Close

Contributor

Biography
Julian Bellavita is a Computer Science PhD student at Cornell University. He has a B.A. in Computer Science from UC Berkeley, and has previously worked as a student researcher for the CLaSS group and for the SDM group at Berkeley Lab. His main research interests include parallel sparse linear algebra algorithms and the development of parallel programming technologies that make heterogeneous accelerator clusters easier to program.
Presentations
Workshop
3:30pm - 3:54pm Monday, 13 November 2023 702
Accelerators
Artificial Intelligence/Machine Learning
Algorithms
Applications
Architecture and Networks
Distributed Computing
Compilers
Data Analysis, Visualization, and Storage
Exascale
Heterogeneous Computing
Linear Algebra
Message Passing
Performance Optimization
Programming Frameworks and System Software
Quantum Computing
Runtime Systems
Software Engineering
Sustainability
Task Parallelism
Tensors
W