Looking For An Internship as a High School Student? Read About Kelsie's Experience at USC ISI
This past summer, Lam, a high school student from Mission San Jose High School, sought out a summer internship that piqued her interest.
Fri, Apr 02, 2021
Seminar: Scheduling and Memory Management for Large-Scale Applications: From Caches to Burst Buffers
This talk explores scheduling problems in the context of large-scale applications from a memory perspective. We focus here on two very different levels of memory in the hierarchy: caches and burst buffers.With...
Sat, Feb 22, 2020
Seminar: Distribute High Throughput Computing at Work, an OSG Status Report
For more than 15 years, the Open Science Grid (OSG) has been offering the science community a fabric of distributed High Throughput Computing (dHTC) services. In close collaboration with science and campus...
Mon, Feb 10, 2020
Seminar: defoe: A Spark-based Toolbox for Analysing Digital Historical Textual Data
In this talk will present defoe, a new scalable and portable digital toolbox that enables historical research. It allows for extracting knowledge from historical data by running text analyses across large digital...
Thu, Oct 03, 2019
Seminar: The Cyberinfrastructure of Gravitational-wave Astronomy and March towards LIGO Open Data
The discovery of gravitational waves by LIGO and Virgo has been a revolution event in astronomy and physics. In this talk, I will discuss some of the cyberinfrastructure that is used to...
Tue, Jun 04, 2019
Seminar: Co-scheduling for large-scale applications: memory and resilience
This talk explores co-scheduling problems in the context of large-scale applications with two main focus: the memory side, in particular the cache memory and the resilience side. With the recent advent of...
Tue, May 28, 2019
- Papadimitriou, G., Wang, C., Vahi, K., Ferreira da Silva, R., Mandal, A., Zhengchun, L., Mayani, R., Rynge, M., Kiran, M., Lynch, V. E., Kettimuthu, R., Deelman, E., Vetter, J. S., & Foster, I. (2021). End-to-End Online Performance Data Capture and Analysis for Scientific Workflows. Future Generation Computer Systems, 117, 387–400. https://doi.org/10.1016/j.future.2020.11.024 (Funding Acknowledgments: DOE DE-SC0012636)
- Do, T. M. A., Pottier, L., Caíno-Lores, S., Ferreira da Silva, R., Cuendet, M. A., Weinstein, H., Estrada, T., Taufer, M., & Deelman, E. (2021). A Lightweight Method for Evaluating In Situ Workflow Efficiency. Journal of Computational Science, 48, 101259. https://doi.org/10.1016/j.jocs.2020.101259 (Funding Acknowledgments: NSF 1741040, DOE DE-SC0012636)
- Ferreira da Silva, R., Casanova, H., Orgerie, A.-C., Tanaka, R., Deelman, E., & Suter, F. (2020). Characterizing, Modeling, and Accurately Simulating Power and Energy Consumption of I/O-intensive Scientific Workflows. Journal of Computational Science, 44, 101157. https://doi.org/10.1016/j.jocs.2020.101157 (Funding Acknowledgments: NSF 1642335, NSF 1923539, NSF 1664162, DOE DE-SC0012636)
- Deelman, E., Ferreira da Silva, R., Vahi, K., Rynge, M., Mayani, R., Tanaka, R., Whitcup, W., & Livny, M. (2020). The Pegasus Workflow Management System: Translational Computer Science in Practice. Journal of Computational Science. https://doi.org/10.1016/j.jocs.2020.101200 (Funding Acknowledgments: NSF 1664162)