high performance computing on graphics processing units: hgpu.org

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hgpu.org » paper

A Reverse-Projecting Pixel-Level Painting Algorithm

Gang Dang, Zhi-Quan Cheng

Tags: Algorithms, Image generation, Image processing

June 2, 2011 by hgpu

Massively Parallel Finite Element Simulator for Full-Chip STI Stress Analysis

Jiying Xue, Xiaomeng Jiao, Yangdong Deng, Hao Qian, Dajie Zeng, Guoyu Li, Zhiping Yu

Tags: CUDA, Electronic design automation, FEM, Finite element method, nVidia

June 2, 2011 by hgpu

RNA secondary structure prediction using dynamic programming algorithm – A review and proposed work

M.N. Osman, R. Abdullah, N. AbdulRashid

Tags: Biology, Macromolecule, Molecular simulation, Pharmaceuticals

June 2, 2011 by hgpu

Accelerating All-Atom Normal Mode Analysis with Graphics Processing Unit

Li Liu, Xiaofeng Liu, Jiayu Gong, Hualiang Jiang, Honglin Li

Tags: Biology, Chemistry, CUDA, Macromolecule, Molecular dynamics, nVidia, Pharmaceuticals

June 2, 2011 by hgpu

MapCG: writing parallel program portable between CPU and GPU

Chuntao Hong, Dehao Chen, Wenguang Chen, Weimin Zheng, Haibo Lin

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Tags: Computer science, CUDA, High-level Languages, MapReduce, nVidia, nVidia GeForce GTX 280, Programming techniques

June 2, 2011 by hgpu

Acceleration of LOD-FDTD Method Using Fundamental Scheme on Graphics Processor Units

Eng Leong Tan

Tags: Electrodynamics, FDTD, Finite-difference time-domain, Microwave engineering

June 2, 2011 by hgpu

Swarm’s flight: Accelerating the particles using C-CUDA

Lucas de P. Veronese, Renato A. Krohling

Tags: Algorithms, Benchmarking, Computer science, CUDA, nVidia, Optimization

June 2, 2011 by hgpu

Spherical harmonic transform on heterogeneous architectures using hybrid programming

Mikolaj Szydlarski, Pierre Esterie, Joel Falcou, Laura Grigori, Radek Stompor

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Tags: Computer science, CUDA, GPU cluster, Hybrid computing, MPI, nVidia, OpenMP, Tesla S1070

June 2, 2011 by hgpu

GPS forward model computing study on CPU/GPU co-processing parallel system using CUDA

Fukang Yin, Fengshun Lu, Xiaoqun Cao, Junqiang Song

Tags: Computational modelling, Computer science, CUDA, Earth and Space Sciences, GPU cluster, nVidia, nVidia GeForce GTX 480, Weather prediction

June 1, 2011 by hgpu

GPUMLib: A new Library to combine Machine Learning algorithms with Graphics Processing Units

N. Lopes, B. Ribeiro, R. Quintas

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Tags: Computer science, CUDA, Machine learning, nVidia, Package

June 1, 2011 by hgpu

A GPU/CUDA implementation of the collection-diffusion model to compute SER of large area and complex circuits

J.L. Autran, S. Uznanski, S. Martinie, P. Roche, G. Gasiot, D. Munteanu

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Tags: Computer science, CUDA, Fault simulation, Hardware Architecture, Memory, nVidia, Physics, Tesla C1060

June 1, 2011 by hgpu

CUDA Accelerated LTL Model Checking

Jiri Barnat, Lubos Brim, Milan Ceska, Tomas Lamr

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Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, nVidia GeForce GTX 280

June 1, 2011 by hgpu

Harness Engineering for LLM-Driven GPU Kernel Generation

CANNBot Skills

Compiler-Grounded Hierarchical Diagnosis for LLM-Based Triton Kernel Optimization

NVIDIA Object Oriented Agents

NVIDIA-labs OO Agents: Native Python Object-Oriented Agents

UniCoder: Unified Visual-to-Code Generation via Symbolic Rewards and Reference-Guided Code Optimization

CuFuzz: An API-Knowledge-Graph Coverage-Driven Fuzzing Framework for CUDA Libraries

AutoPass: Evidence-Guided LLM Agents for Compiler Performance Tuning

Probe-and-Refine Tuning of Repository Guidance for AI Coding Agents

Probe-and-Refine Tuning of Repository Guidance for Coding Agents

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

A Reverse-Projecting Pixel-Level Painting Algorithm

Massively Parallel Finite Element Simulator for Full-Chip STI Stress Analysis

RNA secondary structure prediction using dynamic programming algorithm – A review and proposed work

Accelerating All-Atom Normal Mode Analysis with Graphics Processing Unit

MapCG: writing parallel program portable between CPU and GPU

Acceleration of LOD-FDTD Method Using Fundamental Scheme on Graphics Processor Units

Swarm’s flight: Accelerating the particles using C-CUDA

Spherical harmonic transform on heterogeneous architectures using hybrid programming

GPS forward model computing study on CPU/GPU co-processing parallel system using CUDA

GPUMLib: A new Library to combine Machine Learning algorithms with Graphics Processing Units

A GPU/CUDA implementation of the collection-diffusion model to compute SER of large area and complex circuits

CUDA Accelerated LTL Model Checking

Recent source codes

TensorCorePTX: PTX Tensor Core GEMM Exploration

FlashPDE: Triton-fused PDE stencil kernels for physics-informed neural networks

PortLBM: Portable GPU-accelerated Lattice Boltzmann Method Simulations

Harness Engineering for LLM-Driven GPU Kernel Generation

CANNBot Skills

NVIDIA Object Oriented Agents

UniCoder: Unified Visual-to-Code Generation via Symbolic Rewards and Reference-Guided Code Optimization

CuFuzz: An API-Knowledge-Graph Coverage-Driven Fuzzing Framework for CUDA Libraries

AutoPass: Evidence-Guided LLM Agents for Compiler Performance Tuning

Probe-and-Refine Tuning of Repository Guidance for AI Coding Agents

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