Search Results for "high performance computing"
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Showing 13 open source projects for "high performance computing"
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Megatron-LM
Ongoing research training transformer models at scale
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. ... -
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The School Management Software is a desktop-based application designed to operate both online and offline. Its offline capability ensures fast and reliable performance without internet dependency. The software streamlines school operations, including attendance, fee management, and academic records, enhancing efficiency. Its dual-mode functionality makes it versatile, ensuring smooth operation in various scenarios while maintaining high speed and reliability.
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ThinkJulia.jl
Port of the book Think Python to the Julia programming language
...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. ... -
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ixy-languages
A high-speed network driver written in C, Rust, C++, Go, C#, Java
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... -
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Finite Transform Library
A Library is for Finite Transforms
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. -
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JCSprout
Basic, concurrent algorithm
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... -
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A Whirlwind Tour of Python
The Jupyter Notebooks behind my OReilly report
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... -
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Learning to Learn in TensorFlow
Learning to Learn in TensorFlow
...Using TensorFlow, it defines a meta-optimizer model that learns by observing and adapting to the optimization trajectories of other models. The project allows users to compare performance between traditional optimizers and the learned optimizer (L2L) on various benchmarks, demonstrating how optimization strategies can be learned through experience. The design supports both single-variable and high-dimensional problems, and includes tools for evaluating how well a learned optimizer performs on unseen tasks. -
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OpSim - Open Source Process Simulator
An open source process simulator
**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. -
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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.
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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.
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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)
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TouchFlowPro
Elite typing engine with fatigue-aware analytics for professionals.
TouchFlow Pro is a high-performance typing training platform designed for Medical, Legal, and Tech professionals. Breaking the "OK Plateau" requires more than games; it requires data-driven drills, kinesthetic memory encoding, and real-time fatigue monitoring. Our engine tracks your burst-to-drift ratio to detect cognitive fatigue before your error rate spikes, ensuring every minute of practice is high-quality.
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