9:30 AM -- 11:00 AM, Saturday, 26th Nov.

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 describe experiences creating abstractions, system design principles, optimization techniques and automation methodologies for graph computing, across different layers of the system stack, including both software and hardware.
As I will demonstrate, despite the complex computational and data access behaviors in graph algorithms, 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.