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Vector-Based and Deterministic Parallel Programming
Improving Parallel Programmability with Determinism
Stanford CS149 I Parallel Computing I 2023 I Lecture 1 - Why Parallelism Why Efficiency
Lindsey Kuper: Abstractions for Expressive, Efficient Parallel and Distributed Computing
Reactors: A Deterministic Model of Concurrent Computation for Reactive Systems
Deterministic Parallel Fixpoint Computation
Efficiency and Parallelism: The Challenges of Future Computing by William Dally
Determinism, Invited Talk, IBM PREVAIL
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Last Updated: October 18, 2026
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Presented at the 9th USENIX Symposium on Operating A video of my talk at PL-wonks on Friday, October 5, 2012. Last 5-10 minutes of the talk are missing, unfortunately. Reproducibility is important in computing, whether reproducing bug reports or scientific results. After obvious sources of ... In the latest installment of the series, Intel Principal Engineer and author Michael McCool explains the mechanisms for expressing ... Nondeterminism is a key complication in programming multicore Challenges of parallelizing code, motivations for sigops.org/sosp/sosp11/current/index.html Dissertation talk by Marten Lohstroh, PhD Candidate in Electrical Engineering and Computer Sciences, UC Berkeley, December 4 ... Presenter: Sung Kook Kim Presented at POPL'20. Part of the ECE Colloquium Series William Dally is chief scientist at NVIDIA and the senior vice president of NVIDIA research. Uncontrolled and unintended nondeterminism has been a persistent problem for concurrent,
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