Zobrazeno 1 - 10
of 58
pro vyhledávání: '"Devarshi Ghoshal"'
Publikováno v:
Journal of Open Research Software, Vol 8, Iss 1 (2020)
Scientific software development processes are understood to be distinct from commercial software development practices due to uncertain and evolving states of scientific knowledge. Sustaining these software products is a recognized challenge, but und
Externí odkaz:
https://doaj.org/article/b0fe1f149f624c12afe1e0fd2c882d36
Autor:
Lavanya Ramakrishnan, Devarshi Ghoshal
Publikováno v:
ACM Transactions on Storage. 17:1-21
Scientific workflows in High Performance Computing ( HPC ) environments are processing large amounts of data. The storage hierarchy on HPC systems is getting deeper, driven by new technologies (NVRAMs, SSDs, etc.) There is a need for new programming
Autor:
Devarshi Ghoshal, Ludovico Bianchi, Abdelilah Essiari, Drew Paine, Sarah S. Poon, Michael Beach, Alpha T. N'Diaye, Patrick Huck, Lavanya Ramakrishnan
Workflows are increasingly processing large volumes of data from scientific instruments, experiments and sensors. These workflows often consist of complex data processing and analysis steps that might include a diverse ecosystem of tools and also oft
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::97c03786b3ec19f0c86136f500be695e
https://escholarship.org/uc/item/2709n3mt
https://escholarship.org/uc/item/2709n3mt
Autor:
Lavanya Ramakrishnan, Michael Beach, Abdelilah Essiari, Ludovico Bianchi, Devarshi Ghoshal, Drew Paine
Science Capsule is a free open source software that allows researchers to automatically capture their end-to-end workflows including the scripts, data, and execution environment. Science Capsule monitors the workflow environment to capture the proven
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::96900122fbaf284f43e7c5beda755b4b
Autor:
Lavanya Ramakrishnan, Shreyas Cholia, Lindsey J. Heagy, Ludovico Bianchi, Devarshi Ghoshal, Fernando Perez, Jon Hays, Drew Paine, Matthew L. Henderson
Publikováno v:
UrgentHPC@SC
The growth in scientific data volumes has resulted in a need to scale up processing and analysis pipelines using High Performance Computing (HPC) systems. These workflows need interactive, reproducible analytics at scale. The Jupyter platform provide
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f08b129830980d908f9456b5414e2964
https://escholarship.org/uc/item/0sv9g4gn
https://escholarship.org/uc/item/0sv9g4gn
Autor:
Brian Austin, Glenn K. Lockwood, Deborah Bard, Christopher S. Daley, Nicholas J. Wright, Lavanya Ramakrishnan, Devarshi Ghoshal
Publikováno v:
WORKS@SC
Scientific advances depend on the ability to effectively and efficiently use high performance computing (HPC) systems to manage and run large, complex scientific workflows. Towards understanding the characteristics of these large scientific workflows
Autor:
Christopher Daley, Lavanya Ramakrishnan, Sudip S. Dosanjh, Devarshi Ghoshal, Nicholas J. Wright, Glenn K. Lockwood
Scientific discoveries are increasingly dependent upon the analysis of large volumes of data from observations and simulations of complex phenomena. Scientists compose the complex analyses as workflows and execute them on large-scale HPC systems. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4dfe6e77909fcf27249986d4b8239b30
https://escholarship.org/uc/item/3t75f0qg
https://escholarship.org/uc/item/3t75f0qg
Publikováno v:
Journal of Open Research Software, Vol 8, Iss 1 (2020)
Journal of Open Research Software, vol 8, iss 1
Journal of Open Research Software; Vol 8, No 1 (2020); 18
Journal of Open Research Software, vol 8, iss 1
Journal of Open Research Software; Vol 8, No 1 (2020); 18
Scientific software development processes are understood to be distinct from commercial software development practices due to uncertain and evolving states of scientific knowledge. Sustaining these software products is a recognized challenge, but und
Author(s): Paine, Drew; Ghoshal, Devarshi; Ramakrishnan, Lavanya | Abstract: Scientific datasets are continually expanding and changing due to fluctuations with instruments, quality assessment and quality control processes, and modifications to softw
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::109819e3422e095807b0a052d127e43c
https://doi.org/10.2172/1650129
https://doi.org/10.2172/1650129
Autor:
Abdelrahman Elbashandy, Oluwamayowa O. Amusat, Devarshi Ghoshal, Gilberto Pastorello, Dan Gunter, Drew Paine, Lavanya Ramakrishnan
Publikováno v:
Proceedings of the 4th International Workshop on Practical Reproducible Evaluation of Computer Systems.
Reproducible research is becoming essential for science to ensure transparency and for building trust. Additionally, reproducibility provides the cornerstone for sharing of methodology that can improve efficiency. Although several tools and studies f