Search Results for "high performance computing"

Megatron-LM is a GPU-optimized deep learning framework from NVIDIA designed to train extremely large transformer-based language models efficiently at scale. The repository provides both a reference training implementation and Megatron Core, a composable library of high-performance building blocks for custom large-model pipelines. It supports advanced parallelism strategies including tensor, pipeline, data, expert, and context parallelism, enabling training across massive multi-GPU and multi-node clusters. The framework includes mixed-precision training options such as FP16, BF16, FP8, and FP4 to maximize performance and memory efficiency on modern hardware. ...

...Downey into the Julia programming language, with contributions by Ben Lauwens. It provides a comprehensive introduction to programming and computational thinking using Julia’s modern, high-performance features. The book is structured to gradually teach core concepts such as variables, control flow, functions, recursion, object-oriented programming, and data structures, while offering hands-on exercises to reinforce each topic. By combining clear explanations with practical examples, the project helps both beginners and experienced programmers transition to Julia. ...

ixy-languages is a repository exploring the implementation of the ixy network driver (originally written in C) in multiple programming languages, showing how the same core logic can be expressed across language boundaries. The ixy driver is a minimal DPDK-based user-space NIC driver intended for education, demonstration, and controlled experimentation. This project reimplements the ixy driver architecture in Rust, Go, C++, Zig, and possibly other languages, maintaining the same driver...

The Library is for Finite Transforms such as the Number Theoretic Transform (NTT) and Finite Radon Transform (FRT). Current modules include NTTW for NTTs with high resolution (microsecond) timing, basic array and imaging. The transforms are optimised for performance.

JCSprout is a curated learning path for Java engineers that mixes concise notes, diagrams, and runnable examples to cover core computer science and JVM topics. It walks readers through data structures and algorithms, networking fundamentals, Java concurrency, JVM memory model and GC, and common interview problem patterns. The repository emphasizes understanding over memorization, linking conceptual summaries with small code artifacts that can be compiled and profiled. It also highlights best...

A Whirlwind Tour of Python is a concise but fast-paced introduction to core Python concepts, created by Jake VanderPlas as a companion to his work in scientific computing and data science. It consists of a series of Jupyter notebooks that walk through syntax, semantics, control flow, data structures, functions, errors, iterators, list comprehensions, generators, modules, strings, regular expressions, and a short preview of data science tools. The material is aimed at people who already know...

**19-OCT-2017 PROJECT MOVED TO GITHUB** OpSim is an open source Chemical Engineering Process Simulator with a user friendly drag-and-drop graphical user interface (GUI) and an underlying high performance simulation engine.

foo is a sound synthesis framework which provides high-level abstracted ways of creating and manipulating sounds via a scheme language interface. foo is designed for highest audio quality rather than highest performance.

JMS/Joram implementation of the Bully election algorithm. It is a library to be used by a process' implementation to make it transparently manage coordinator's elections, while it carries out business logic. A sample application is included.

VL-1 is High Performance Computing Middleware designed for the domain experts/researchers/Teachers who want to focus more on their problem then finding out ways of how to implement their problem.

High-performance computing code and libraries used in the High Performance Computing subject in Telecommunications Engineering at the University of Granada (http://geneura.ugr.es/~jmerelo/asignaturas/AAP)