generic sparse data structures on gpus | sungwoo jeong & ranjan anantharaman | juliacon 2019
Published Streamed 5 years ago • 741 plays • Length 11:01Download video MP4
Download video MP3
Similar videos
-
29:18
porting a massively parallel multi-gpu application to julia | ludovic räss | juliacon 2019
-
3:05:21
gpu programming in julia | workshop | juliacon 2021
-
57:29
image processing for light microscopy - jérôme boulanger
-
19:28
juliacon 2020 | dynamicgrids.jl: high-performance spatial simulations in julia | rafael schouten
-
8:03
hpc sparse linear algebra in julia with... | f verdugo, af martin huertas | juliacon 2022
-
7:19
exploiting structure in kernel matrices | sebastian ament, john paul ryan | juliacon 2021
-
13:51
guaranteed constrained and unconstrained global optimisation in julia | d.p. sanders | juliacon 2019
-
38:54
viral shah: the present and future of sparse matrices in julia
-
27:31
accelerating julia kernels with arrayfire.jl | ranjan anantharaman | juliacon 2016
-
12:09
timeroutputs.jl: a cheap and cheerful instrumenting profiler | kristoffer carlsson | juliacon 2019
-
10:02
tsml (time series machine learning) | paulito palmes | juliacon 2019