Zobrazeno 1 - 10
of 90
pro vyhledávání: '"I. Hsin Chung"'
Autor:
Paula Olaya, Jakob Luettgau, Ricardo Llamas, Rodrigo Vargas, Jay Lofstead, Sophia Wen, I-Hsin Chung, Seetharami Seelam, Michela Taufer
Enabling Scalability in the Cloud for Scientific Workflows: An Earth Science Use Case
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a3ec3dd90343d0eafb34efb226416d21
Autor:
Olaya, Paula, Luettgau, Jakob, Llamas, Ricardo, Vargas, Rodrigo, Lofstead, Jay, Wen, Sophia, I-Hsin Chung, Seetharami Seelam, Taufer, Michela
What cutting-edge storage technology is available to deal with data? Can we leverage services deployment platforms for scientific workflows? How do we tune the storage and deployment platforms?
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1759a12ca06f7baefb5b827674f4feca
Publikováno v:
2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW).
Publikováno v:
Proceedings of the 2022 ACM/SPEC on International Conference on Performance Engineering.
Autor:
Olaya, Paula, Luettgau, Jakob, Naweiluo Zhou, Scorzelli, Giorgio, Lofstead, Jay, When, Sophia, I-Hsin Chung, Seetharami Seelam, Taufer, Michela
Platforms in the cloud have been tuned for service deployments; when used out of the shelf for scientific workflows, the performance decreases. We can leverage services deployments (e.g., Openshift, Kubernetes) to scale scientific workflows in an aut
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::22bd8b98b49783312793a3e59099baed
Autor:
Lorraine M. Herger, I-Hsin Chung, Todd Deshane, Kim Tran, Chekuri Choudary, Kaoutar El Maghraoui
Publikováno v:
SCC
A composable infrastructure is defined as resources such as compute, storage, accelerators, and networking, that are shared in a pool and that can be grouped in different configurations to varying meet business requirements. In this paper, we explore
Publikováno v:
Proposed for 30.ACM Symposium on High-Performance Parallel and Distributed Computing (HPDC '21), Held Virtually, Stockholm (Sweden), 21-25 Jun 2021.
Publikováno v:
HPDC
MPI derived datatypes are an abstraction that simplifies handling of non-contiguous data in MPI applications. These datatypes are recursively constructed at runtime from primitive Named Types defined in the MPI standard. More recently, the developmen
Autor:
I-Hsin Chung, Kazuhiko Komatsu
Publikováno v:
IPDPS Workshops
Publikováno v:
Proposed for 30.ACM Symposium on High-Performance Parallel and Distributed Computing (HPDC '21), Held Virtually, Stockholm (Sweden), 21-25 Jun 2021.