developed to automatically detect tornadic signatures in weat
Externí odkaz:
http://arxiv.org/abs/2401.16437
Autor:
Reuther, Albert, Michaleas, Peter, Jones, Michael, Gadepally, Vijay, Samsi, Siddharth, Kepner, Jeremy
This paper is an update of the survey of AI accelerators and processors from past four years, which is now called the Lincoln AI Computing Survey - LAICS (pronounced "lace"). As in past years, this paper collects and summarizes the current commercial
Externí odkaz:
http://arxiv.org/abs/2310.09145
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:
Jananthan, Hayden, Kepner, Jeremy, Jones, Michael, Arcand, William, Bestor, David, Bergeron, William, Byun, Chansup, Davis, Timothy, Gadepally, Vijay, Grant, Daniel, Houle, Michael, Hubbell, Matthew, Klein, Anna, Milechin, Lauren, Morales, Guillermo, Morris, Andrew, Mullen, Julie, Patel, Ritesh, Pentland, Alex, Pisharody, Sandeep, Prout, Andrew, Reuther, Albert, Rosa, Antonio, Samsi, Siddharth, Trigg, Tyler, Wachman, Gabriel, Yee, Charles, Michaleas, Peter
Expanding the scientific tools available to protect computer networks can be aided by a deeper understanding of the underlying statistical distributions of network traffic and their potential geometric interpretations. Analyses of large scale network
Externí odkaz:
http://arxiv.org/abs/2310.00522
Autor:
Byun, Chansup, Arcand, William, Bestor, David, Bergeron, Bill, Gadepally, Vijay, Houle, Michael, Hubbell, Matthew, Jananthan, Hayden, Jones, Michael, Klein, Anna, Michaleas, Peter, Milechin, Lauren, Morales, Guillermo, Mullen, Julie, Prout, Andrew, Reuther, Albert, Rosa, Antonio, Samsi, Siddharth, Yee, Charles, Kepner, Jeremy
pPython seeks to provide a parallel capability that provides good speed-up without sacrificing the ease of programming in Python by implementing partitioned global array semantics (PGAS) on top of a simple file-based messaging library (PythonMPI) in
Externí odkaz:
http://arxiv.org/abs/2309.03931
Autor:
Jones, Michael, Kepner, Jeremy, Prout, Andrew, Davis, Timothy, Arcand, William, Bestor, David, Bergeron, William, Byun, Chansup, Gadepally, Vijay, Houle, Micheal, Hubbell, Matthew, Jananthan, Hayden, Klein, Anna, Milechin, Lauren, Morales, Guillermo, Mullen, Julie, Patel, Ritesh, Pisharody, Sandeep, Reuther, Albert, Rosa, Antonio, Samsi, Siddharth, Yee, Charles, Michaleas, Peter
Matrix/array analysis of networks can provide significant insight into their behavior and aid in their operation and protection. Prior work has demonstrated the analytic, performance, and compression capabilities of GraphBLAS (graphblas.org) hyperspa
Externí odkaz:
http://arxiv.org/abs/2309.02464
Autor:
Kepner, Jeremy, Jones, Michael, Dykstra, Phil, Byun, Chansup, Davis, Timothy, Jananthan, Hayden, Arcand, William, Bestor, David, Bergeron, William, Gadepally, Vijay, Houle, Micheal, Hubbell, Matthew, Klein, Anna, Milechin, Lauren, Morales, Guillermo, Mullen, Julie, Patel, Ritesh, Pentland, Alex, Pisharody, Sandeep, Prout, Andrew, Reuther, Albert, Rosa, Antonio, Samsi, Siddharth, Trigg, Tyler, Yee, Charles, Michaleas, Peter
Defending community-owned cyber space requires community-based efforts. Large-scale network observations that uphold the highest regard for privacy are key to protecting our shared cyberspace. Deployment of the necessary network sensors requires care
Externí odkaz:
http://arxiv.org/abs/2309.01806
Autor:
Li, Baolin, Roy, Rohan Basu, Wang, Daniel, Samsi, Siddharth, Gadepally, Vijay, Tiwari, Devesh
The rapid growth in demand for HPC systems has led to a rise in carbon footprint, which requires urgent intervention. In this work, we present a comprehensive analysis of the carbon footprint of high-performance computing (HPC) systems, considering t
Externí odkaz:
http://arxiv.org/abs/2306.13177
This paper presents a solution to the challenge of mitigating carbon emissions from hosting large-scale machine learning (ML) inference services. ML inference is critical to modern technology products, but it is also a significant contributor to carb
Externí odkaz:
http://arxiv.org/abs/2304.09781