high performance computing on graphics processing units: hgpu.org

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Fast Estimation of Gaussian Mixture Model Parameters on GPU using CUDA

Lukas Machlica, Jan Vanek, Zbynek Zajıc

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Tags: Computer science, CUDA, Machine learning, nVidia, nVidia GeForce GTX 280, Package, Statistics and Probability

October 2, 2014 by Vanekyj

Parallel QuadTree Encoding of Large-Scale Raster Geospatial Data on Multicore CPUs and GPGPUs

Nathalie Kaligirwa, Eleazar Leal, Le Gruenwald, Jianting Zhang, Simin You

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Tags: Compression, Computer science, CUDA, Databases, nVidia, Tesla C2050

September 30, 2014 by hgpu

Harnessing GPU Computing in System-Level Software

Weibin Sun

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Package, Security, Storage system, Thesis

September 30, 2014 by hgpu

A (Somewhat Dated) Comparative Study of Betweenness Centrality Algorithms on GPU

Saad Quader

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Tags: Algorithms, Cluster computing, Computer science, CUDA, Data Structures and Algorithms, nVidia, Tesla M2050

September 30, 2014 by hgpu

Enabling Efficient Use of MPI and PGAS Programming Models on Heterogeneous Clusters with High Performance Interconnects

Sreeram Potluri

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Tags: Computer science, CUDA, Heterogeneous systems, Intel Xeon Phi, MPI, nVidia, OpenCL, Tesla, Tesla C2075, Tesla K20, Tesla M2090

September 29, 2014 by hgpu

XBOOLE-CUDA: Fast Boolean Operations on the GPU

Bernd Steinbach, Matthias Werner

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 690, Tesla C2070

September 29, 2014 by hgpu

An hybrid AES-256-GCM implementation for NEON CPU & CUDA GPU

Romain Dolbeau

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Tags: AES, Computer science, CUDA, nVidia, nVidia GeForce GT 620, Package, Security

September 28, 2014 by hgpu

A Study of the Potential of Locality-Aware Thread Scheduling for GPUs

Cedric Nugteren, Gert-Jan van den Braak, Henk Corporaal

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Tags: Computer science, CUDA, Matrix multiplication, nVidia, nVidia GeForce GTX 580, OpenCL, Task scheduling

September 28, 2014 by hgpu

NAS Parallel Benchmarks for GPGPUs using a Directive-based Programming Model

Rengan Xu, Xiaonan Tian, Sunita Chandrasekaran, Yonghong Yan, Barbara Chapman

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Tags: Benchmarking, Computer science, CUDA, MPI, nVidia, OpenACC, Tesla K20

September 28, 2014 by hgpu

Accelerating Phylogenetic Inference on GPUs: an OpenACC and CUDA comparison

Lidia Kuan, Joao Neves, Frederico Pratas, Pedro Tomas, Leonel Sousa

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 580, OpenACC, Performance, Tesla K20

September 28, 2014 by hgpu

An open source finite-difference time-domain solver for room acoustics using graphics processing units

Jukka Saarelma, Lauri Savioja

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Tags: Acoustics, Computer science, CUDA, FDTD, Finite-difference time-domain, nVidia, nVidia GeForce GTX 690, OpenGL, Package, Visualization

September 25, 2014 by hgpu

Study on semi-global matching algorithm extended for multi baseline matching and parallel processing method based on GPU

Zhaohua Liu, Yuxia Yang

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Tags: Algorithms, Computer science, CUDA, nVidia, Tesla C2050

September 25, 2014 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

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high performance computing on graphics processing units: hgpu.org

Applications

Fast Estimation of Gaussian Mixture Model Parameters on GPU using CUDA

Parallel QuadTree Encoding of Large-Scale Raster Geospatial Data on Multicore CPUs and GPGPUs

Harnessing GPU Computing in System-Level Software

A (Somewhat Dated) Comparative Study of Betweenness Centrality Algorithms on GPU

Enabling Efficient Use of MPI and PGAS Programming Models on Heterogeneous Clusters with High Performance Interconnects

XBOOLE-CUDA: Fast Boolean Operations on the GPU

An hybrid AES-256-GCM implementation for NEON CPU & CUDA GPU

A Study of the Potential of Locality-Aware Thread Scheduling for GPUs

NAS Parallel Benchmarks for GPGPUs using a Directive-based Programming Model

Accelerating Phylogenetic Inference on GPUs: an OpenACC and CUDA comparison

An open source finite-difference time-domain solver for room acoustics using graphics processing units

Study on semi-global matching algorithm extended for multi baseline matching and parallel processing method based on GPU

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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