Zobrazeno 1 - 10
of 1 493
pro vyhledávání: '"A, Babuji"'
Autor:
Hudson, Nathaniel, Hayot-Sasson, Valerie, Babuji, Yadu, Baughman, Matt, Pauloski, J. Gregory, Chard, Ryan, Foster, Ian, Chard, Kyle
Federated Learning (FL) is a decentralized machine learning paradigm where models are trained on distributed devices and are aggregated at a central server. Existing FL frameworks assume simple two-tier network topologies where end devices are direct
Externí odkaz:
http://arxiv.org/abs/2409.16495
Autor:
Ward, Logan, Pauloski, J. Gregory, Hayot-Sasson, Valerie, Babuji, Yadu, Brace, Alexander, Chard, Ryan, Chard, Kyle, Thakur, Rajeev, Foster, Ian
Computational workflows are a common class of application on supercomputers, yet the loosely coupled and heterogeneous nature of workflows often fails to take full advantage of their capabilities. We created Colmena to leverage the massive parallelis
Externí odkaz:
http://arxiv.org/abs/2408.14434
Autor:
Kamatar, Alok, Hayot-Sasson, Valerie, Babuji, Yadu, Bauer, Andre, Rattihalli, Gourav, Hogade, Ninad, Milojicic, Dejan, Chard, Kyle, Foster, Ian
Application energy efficiency can be improved by executing each application component on the compute element that consumes the least energy while also satisfying time constraints. In principle, the function as a service (FaaS) paradigm should simplif
Externí odkaz:
http://arxiv.org/abs/2406.17710
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
Autor:
Mr. Manjunath Doddamani
Jagjivan Ram, affectionately known as Babuji, was a champion of social justice and a liberation warrior. A prominent and well-liked political figure who spent his entire life working for the welfare of the nation, he rose to public prominence quickly
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4ae1d9b7a8315935d5604b3ce9c65800
Autor:
Katz, Daniel S., Clifford, Ben, Babuji, Yadu, Kesling, Kevin Hunter, Woodard, Anna, Chard, Kyle
This position paper describes the Parsl open source research software project and its various phases over seven years. It defines four types of research software engineers (RSEs) who have been important to the project in those phases; we believe this
Externí odkaz:
http://arxiv.org/abs/2307.11060
Autor:
Collier, Nicholson, Wozniak, Justin M., Stevens, Abby, Babuji, Yadu, Binois, Mickaël, Fadikar, Arindam, Würth, Alexandra, Chard, Kyle, Ozik, Jonathan
COVID-19 had an unprecedented impact on scientific collaboration. The pandemic and its broad response from the scientific community has forged new relationships among domain experts, mathematical modelers, and scientific computing specialists. Comput
Externí odkaz:
http://arxiv.org/abs/2304.14244
Autor:
Ward, Logan, Pauloski, J. Gregory, Hayot-Sasson, Valerie, Chard, Ryan, Babuji, Yadu, Sivaraman, Ganesh, Choudhury, Sutanay, Chard, Kyle, Thakur, Rajeev, Foster, Ian
Applications that fuse machine learning and simulation can benefit from the use of multiple computing resources, with, for example, simulation codes running on highly parallel supercomputers and AI training and inference tasks on specialized accelera
Externí odkaz:
http://arxiv.org/abs/2303.08803
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