Squint

Instruction reducer

An optimizer for stack VM compilers that reduces the number of executable instructions in compiled code

Squint: A peephole optimizer for stack VM compilers

GitHub

25 stars
2 watching
1 forks
Language: C
last commit: 2 months ago
Linked from 1 awesome list

c-compilercompilerdynamic-linkingelf-binariesfloating-pointjit-compileroptimizing-compilerpeephole

Backlinks from these awesome lists:

Related projects:

Repository Description Stars
inequation/spirv-tools-custom-opt-passes A collection of custom optimization passes for improving the performance of SPIRV-Tools 1
slorber/rereduce A Redux reducer library that optimizes state management by memoizing and linking dependencies between reducers. 163
hyperopt/hyperopt-sklearn Automates search for optimal parameters in machine learning algorithms. 1,588
stunkymonkey/osm_ch A tool that uses graph contraction hierarchies to speed up shortest path calculations on OpenStreetMap data 17
clip-hpc/slurmcommander A lightweight TUI for managing Slurm jobs and clusters 60
jiangoforit/yellowfin_pytorch An optimizer that automatically tunes momentum and learning rate using local quadratic approximation. 287
castorini/honk Reimplemented PyTorch model of Google's keyword spotting algorithm 513
sigkill79/sts A header-only library for optimizing vertex cache sizes of triangles. 62
google-research/sputnik A library of optimized GPU kernels for sparse matrix operations used in deep learning. 249
wxywhu/srdensenet-pytorch A PyTorch implementation of an image super-resolution model based on dense skip connections. 119
rucaibox/comvint Creating synthetic visual reasoning instructions to improve the performance of large language models on image-related tasks 18
hengruo/qanet-pytorch An implementation of QANet with PyTorch for text classification tasks 345
foonathan/tiny A C++11 library for minimizing the size of types by using bit-twiddling and other low-level techniques. 110
wooorm/stmr.c A C implementation of a stemming algorithm to reduce words to their base form 39
claesenm/optunity A collection of algorithms for hyperparameter optimization in machine learning models 416