Time: 2-6 PM, March 2
Location: To be assigned
Graphs are a tool used to model the interactions between various entities. Quickly processing very large graphs have gain extensive attention and increasing importance today. Researchers have studied parallel graph processing on various platforms, including but not limited to multi-core CPUs, GPUs, distributed clusters, supercomputers, and FPGAs. The complication also comes from numerous graph applications, ranging from the classic graph problems all the way to clustering, classification, pattern machine, machine learning, and more.
This workshop brings together top researchers in the area of large-scale parallel graph processing. The goal is to share their results on new problems, models, algorithms, frameworks, software, and more importantly, future challenges in the area.
Tentative Speakers
- Umit V. Catalyurek (Georgia Institute of Technology)
- Laxman Dhulipala (The University of Maryland)
- Rajiv Gupta (UC Riverside)
- Richard W. Vuduc (Georgia Institute of Technology)
- Da Yan (Indiana University)
More information about the speakers and talks can be found here.
Workshop Schedule
The detailed schedule will be available soon.
Organizers
If you have any questions, please contact ygu@cs.ucr.edu or yihans@cs.ucr.edu