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GMP implementation on CUDA – A Backward Compatible Design With Performance Tuning

Hao Jun Liu, Chu Tong

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Tags: Algorithms, Computer science, CUDA, Elementary functions, nVidia, nVidia GeForce GTX 280, Performance, Security

February 7, 2012 by hgpu

Enabling Traceability in MDE to Improve Performance of GPU Applications

Antonio Wendell De Oliveira Rodrigues, Vincent Aranega, Anne Etien, Frederic Guyomarc'H, Jean-Luc Dekeyser

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Tags: Algorithms, Computer science, nVidia, OpenCL, Performance, Programming techniques, Tesla S1070

February 7, 2012 by hgpu

Stochastic Differential Equations simulation using GPU

Narayana Darapaneni, Prakalp Somawanshi, Meghana Joshi

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Tags: Algorithms, Computer science, CUDA, Differential equations, Finance, Monte Carlo simulation, nVidia, nVidia GeForce GTX 275, Pseudo-random number generators, Stochastic simulation

February 7, 2012 by hgpu

Aggregate Gaze Visualization with Real-time Heatmaps

Andrew T. Duchowski, Margaux M. Price, Miriah Meyer, Pilar Orero

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Tags: Algorithms, Computer science, GLSL, Image generation, nVidia, nVidia GeForce 8800 GT, nVidia GeForce 8800 GTX, nVidia GeForce 9400 M, OpenGL, Rendering, Visualization

February 7, 2012 by hgpu

Realistic Lighting Simulation for Interactive VR Applications

Alexander Loffler, Lukas Marsalek, Hilko Hoffmann, Philipp Slusallek

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Tags: 3D Graphics and Realism, Computer science, nVidia, nVidia GeForce 9600 GT, OpenGL, Rasterization, Raytracing, Virtual reality

February 6, 2012 by hgpu

Towards High Speed Aerial Tracking of Agile Targets

Yassir Rizwan

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Tags: ATI, ATI Radeon HD 5870, Computer vision, Data acquisition, Earth and Space Sciences, OpenCL, Thesis

February 6, 2012 by hgpu

A Computational Model of Afterimages

Tobias Ritschel, Elmar Eisemann

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Tags: 3D Graphics and Realism, Computer science, nVidia, nVidia GeForce GTX 480, OpenGL

February 6, 2012 by hgpu

A toolkit to describe and interactively display three-manifolds embedded in four-space

Don V. Black

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Tags: Algorithms, Computer science, OpenGL, Visualization

February 6, 2012 by hgpu

Comparing Linear and Convex Relaxations for Stereo and Motion

Thomas Schoenemann

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Tags: Algorithms, Computer science, Computer vision, nVidia, Optimization, Tesla C2050

February 5, 2012 by hgpu

Accelerating Outlier Detection with Uncertain Data using Graphics Processors

Takazumi Matsumoto, Edward Hung

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Tags: Cluster analysis, Computer science, Data mining, Neural networks, nVidia, nVidia GeForce GT 440, OpenCL, Probability

February 5, 2012 by hgpu

Efficient Computation of SOM for Outage Database

Petr Gajdos, Michal Kratky, David Bednar, Radim Baca, Radomir Gono, Jiri Walder

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Tags: Computer science, CUDA, Databases, Neural networks, nVidia, Self-organizing map, Tesla C1060, Visualization

February 5, 2012 by hgpu

Performance Evaluation of Particle Swarm Optimization Algorithms on GPU Using CUDA

V. Krishna Reddy, L.S.S. Reddy

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Tags: Algorithms, Computer science, CUDA, Evolutionary Computations, nVidia, nVidia GeForce GTS 250, Optimization

February 5, 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

GMP implementation on CUDA – A Backward Compatible Design With Performance Tuning

Enabling Traceability in MDE to Improve Performance of GPU Applications

Stochastic Differential Equations simulation using GPU

Aggregate Gaze Visualization with Real-time Heatmaps

Realistic Lighting Simulation for Interactive VR Applications

Towards High Speed Aerial Tracking of Agile Targets

A Computational Model of Afterimages

A toolkit to describe and interactively display three-manifolds embedded in four-space

Comparing Linear and Convex Relaxations for Stereo and Motion

Accelerating Outlier Detection with Uncertain Data using Graphics Processors

Efficient Computation of SOM for Outage Database

Performance Evaluation of Particle Swarm Optimization Algorithms on GPU Using CUDA

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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