No single Automatic Differentiation (AD) system is the optimal choice for all problems. This means informed selection of an AD system and combinations can be a problem-specific variable that can greatly impact performance. In the Julia programming languag... (more…)

  Written in the productivity language Julia, the Celeste project—which aims to catalogue all of the telescope data for the stars and galaxies in in t... (more…)

General Matrix Multiplication or GEMM kernels take center place in high performance computing and machine learning. Recent NVIDIA GPUs include GEMM accelerators, such as NVIDIA’s Tensor Cores. In this paper we show how it is possible to program these acce... (more…)

There are three big parts of this release: support for proxying certain panels through an SSH server, support for three new scripting languages, and usability improvements when working with many megabytes of data. (more…)

Python is the most popular "other" programming language among developers using Julia for data-science projects. (more…)