Performance Tips (Julia)

The Julia Language Docs have a great page on performance tips.  It’s worth a read, but the writing is aimed more towards a computer scientist than a data scientist. Here we’ll cover some easy performance wins. We find the best way to code in Julia is to:… Read more


GPU-accelerated ODE solving in R with Julia

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…)

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BPFTrace and Julia

BPFTrace is an observability tool inspired by DTrace for Linux. It uses the eBPF infrastructure in the Linux kernel to implemented lightweight tracing of the kernel and applications. This note is written from a Linux perspective, but much of this should h... (more…)

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