Let The Compiler Do The Work - Cliffle
Back to basics: a simple idiomatic version From the original C program, we inherited a bunch of optimizations. Let’s undo them, and implement the essential algorithm without making too many assumptions. Because the algorithm can be implemented with a few simple loops, processing array elements that don’t depend on one another, it’s an excellent candidate for auto-vectorization. Rusty bits I’m stic
Removing the Linux /dev/random blocking pool [LWN.net]
The random-number generation facilities in the kernel have been reworked some over the past few months—but problems in that subsystem have been addressed over an even longer time frame. The most recent changes were made to stop the getrandom() system call from blocking for long periods of time at system boot, but the underlying cause was the behavior of the blocking random pool. A recent patch set
GitHub - DoctorWkt/acwj: A Compiler Writing Journey
In this Github repository, I'm documenting my journey to write a self-compiling compiler for a subset of the C language. I'm also writing out the details so that, if you want to follow along, there will be an explanation of what I did, why, and with some references back to the theory of compilers. But not too much theory, I want this to be a practical journey. Here are the steps I've taken so far:
ML Ops: Machine Learning as an Engineering Discipline
So, your company decided to invest in machine learning. You have a talented team of Data Scientists churning out models to solve important problems that were out of reach just a few years ago. All performance metrics are looking great, the demos cause jaws to drop and executives to ask how soon you can have a model in production. It should be pretty quick, you think. After all, you already solved
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GitHub - zakirullin/tiny-compiler: A tiny compiler for a language featuring LL(2) with Lexer, Parser, ASM-like codegen and VM. Complex enough to give you a flavour of how the "real" thing works whilst not being a mere toy example
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