PhD Seminar • Artificial Intelligence — Learning Filters for the 2D Wavelet Transform
Daniel Recoskie, PhD candidate
David R. Cheriton School of Computer Science
Daniel Recoskie, PhD candidate
David R. Cheriton School of Computer Science
Xinan Yan, PhD candidate
David R. Cheriton School of Computer Science
Meng Tang, PhD candidate
David R. Cheriton School of Computer Science
Ivana Kajić, PhD candidate
David R. Cheriton School of Computer Science
Alex C. Williams, PhD candidate
David R. Cheriton School of Computer Science
Babar Naveed Memon, Master’s candidate
David R. Cheriton School of Computer Science
Remote Direct Memory Access (RDMA) can be used to implement a shared storage abstraction or a shared nothing abstraction for distributed applications. We argue that the shared storage abstraction is an overkill for loosely coupled applications and that the shared nothing abstraction does not leverage all the benefits of RDMA.
Saman Barghi, PhD candidate
David R. Cheriton School of Computer Science
Marijn Heule, Research Assistant Professor
University of Texas at Austin
Progress in satisfiability (SAT) solving has enabled answering long-standing open questions in mathematics completely automatically, resulting in clever though potentially gigantic proofs. We illustrate the success of this approach by presenting the solution of the Boolean Pythagorean triples problem. We also produced and validated a proof of the solution, which has been called the "largest math proof ever."
Xiao-Bo Li, PhD candidate
David R. Cheriton School of Computer Science
Edward Zulkoski, PhD candidate
David R. Cheriton School of Computer Science