2 repositorios
Awesome GitHub RepositoriesComputational Optimizers
Techniques for accelerating matrix operations through vectorization and parallelization.
Distinct from Compute Throughput Optimizers: Distinct from graph optimizers: focuses on low-level hardware-aware acceleration of numerical kernels.
Explore 2 awesome GitHub repositories matching software engineering & architecture · Computational Optimizers. Refine with filters or upvote what's useful.
Awesome Computational Optimizers GitHub Repositories
Encuentra los mejores repositorios con IA.Buscaremos los repositorios que mejor coincidan usando IA.
- fastai/numerical-linear-algebra
fastai/numerical-linear-algebra
10,703Ver en GitHubThis project is a comprehensive library for numerical linear algebra and scientific computing, designed to provide optimized routines for matrix decomposition, statistical modeling, and high-performance data analysis. It serves as both a toolkit for solving complex linear systems and an educational resource for understanding the fundamental algorithms behind matrix factorizations and numerical solvers. The library distinguishes itself through a focus on randomized numerical linear algebra, utilizing probabilistic algorithms and approximate methods to perform dimensionality reduction and matri
Accelerates matrix operations through vectorization, parallelization, and just-in-time compilation.
Jupyter Notebookalgorithmsdata-sciencedeep-learning - android/ndk-samples
android/ndk-samples
10,513Ver en GitHubThe Android NDK samples provide a comprehensive collection of code examples demonstrating how to integrate C and C++ native code into Android applications. This repository serves as a practical guide for developers utilizing the Android Native Development Kit to implement performance-critical application components that require direct hardware access and low-level system interaction. The project highlights the use of the Java Native Interface to bridge managed code with native modules, enabling cross-language function calls and efficient data exchange. It demonstrates how to manage native act
Performs parallel data processing using advanced instruction sets to increase execution speed in low-level code.
C++
