Julia: A third perspective - parallel computing explained Published 2020-03-12 Download video MP4 360p Recommendations 1:08:25 Julia: Parallel computing revisited 40:28 Modern Approaches to Profiling in Python with Scalene 54:55 Modern Fortran: Concurrency and Parallelism 04:52 Stanford's FREE data science book and course are the best yet 59:57 Parallelizing Data Science with Julia 41:28 4 Programming Paradigms In 40 Minutes 25:14 .NET Framework vs .NET Core vs .NET vs .NET Standard vs C# 16:36 An Illustrated Guide to OAuth and OpenID Connect 55:08 CUDA, ROCm, oneAPI – All for One or One for All? 02:25 C in 100 Seconds 1:54:02 Julia for Economists 2022: Performance 52:07 Multi-Threading Using Julia for Enterprises 33:04 Rapidly Iterating from Prototype to Near-C Performance in Julia 06:57 Type-Stable Code in Julia 21:12 Parallel Computing on Your Own Machine | Week 8 | 18.S191 MIT Fall 2020 Similar videos 36:14 JuliaCon 2018 | Parallel Computing with MPI-3 RMA and Julia | Bart Janssens 28:48 JuliaCon 2017 | Parallel Computing for Macroeconomic Forecasting ... | Pearl Li 57:48 Julia: A second perspective 10:01 JuliaCon 2020 | Sponsor Talk: Effortless Parallel Computing on JuliaHub | Julia Computing 25:23 [08x04] Intro to Julia Multi-Processing (It's not the same as Multi-Threading!) 1:20:57 Optimizing Serial Code in Julia 1: Memory Models, Mutation, and Vectorization 1:57:51 JuliaCon 2016 | Parallel Computing (Workshop) | Julia Lab at MIT 28:09 Parallel Computing: From SIMD to SIMT 1:07:04 Parallel Julia webinar 1:32:54 The Basics of Single Node Parallel Computing 38:00 Amit Murthy: Cluster Managers and parallel julia More results