A new extension for the Julia programming language for mathematical computing enhances the Julia compiler to generate native code for CUDA GPUs... (more…)

Simple Traveling Salesman Problem implementation in Julia - GitHub - PiotrZakrzewski/julia-tsp: Simple Traveling Salesman Problem implementation in Julia... (more…)

One of the most impressive features of Julia is that it lets you write generic code. Julia’s powerful LLVM-based compiler can automatically generate highly efficient machine code for base functions and user-written functions alike, on any architecture sup... (more…)

This is a wonderful development! Micah Halter and Evan Patterson have taken my work on structured cospans with Kenny Courser and open Petri nets with Jade Master, together with Joachim Kock’s… (more…)

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…)