fast, faster, julia: high performance implementation of the nfft | tobias knopp | juliacon 2022
Published 2 years ago • 2K plays • Length 27:47Download video MP4
Download video MP3
Similar videos
-
24:00
fast forward and reverse-mode differentiation via enzyme.jl | many speakers | juliacon 2022
-
8:11
automatic differentiation for solid mechanics in julia | andrea vigliotti | juliacon 2022
-
7:12
jump and highs: the best open-source linear optimization solvers | julian hall | juliacon 2022
-
2:19:31
julia for high-performance computing | juliacon 2022
-
32:32
improvements in package precompilation | tim holy & valentin churavy | juliacon 2022
-
24:52
advances in transformations and nlp modeling for infiniteopt.jl | joshua pulsipher | juliacon 2022
-
2:19:31
julia for high-performance computing | juliacon 2022
-
1:36:50
juliacon 2022 live session day 3 (husain attarwala, relational ai, state of julia, etc)
-
44:04
keynote (day 2). what makes a programming language successful? | jeremy howard | juliacon 2022
-
2:53:20
getting started with julia and machine learning | anthony blaom, samuel | juliacon 2022
-
23:18
fast optimization via randomized numerical linear algebra | theo diamandis | juliacon 2022
-
25:10
the juliasmoothoptimizers (jso) organization | dominique orban | juliacon 2022
-
8:07
simple chains: fast cpu neural networks | chris elrod | juliacon 2022
-
1:02:06
performance benchmarking in julia
-
29:13
julia's extensible high performance sorting pipeline | lilith hafner | juliacon 2023
-
8:16
teaching with julia (my experience) | daniel molina | juliacon 2022
-
7:28
tintinet.jl: a language model for protein 1d property... | guilherme fahur bottino | juliacon 2022
-
7:51
genify.jl: transforming julia into gen for bayesian inference | xuan (tan zhi xuan) | juliacon2021
-
13:22
type stability in julia: avoiding performance pathologies in jit compilation