IC Talk: Automatically Scalable Computation
Cancelled
Event details
| Date | 16.04.2018 |
| Hour | 10:15 › 11:30 |
| Location | |
| Category | Conferences - Seminars |
By: Margo Seltzer - Harvard's John A. Paulson School of Engineering and Applied Sciences
Abstract:
As our computational infrastructure races gracefully forward into increasingly parallel multi-core and clustered systems, our ability to easily produce software that can successfully exploit such systems continues to stumble. For years, we've fantasized about the world in which we'd write simple, sequential programs, add magic sauce, and suddenly have scalable, parallel executions. We're not there. We're not even close. I'll present a radical, potentially crazy
approach to automatic scalability, combining learning, prediction, and speculation To date, we've achieved shockingly good scalability and reasonable speedup in limited domains, but the potential is tantalizingly enormous.
Bio:
Margo Seltzer is the Herchel Smith Professor of Computer Science and the Faculty Director for the Center for Research on Computation and
Society in Harvard's John A. Paulson School of Engineering and Applied Sciences. Her research interests are in systems, construed quite broadly:
systems for capturing and accessing provenance, file systems, databases, transaction processing systems, storage and analysis of graph-structured
data, new architectures for parallelizing execution, and systems that apply technology to problems in healthcare.
Dr. Seltzer was a founder and CTO of Sleepycat Software, the makers of Berkeley DB, and is now an Architect at Oracle Corporation.
She received an A.B. degree in Applied Mathematics from Harvard/Radcliffe College in 1983 and a Ph. D. in Computer Science from the University of California, Berkeley in 1992.
More information
Abstract:
As our computational infrastructure races gracefully forward into increasingly parallel multi-core and clustered systems, our ability to easily produce software that can successfully exploit such systems continues to stumble. For years, we've fantasized about the world in which we'd write simple, sequential programs, add magic sauce, and suddenly have scalable, parallel executions. We're not there. We're not even close. I'll present a radical, potentially crazy
approach to automatic scalability, combining learning, prediction, and speculation To date, we've achieved shockingly good scalability and reasonable speedup in limited domains, but the potential is tantalizingly enormous.
Bio:
Margo Seltzer is the Herchel Smith Professor of Computer Science and the Faculty Director for the Center for Research on Computation and
Society in Harvard's John A. Paulson School of Engineering and Applied Sciences. Her research interests are in systems, construed quite broadly:
systems for capturing and accessing provenance, file systems, databases, transaction processing systems, storage and analysis of graph-structured
data, new architectures for parallelizing execution, and systems that apply technology to problems in healthcare.
Dr. Seltzer was a founder and CTO of Sleepycat Software, the makers of Berkeley DB, and is now an Architect at Oracle Corporation.
She received an A.B. degree in Applied Mathematics from Harvard/Radcliffe College in 1983 and a Ph. D. in Computer Science from the University of California, Berkeley in 1992.
More information
Practical information
- General public
- Free
- This event is internal
Contact
- Host : Jim Larus