|When:||Tuesday, February 5, 2013|
4:00 PM - 5:00 PM
Technological Institute, Room L324 |
2145 Sheridan Road
Evanston, IL 60208 map it
|Audience:||- Faculty/Staff - Student - Public|
(847) 467-0028 |
|Group:||Electrical Engineering & Computer Science|
|Category:||Lectures & Meetings|
The EECS Department welcomes Dr. Jack Lange of the University of Pittsburgh.
John Lange, an alum of Northwestern, will speak on Tuesday February 5, 2013 at 4 PM in Tech L324.
Title: Partition and Isolate: Approaches for Consolidating HPC and Commodity Workloads
Abstract: Cloud Computing holds great promise for High Performance Computing (HPC), and accordingly a large amount of work has explored the use of current cloud service architectures for running HPC applications. While the allure of cloud based HPC systems is very compelling, there are still a number of issues that prevent the cloud from becoming a truly viable HPC platform. In particular, application performance has been found to suffer from competing workloads, randomized layouts and node assignments, as well as competing network flows. All of these issues arise from the fact that HPC applications are forced to share and compete for resources along with a wide variety of other commodity applications. Unfortunately, the presence of these competing workloads is critical to the success of the cloud model, which relies on the economics of leveraging shared resources. While this inherent tension has so far acted as a barrier to the deployment of HPC applications in the cloud, we claim that it can be overcome using multiple specialized system software stacks that are capable of providing isolated partitions for co-located workloads.
In this talk I will present examples of this approach currently being developed at the University of Pittsburgh.
Please click the "More Info" link above.