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Utilizing massive parallelism in decoding of modern error-correcting codes for accelerating communication systems simulations

Eugen Ruzicky, Markus Rupp, Peter Farkas, Atilio Gameiro

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Tags: Algorithms, Computer science, CUDA, Error recovery, nVidia, nVidia GeForce GTX 680

November 13, 2013 by hgpu

Indexing million of packets per second using GPUs

F. Fusco, M. Vlachos, X. Dimitropoulos, L. Deri

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Tags: bitmapindexing, Compression, Indexing, nVidia, nVidia GeForce GTX 670, Thrust

November 13, 2013 by ffusco

High speed cipher cracking: the case of Keeloq on CUDA

Giovanni Agosta, Alessandro Barenghi, Gerardo Pelosi

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 470, Security

November 12, 2013 by hgpu

A Hybrid GPU/CPU FFT Library for Large FFT Problems

Shuo Chen

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Tags: Computer science, CUDA, FFT, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, Tesla C2070, Tesla C2075, Thesis

November 12, 2013 by hgpu

Performance Evaluation of R with Intel Xeon Phi Coprocessor

Yaakoub El-Khamra, Niall Gaffney, David Walling, Eric Wernert, Weijia Xu, Hui Zhang

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Source codes

Tags: Computer science, CUDA, CULA, High-level Languages, Intel Phi, Intel Xeon Phi, nVidia, Package, Performance, Tesla K20

November 12, 2013 by hgpu

GPU-Based Sparse Voxel Octree Raytracing for Rendering of Procedurally Generated Terrain

Chris Goosen

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Tags: 3D Graphics and Realism, Computer science, CUDA, nVidia, nVidia GeForce GTX 660 Ti, Raytracing, Rendering, Thesis

November 12, 2013 by hgpu

Preliminary Experiments with XKaapi on Intel Xeon Phi Coprocessor

Joao Vicente Ferreira Lima, Francois Broquedis, Thierry Gautier, Bruno Raffin

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Tags: Computer science, Factorization, Intel, Intel Phi, Intel Xeon Phi

November 11, 2013 by hgpu

A High Performance Random Number Generator Using Heterogeneous Computing Platform

Fan Li, Minglu Jin

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, nVidia, Pseudo-random number generators, Tesla C2070

November 11, 2013 by hgpu

First Steps Towards More Numerical Reproducibility

Fabienne Jezequel, Philippe Langlois, Nathalie Revol

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Tags: APU, ATI, ATI Radeon HD 7970, Computer science, Numerical simulation, nVidia, OpenCL, Tesla K20

November 11, 2013 by hgpu

Toward Better Computation Models for Modern Machines

Tomasz Jurkiewicz

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Tags: Algorithms, Computer science, CUDA, Memory model, nVidia, nVidia GeForce GTX 285, Thesis

November 10, 2013 by hgpu

Towards a Portable and Future-proof Particle-in-Cell Plasma Physics Code

R. F. Bird, S. J. Pennycook, S. A. Wright, S. A. Jarvis

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Tags: Algorithms, Computer science, nVidia, OpenCL, Particle-in-cell methods, Physics, Plasma physics, Tesla C1060, Tesla C2050, Tesla K20

November 10, 2013 by hgpu

Tiled QR Decomposition and Its Optimization on CPU and GPU Computing System

Dongjin Kim, Kyu-Ho Park

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, Matrix decomposition, nVidia, nVidia GeForce GTX 580, nVidia GeForce GTX 680

November 8, 2013 by hgpu

True 4-Bit Quantized CNN Training on CPU

True 4-Bit Quantized Convolutional Neural Network Training on CPU: Achieving Full-Precision Parity

cuFuzz: A GPU-oriented coverage-guided fuzzer for userland CUDA application

Hunting CUDA Bugs at Scale with cuFuzz

KernelSkill: A Multi-Agent Framework for GPU Kernel Optimization

MSKernelBench & CUDAMaster

Making LLMs Optimize Multi-Scenario CUDA Kernels Like Experts

EvoScientist: Harness Vibe Research with Self-evolving AI Scientists

EvoScientist: Towards Multi-Agent Evolving AI Scientists for End-to-End Scientific Discovery

RepoLaunch: Automating Build and Test Pipeline of Code Repositories on ANY Language and ANY Platform

RepoLaunch: Automating Build & Test Pipeline of Code Repositories on ANY Language and ANY Platform

RepoLaunch: Automating Build and Test Pipeline of Code Repositories on ANY Language and ANY Platform

RepoLaunch: Automating Build & Test Pipeline of Code Repositories on ANY Language and ANY Platform

CONCUR: a benchmark designed to evaluate multithreaded Java code generated by LLMs

CONCUR: Benchmarking LLMs for Concurrent Code Generation

HIPRT: Ray Tracing using HIP

Ray Tracing using HIP

MXFP4 Training Support Codebase

Practical FP4 Training for Large-Scale MoE Models on Hopper GPUs

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

Utilizing massive parallelism in decoding of modern error-correcting codes for accelerating communication systems simulations

Indexing million of packets per second using GPUs

High speed cipher cracking: the case of Keeloq on CUDA

A Hybrid GPU/CPU FFT Library for Large FFT Problems

Performance Evaluation of R with Intel Xeon Phi Coprocessor

GPU-Based Sparse Voxel Octree Raytracing for Rendering of Procedurally Generated Terrain

Preliminary Experiments with XKaapi on Intel Xeon Phi Coprocessor

A High Performance Random Number Generator Using Heterogeneous Computing Platform

First Steps Towards More Numerical Reproducibility

Toward Better Computation Models for Modern Machines

Towards a Portable and Future-proof Particle-in-Cell Plasma Physics Code

Tiled QR Decomposition and Its Optimization on CPU and GPU Computing System

Recent source codes

True 4-Bit Quantized CNN Training on CPU

cuFuzz: A GPU-oriented coverage-guided fuzzer for userland CUDA application

KernelSkill: A Multi-Agent Framework for GPU Kernel Optimization

MSKernelBench & CUDAMaster

EvoScientist: Harness Vibe Research with Self-evolving AI Scientists

RepoLaunch: Automating Build and Test Pipeline of Code Repositories on ANY Language and ANY Platform

RepoLaunch: Automating Build and Test Pipeline of Code Repositories on ANY Language and ANY Platform

CONCUR: a benchmark designed to evaluate multithreaded Java code generated by LLMs

HIPRT: Ray Tracing using HIP

MXFP4 Training Support Codebase

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