Colloquium Details
Faculty Research Topics
| Author: | Assistant Professor Xiaodi Wu and Professor Allen Malony University of Oregon Computer and Information Science Department |
|---|---|
| Date: | November 05, 2015 |
| Time: | 15:30 |
| Location: | 220 Deschutes |
Abstract
This week we host an introduction to faculty research topics. We encourage all faculty members and PhD students to attend and hope these presentations would help students meet faculty members and get exposed to the full range of the research portfolio in our department. We feature the following two speakers this week:
Presentation Title #1
"Topics in the Theoretical Aspect of Quantum Information and Computation" by Assistant Professor Xiaodi Wu
Abstract
In the talk, I will briefly introduce and survey the recent progress on quantum information and computation, and then focus on the topics that I am interested in and have been working on recently. These topics ranges from something very computer science, e.g., how to design cryptographic systems resilient to quantum attacks, to something very physics, e.g., how to resolve paradoxes about the black holes.
Presentation Title #2
"From Performance Observation to Dynamic Adaptation" by Professor Allen MalonyAbstract
Since the beginning of ``high-performance'' parallel computing, observing and analyzing performance for purposes of finding bottlenecks and identifying opportunities for improvement has been at the heart of delivering the performance potential of next-generation scalable systems.
The talk will explore how future parallel systems with high degrees of concurrency, heterogeneous components, dynamic runtime environments, asynchronous execution, and power constraints suggests a new perspective will be needed on the role of performance observation and analysis in respect to tool technology integration and performance optimization methods. It will give a brief retrospective on performance tool evolution, setting the stage for current research projects where a new performance perspective is being pursued. It will also speculate on what might be included in next-generation parallel systems hardware, specifically to make the exascale machines more performance-aware and dynamically-adaptive.