Jonathan Beard

AI gets you to a working draft fast.

A generated answer is an abstraction over reasoning you never see.

Adding cores quietly stopped working, and Amdahl told us why forty years early: scaling stalls on the one dependency you can't parallelize away, not the resource you keep buying.

When can you abstract something away for free?

Every abstraction is borrowed complexity: a quiet debt that comes due at 3am, in the layer you chose never to learn.

How a wedding photo booth led me to a Nikon Zf, a bag of cheap vintage glass, manual focus, and a running habit of photographing tiny plastic llamas wherever work sends me.

A systems architect's questions, pointed one level up: from cores and caches to minds, institutions, and the societies they run on.

Managing Parallel, Part 4: The Machine Underneath.

One pool of storage that Linux, macOS, and Windows can all share: NFS for the compute nodes, SMB for the laptops, and the UID-alignment trick that stops NFS permissions from ruining your week.

Managing Parallel, Part 3: When Parallel Goes Wrong.

Managing Parallel, Part 2

A step by step guide to using C++ in C.

Managing Parallel, Part 1

How to use templates to build functions by type size

How to host pages with GitHub pages, use jekyll and bootstrap together to make awesome pages

The folly of inventing secure languages

Data wrangling, why should you learn basic coding?

What is stream processing and how does it relate to data-flow?

A case for more programming languages

How to get flex and bison to work together in C++

Tutorials and full code examples of how to use pipes and FIFOs to connect C/C++ compiled applications to a thread running inside a JVM using Java.

How to time software properly: from rdtsc to clock_gettime and everything in between, plus timer synchronization.