tunemygc
GC optimizer
An optimization tool for Ruby's garbage collector to improve performance and memory usage in large applications
TuneMyGC - optimal MRI Ruby 2.1+ Garbage Collection
346 stars
12 watching
25 forks
Language: Ruby
last commit: almost 4 years ago
Linked from 1 awesome list
Related projects:
Repository | Description | Stars |
---|---|---|
peek/peek-gc | Provides visibility into garbage collection performance of Rails applications. | 11 |
tmm1/gctools | Provides a GC profiler/logger and Object-Oriented Garbage Collection (OOGC) implementation for Ruby 2.1 | 257 |
jmrichardson/tuneta | Automates optimization of technical indicators for machine learning models in finance | 413 |
manageiq/optimist | An option parser generator for Ruby that simplifies command-line interface development with automatically generated help pages and sensible defaults. | 252 |
rubocop/rubocop-performance | Analyzes code performance and provides suggestions for optimization | 685 |
facebookresearch/compilergym | A reinforcement learning environment library for compiler optimization tasks | 914 |
jiangoforit/yellowfin_pytorch | An optimizer that automatically tunes momentum and learning rate using local quadratic approximation. | 287 |
max22-/uxnbruteforce | Automates the construction of optimized UXN code by searching through all possible combinations to find the most efficient solution. | 8 |
ko1/gc_tracer | Tools for tracing and monitoring Ruby garbage collector activities | 307 |
stormraiser/gan-weight-norm | Improves the performance of Generative Adversarial Networks by normalizing weights and batch data | 181 |
damirsvrtan/fasterer | Tools for optimizing Ruby code performance | 1,812 |
gpleiss/efficient_densenet_pytorch | An implementation of DenseNets optimized to save GPU memory by using checkpointing | 1,521 |
dmlc/mxnet-memonger | A tool for optimizing deep learning models to reduce memory usage without sacrificing performance | 308 |
davisyoshida/lorax | A JAX transform that simplifies the training of large language models by reducing memory usage through low-rank adaptation. | 132 |
mengrao/str | An optimized string class with an adaptive hash table for fast searching and comparisons | 125 |