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Oxford Seminars on Tensor Computation

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machine learning programming languages numerical analysis

University of Oxford

Audience:	Researchers in the topic
Seminar series time:	Friday 15:00-16:00 in your time zone, UTC
Organizers:	Jeremy Gibbons*, Peter Braam
	*contact for this listing

Upcoming talks

Past talks

Your time			Speaker	Title
Fri	Mar 11	16:00	Gabriele Keller	Accelerate: High-Performance Computing in Haskell
Fri	Mar 04	16:00	Mike Giles	Some Reflections on Automated Code Generation
Fri	Feb 25	16:00	James Demmel	Communication-Avoiding Algorithms for Linear Algebra, Machine Learning and Beyond
Fri	Feb 18	16:00	Oleg Kiselyov	Even Better Stream Fusion
Fri	Feb 11	16:00	Adam Paszke	Getting to the Point with Dex: Safe Parallel Programming for Scientific Applications
Fri	Feb 04	16:00	Sven-Bodo Scholz	Tensor Comprehensions in SaC: A Minimalistic Notation for High-Performance Computing
Fri	Jan 28	16:00	David Ham	Automating Finite Element Simulation by Generating Tensor Computations from Vector Calculus
Fri	Jan 21	16:00	Alex Aiken	Legion: Programming Distributed Heterogeneous Architectures
Fri	Dec 03	16:00	Dimitrios Vytiniotis	Automating Tensor Program Partitioning on Accelerator Systems with PartIR
Fri	Nov 26	16:00	Martin Elsman	Size-Dependent Types for Practical Data-Parallel Programming
Fri	Nov 19	16:00	Rohan Yadav	DISTAL: The Distributed Tensor Algebra Compiler
Fri	Nov 05	16:00	Markus Püschel	Program Generation for Small-Scale Linear Algebra
Fri	Oct 29	15:00	Conal Elliott	Can Tensor Programming Be Liberated from the Fortran Data Paradigm?
Fri	Oct 22	15:00	Jonathan Ragan-Kelley	Organizing Computation for High-Performance Visual Computing
Fri	Oct 15	15:00	Albert Cohen	Herding Tensor Compilers

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