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Performance models for CUDA streams on NVIDIA GeForce series

Juan Gomez-Luna, Jose Maria Gonzalez-Linares, Jose Ignacio Benavides, Nicolas Guil

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 GTS, nVidia GeForce 9800 GX2, nVidia GeForce GTX 260, nVidia GeForce GTX 280, nVidia GeForce GTX 480, nVidia GeForce GTX 580, Performance

July 9, 2012 by hgpu

Elastically Deformable Models based on the Finite Element Method Accelerated on Graphics Hardware using CUDA

Mickeal Verschoor, Andrei C. Jalba

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Tags: Computer science, CUDA, FEM, Finite element method, nVidia, nVidia GeForce GTX 570, Sparse matrix

July 9, 2012 by hgpu

Intensity model with blur effect on GPUs applied to large-scale star simulators

Chao Li, Yun-Quan Zhang, Changwen Zheng, Xiaohui Hu

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Package

July 9, 2012 by hgpu

Complete PISO and SIMPLE solvers on Graphics Processing Units

Tadeusz Tomczak, Katarzyna Zadarnowska, Zbigniew Koza, Maciej Matyka, Aukasz Miroslaw

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Tags: Algorithms, Computer science, CUDA, Navier-Stokes equations, NSEs, nVidia, Tesla C2070

July 9, 2012 by hgpu

Fast GPU Garment Simulation and Collision Detection

Tzvetomir I. Vassilev, Bernhard Spanlang

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Tags: Algorithms, ATI, ATI Radeon HD 4850, Collision detection, Computer science, GLSL, nVidia, nVidia GeForce GTX 460, nVidia GeForce GTX 560 M, OpenGL

July 8, 2012 by hgpu

Interactive BRDF Estimation for Mixed-Reality Applications

Martin Knecht, Georg Tanzmeister, Christoph Traxler, Michael Wimmer

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Tags: Augmented reality, Computer science, DirectX, nVidia, nVidia GeForce GTX 580, Rendering

July 8, 2012 by hgpu

Utilizing GPGPU in Computer Emulation

Peter Jakubco, Slavomir Simonak

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Tags: ATI, ATI Radeon HD 6570, Computer science, OpenCL, Package

July 8, 2012 by hgpu

Fast algorithm of ray tracing based on KD-tree structure

Yuanlong Wang, Ping Guo

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Tags: Algorithms, Computer science, CUDA, KD-tree, nVidia, nVidia GeForce GTX 470, Raytracing

July 7, 2012 by hgpu

Efficient Parallel RSA Decryption Algorithm for Many-core GPUs with CUDA

Yu-Shiang Lin, Chun-Yuan Lin, Der-Chyuan Lou

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 260, Security, Tesla C2050, Tesla S1070

July 7, 2012 by hgpu

Parallel Particle Swarm Optimization on Graphical Processing Unit for Pose Estimation

Vincent Roberge, Mohammed Tarbouchi

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 560 Ti

July 7, 2012 by hgpu

Sparselet Models for Efficient Multiclass Object Detection

Hyun Oh Song, Stefan Zickler, Tim Althoff, Ross Girshick, Mario Fritz, Christopher Geyer, Pedro Felzenszwalb, Trevor Darrell

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 580 M

July 6, 2012 by hgpu

Parallel Memory Defragmentation on a GPU

Ronald Veldema, Michael Philippsen

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Tags: Algorithms, Computer science, CUDA, Memory model, nVidia, nVidia GeForce GTX 560 Ti, Performance, Storage system

July 6, 2012 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

Performance models for CUDA streams on NVIDIA GeForce series

Elastically Deformable Models based on the Finite Element Method Accelerated on Graphics Hardware using CUDA

Intensity model with blur effect on GPUs applied to large-scale star simulators

Complete PISO and SIMPLE solvers on Graphics Processing Units

Fast GPU Garment Simulation and Collision Detection

Interactive BRDF Estimation for Mixed-Reality Applications

Utilizing GPGPU in Computer Emulation

Fast algorithm of ray tracing based on KD-tree structure

Efficient Parallel RSA Decryption Algorithm for Many-core GPUs with CUDA

Parallel Particle Swarm Optimization on Graphical Processing Unit for Pose Estimation

Sparselet Models for Efficient Multiclass Object Detection

Parallel Memory Defragmentation on a 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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