YouTube Excerpt: Multicore parallel computing is becoming of increasing import to scientific users, as most of moore's scaling has arisen from parallel execution rather than clock speed. Consequently, scientific users have placed higher and higher emphasis on parallelism in their programs, but their languages make this difficult with extensive use of mutable state and associated thinking. Trevor McDonell talks about progress in applying functional ideas to this scientific, numerical, problem space. Presenter: Trevor McDonell Part of the Functional High-Performance and Numerical Computing (FHPNC) 2019 (https://icfp19.sigplan.org/home/FHPNC-2019#About), at ICFP'19 (https://icfp19.sigplan.org/).
Multicore parallel computing is becoming of increasing import to scientific users, as most of moore's scaling has arisen from parallel execution...
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