Media Summary: In the Fall Semester 2021 at ETH Zurich, we designed and taught a new course "Solving PDEs in Join us for the prime time live session of Abstract: In this talk, we present the architecture of the NFFT.jl package, which implements the non-equidistant fast Fourier ...

Julia For High Performance Computing Juliacon 2022 - Detailed Analysis & Overview

In the Fall Semester 2021 at ETH Zurich, we designed and taught a new course "Solving PDEs in Join us for the prime time live session of Abstract: In this talk, we present the architecture of the NFFT.jl package, which implements the non-equidistant fast Fourier ... The objective of this talk is to introduce GSReg.jl, a new all-subset-regression package to perform The JuliaMolSim community is hosting a minisymposium! Come hear about AtomsBase, our project to create a unified interface for ... Have you ever wondered how many FLOPS your CPU or GPU actually performs when executing (parts of) your

Enzyme is a new LLVM-based differentiation framework capable of creating fast derivatives in a variety of languages. In this talk ... A webinar hosted by PGC's Core Facility for Bioinformatics (CFB) featuring Dr. Paulito Palmes from the IBM Dublin Research Lab, ...

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Julia for High-Performance Computing | JuliaCon 2022
Julia for High-Performance Computing | JuliaCon 2022
Teaching GPU Computing, Experiences From Our... | L Räss, S Omlin, M Werder | JuliaCon 2022
JuliaCon 2022 Live Session Day 1 (Open Remarks, Erin LeDell, Julia Computing, etc.)
JuliaCon 2022 Live Session Day 2
JuliaCon 2022 Live Session Day 1 (Open Remarks, Erin LeDell, Julia Computing, etc.)
HPC: GPUs, MPI, and Profiling at Great Speed | Julian Samaroo | JuliaCon 2023
Fast, Faster, Julia: High Performance Implementation of the NFFT | Tobias Knopp | JuliaCon 2022
GSReg.jl: High Performance Computing in Econometrics | Ungaro & Mari | JuliaCon 2018
JuliaMolSim: Computation with Atoms | Rachel Kurchin | JuliaCon 2022
Monitoring Performance on a Hardware Level With LIKWID.jl | Carsten Bauer | JuliaCon 2022
Fast Forward and Reverse-Mode Differentiation via Enzyme.jl | Many speakers | JuliaCon 2022
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Julia for High-Performance Computing | JuliaCon 2022

Julia for High-Performance Computing | JuliaCon 2022

The "

Julia for High-Performance Computing | JuliaCon 2022

Julia for High-Performance Computing | JuliaCon 2022

The "

Teaching GPU Computing, Experiences From Our... | L Räss, S Omlin, M Werder | JuliaCon 2022

Teaching GPU Computing, Experiences From Our... | L Räss, S Omlin, M Werder | JuliaCon 2022

In the Fall Semester 2021 at ETH Zurich, we designed and taught a new course "Solving PDEs in

JuliaCon 2022 Live Session Day 1 (Open Remarks, Erin LeDell, Julia Computing, etc.)

JuliaCon 2022 Live Session Day 1 (Open Remarks, Erin LeDell, Julia Computing, etc.)

Welcome to day 1 of

JuliaCon 2022 Live Session Day 2

JuliaCon 2022 Live Session Day 2

Join us for the prime time live session of

JuliaCon 2022 Live Session Day 1 (Open Remarks, Erin LeDell, Julia Computing, etc.)

JuliaCon 2022 Live Session Day 1 (Open Remarks, Erin LeDell, Julia Computing, etc.)

Welcome to day 1 of

HPC: GPUs, MPI, and Profiling at Great Speed | Julian Samaroo | JuliaCon 2023

HPC: GPUs, MPI, and Profiling at Great Speed | Julian Samaroo | JuliaCon 2023

Part of the

Fast, Faster, Julia: High Performance Implementation of the NFFT | Tobias Knopp | JuliaCon 2022

Fast, Faster, Julia: High Performance Implementation of the NFFT | Tobias Knopp | JuliaCon 2022

Abstract: In this talk, we present the architecture of the NFFT.jl package, which implements the non-equidistant fast Fourier ...

GSReg.jl: High Performance Computing in Econometrics | Ungaro & Mari | JuliaCon 2018

GSReg.jl: High Performance Computing in Econometrics | Ungaro & Mari | JuliaCon 2018

The objective of this talk is to introduce GSReg.jl, a new all-subset-regression package to perform

JuliaMolSim: Computation with Atoms | Rachel Kurchin | JuliaCon 2022

JuliaMolSim: Computation with Atoms | Rachel Kurchin | JuliaCon 2022

The JuliaMolSim community is hosting a minisymposium! Come hear about AtomsBase, our project to create a unified interface for ...

Monitoring Performance on a Hardware Level With LIKWID.jl | Carsten Bauer | JuliaCon 2022

Monitoring Performance on a Hardware Level With LIKWID.jl | Carsten Bauer | JuliaCon 2022

Have you ever wondered how many FLOPS your CPU or GPU actually performs when executing (parts of) your

Fast Forward and Reverse-Mode Differentiation via Enzyme.jl | Many speakers | JuliaCon 2022

Fast Forward and Reverse-Mode Differentiation via Enzyme.jl | Many speakers | JuliaCon 2022

Enzyme is a new LLVM-based differentiation framework capable of creating fast derivatives in a variety of languages. In this talk ...

MPI, SVE, 16-bit: Using Julia on the Fastest Supercomputer | Mosé Giordano | JuliaCon 2023

MPI, SVE, 16-bit: Using Julia on the Fastest Supercomputer | Mosé Giordano | JuliaCon 2023

As part of

Graph Computing with JuliusTech | JuliaCon 2022 | Yadong Li

Graph Computing with JuliusTech | JuliaCon 2022 | Yadong Li

Graph

#PGCTalks2021 Webinar: High Performance Computing and Data Science Workflow in Julia

#PGCTalks2021 Webinar: High Performance Computing and Data Science Workflow in Julia

A webinar hosted by PGC's Core Facility for Bioinformatics (CFB) featuring Dr. Paulito Palmes from the IBM Dublin Research Lab, ...

[08x02] Julia Performance Tips and Tools | How to use @time, @profile, @profview, @profview_allocs

[08x02] Julia Performance Tips and Tools | How to use @time, @profile, @profview, @profview_allocs

In this intermediate-level