When: Thursday, February 23rd, 1:30-2:30PM
Where: Woodward 216

Abstract:
Numerous applications in social networks, e-commerce, biomedicine and security, are driven by graph algorithms.
The graph data is massive and sparse, which poses great challenges in computing system design.
In this talk, I will discuss the approach known as domain specific computing, to address this challenge.
I will describe software and hardware system design principles and optimization techniques for graph computing, across different layers of the system stack.
As I will demonstrate, cross-layer system specialization can effectively unlock the potential of graph computing.

Bio:
Xuhao Chen is a Research Scientist at MIT CSAIL, working with Prof. Arvind.
Dr. Chen is broadly interested in parallel systems and architectures, with a focus on AI and big-data applications.
His recent work aims to democratize Graph AI by designing efficient algorithms, software systems and hardware accelerators.
His work has been published in OSDI, ISCA, MICRO, VLDB, ICS, etc.