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Must read research papers and links to tools and datasets that are related to using machine learning for compilers and systems optimisation

american fuzzy lop - a security-oriented fuzzer

Useful CMake Examples

A Progam-Behavior-Guided Far Memory System

we want to create a repo to illustrate usage of transformers in chinese

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Artifact for CGO 2024 conference

Airspeed Velocity: A simple Python benchmarking tool with web-based reporting

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Inference code for Llama models

Boundary element methods in Rust

Library for specialized dense and sparse matrix operations, and deep learning primitives.

Custom-Precision Floating-point numbers.

A toolkit with data-driven pipelines for physics-informed machine learning.

Data Parallel Extension for Numba

Lecture notes for the 2022 Soellerhaus BEM Summer School

OP2: open-source framework for the execution of unstructured grid applications on clusters of GPUs or multi-core CPUs

Firedrake is an automated system for the portable solution of partial differential equations using the finite element method (FEM)

A Python Compiler Design Toolkit

OPS is an API with associated libraries and preprocessors to generate parallel executables for applications on mulit-block structured meshes.

VTK-based Data Analysis and Visualization Application

This Code is developed for simulating the 3D compressible viscous Taylor-Green Vortex Cases. The solver is developed by FORTRAN90+MPICH. The 3D domain decomposition is implemented to parallelize th…

SciPy library main repository

CFC课题组管理规定，每年从组会中总结（主要来源）。