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pro vyhledávání: '"Woodard , Anna"'
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:
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:
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
Autor:
Chard, Ryan, Li, Zhuozhao, Chard, Kyle, Ward, Logan, Babuji, Yadu, Woodard, Anna, Tuecke, Steve, Blaiszik, Ben, Franklin, Michael J., Foster, Ian
While the Machine Learning (ML) landscape is evolving rapidly, there has been a relative lag in the development of the "learning systems" needed to enable broad adoption. Furthermore, few such systems are designed to support the specialized requireme
Externí odkaz:
http://arxiv.org/abs/1811.11213
Autor:
Li, Zhuozhao, Chard, Ryan, Ward, Logan, Chard, Kyle, Skluzacek, Tyler J., Babuji, Yadu, Woodard, Anna, Tuecke, Steven, Blaiszik, Ben, Franklin, Michael J., Foster, Ian
Publikováno v:
In Journal of Parallel and Distributed Computing January 2021 147:64-76
Autor:
Omoleye, Olasubomi J., Freeman, Jincong Q., Oluwasanu, Mojisola, Adeniji-Sofoluwe, Adenike, Woodard, Anna E., Aribisala, Benjamin S., Adejumo, Prisca O., Ntekim, Atara, Makumbi, Timothy, Ndom, Paul, Ajayi, IkeOluwapo O., Olopade, Olufunmilayo I., Huo, Dezheng
Publikováno v:
Cancer Causes & Control; May2024, Vol. 35 Issue 5, p787-798, 12p
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