Printf helper

One of the first and most repetitive tasks for doPrintf is to find % in a string. Right now, this is just iterating one character after another. This is very simple to parallelize using data parallelism and would look like the code below.

Why Data Parallelism Matters in Go

Go is a fast language, but it lacks easy ways to express data parallelism and does not provide direct access to low-level SIMD (Single Instruction Multiple Data) instructions. As a result, standard libraries like base64, hex, utf8, json, jpeg, and map are slower than expected. Other ecosystems are more likely to adopt specialized, high-performance libraries, which is why, in some cases, for example, Node.js can outperform Go.

The solution to this bottleneck is for the Go compiler to generate SIMD instructions. There are three main approaches to enabling SIMD in programming languages:

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Much has been written about these emotional and logistical challenges. However, one crucial aspect remains underexplored: the impact of layoffs on technical debt and how it evolves in downsized teams.