accelerating julia kernels with arrayfire.jl | ranjan anantharaman | juliacon 2016
Published 8 years ago • 3.3K plays • Length 27:31Download video MP4
Download video MP3
Similar videos
-
5:36
presolve routines for optimization problems | m. ramchandran | juliacon 2016
-
10:50
automatically deriving test data for julia functions | simon poulding | juliacon 2017
-
30:17
the new circuitscape in julia: modern, fast and scalable | ranjan a | juliacon 2018 |
-
25:52
infiniteexamodels.jl: accelerating infinite-dimensional optimization problems on cpu & gpu
-
26:33
jet questions 70
-
18:55
juliacon 2020 | auto-optimization and parallelism in differentialequations.jl | chris rackauckas
-
2:40
julia in 100 seconds
-
1:02:06
performance benchmarking in julia
-
5:44
juliacon 2016 | parallelized graph processing in julia | pranav thulasiram bhat
-
40:51
kiran pamnany and ranjan anantharaman: multi-threading julia
-
46:36
keynote an overview of arrays and iteration in julia | tim holy | juliacon 2016
-
8:39
exprtools: metaprogramming from reflection | frames catherine white | juliacon2021
-
32:08
on solving optimal control problems with julia | caillau, cots, gergaud, martinon | juliacon 2023
-
29:47
julia 1.0 | stefan karpinski | juliacon 2016
-
18:38
using julia as a quick and dirty code generator | arch d. robison | juliacon 2016
-
13:54
the new disjunctiveprogramming.jl
-
29:08
hpat.jl: easy and fast big data analytics | ehsan totoni | juliacon 2016