Speaker:
Yan Gu(professor in University of California, Riverside)
Time:
- 10:20-11:20 (Time in Beijing)
- 15:20-16:20 (Time in Auckland)
- November 12, 2021 (Friday)
Venue:
B1-518B, Research Building 4
VooV Meeting ID: 359 812 755
Abstract:
Parallel processors are ubiquitous nowadays and it is almost impossible to
find a single-core processor, probably other than a toaster. However, very few
courses and online materials cover the basic knowledge for designing parallel
algorithms. This talk consists of two parts. The first part will overview the key idea for parallel computing and programming, such as the computational and
programming models for parallel algorithms, and the key concept of the scheduler. The second half of this talk will overview some of the most exciting advancements in parallel algorithm research in recent years, and introduce promising research topics in this scope.
Speaker Bio:
Yan Gu is an Assistant Professor in the Computer Science and
Engineering (CSE) Department at the University of California, Riverside (UCR), since 2020. Prior to that, he was a postdoc associate at MIT CSAIL in 2019. Before that, he received Ph.D. degree and Bachelor’s degree from Carnegie Mellon
University in 2018 and Tsinghua University in 2012, respectively, both in computer science. His research interest is algorithm design, broadly on both the most canonical problems, and applications in databases, machine learning, graphics, architecture, etc. He has received the Outstanding Paper Award from SPAA and Memorable Paper Award Finalist at NVMW. He is also looking for self-motivated Ph.D. students with solid math and programming background