Top 10 C Optimization Projects

coz

7 3,407 5.8 C

Coz: Causal Profiling

Project mention: Performance analysing tools | reddit.com/r/cpp_questions | 2023-03-10

Coz. It's in a Debian package so you don't have to build it. Watch the video embedded in the page I linked; I;m all about profiling, but the devil is if you're not a statistician, you don't know how to read profiler results.
blis

4 1,484 7.5 C

BLAS-like Library Instantiation Software Framework

Project mention: Column Vectors vs. Row Vectors | news.ycombinator.com | 2022-10-27

Here's BLIS's object API:
https://github.com/flame/blis/blob/master/docs/BLISObjectAPI...
Searching "object" in BLIS's README (https://github.com/flame/blis) to see what they think of it:
"Objects are relatively lightweight structs and passed by address, which helps tame function calling overhead."
"This is API abstracts away properties of vectors and matrices within obj_t structs that can be queried with accessor functions. Many developers and experts prefer this API over the typed API."
In my opinion, this API is a strict improvement over BLAS. I do not think there is any reason to prefer the old BLAS-style API over an improvement like this.
Regarding your own experience, it's great that using BLAS proved to be a valuable learning experience for you. But your argument that the BLAS API is somehow uniquely helpful in terms of learning how to program numerical algorithms efficiently, or that it will help you avoid performance problems, is not true. It is possible to replace the BLAS API with a more modern and intuitive API with the same benefits. To be clear, the benefits here are direct memory management and control of striding and matrix layout, which create opportunities for optimization. There is nothing unique about BLAS in this regard---it's possible to learn these lessons using any of the other listed options if you're paying attention and being systematic.
InfluxDB

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acados

2 456 7.8 C

Fast and embedded solvers for nonlinear optimal control

Project mention: How to understand Model Predictive Control | reddit.com/r/ControlTheory | 2022-04-22

I would check out CasADi (specifically the opti framework) and or ACADOS. To code up a quick MPC in general is not hard, but to squeeze efficiency and exploit sparsity for good real-time performance is a little more involved and these tools really help with that.
libfirm

2 387 0.0 C

graph based intermediate representation and backend for optimising compilers

Project mention: Do you consider LLVM a complicated software? And are there any alternatives and how they compare to LLVM? | reddit.com/r/ProgrammingLanguages | 2022-12-29

An alternative: LibFirm but it's much simpler and feature-poor.
FastDoom

5 238 2.1 C

Doom port for DOS, optimized to be as fast as possible!

Project mention: Not Doom but its Wolfenstein 3D at CGA 8088 by James Howard | reddit.com/r/itrunsdoom | 2023-01-10
siconos

0 135 6.4 C

Simulation framework for nonsmooth dynamical systems
fast_zlib

0 125 0.0 C

Heavily optimized zlib compression algorithm
SonarLint

www.sonarlint.org
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d32xr

2 101 3.0 C

A modern port of Doom for the Sega 32X

Project mention: Adaptive Texture Cache | news.ycombinator.com | 2023-02-27
pg_plan_advsr

0 73 3.4 C

PostgreSQL extension for automated execution plan tuning
Aha

1 55 2.0 C

Tweaked version of "Aha" - "A Hacker's Assistant" superoptimiser by Henry S. Warren (by dpt)

Project mention: strop v0.1.1 | reddit.com/r/rust | 2022-09-05

This is a library. It is not a stand-alone application, though it used to be. I want to create an example program that demonstrates its use sometime, which will probably be something like Aha. But this is a separate project on the Sometime Later list.

NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020). The latest post mention was on 2023-03-10.