If you have a large collection of data and have to do similar computations on each element, data parallelism is an easy way to speedup computation using multiple CPUs and machines as well as GPU(s). While this is not the only kind of parallelism, it cover... (more…)

Hello! Last week I posted a small programming challenge to write a tiny window manager that bounces windows around the screen. (more…)

Researchers often need to create complex visualizations, that go far beyond a single axis or a simple subplot grid. This is especially true for graphics meant for publication, which are held to a higher aesthetic standard. Still, most commonly used plotti... (more…)

R is a widely used language for data science, but due to performance most of its underlying library are written in C, C++, or Fortran. Julia is a relative newcomer to the field which has busted out since its 1.0 to become one of the top 20 most used langu... (more…)

Efficient transducers for Julia. Contribute to tkf/Transducers.jl development by creating an account on GitHub. (more…)