high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications » Computer science

Synthesizing Subdivision Meshes Using Real Time Tessellation

Matthias Hollander, Tamy Boubekeur

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Tags: 3D Graphics and Realism, Computer science, nVidia, nVidia GeForce GTX 295, OpenGL, Tessellation, Triangular meshes, Visualization

June 3, 2011 by hgpu

High Performance Stereo Vision Designed for Massively Data Parallel Platforms

Wei Yu, Tsuhan Chen, Franz Franchetti, James C. Hoe

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, Real-time graphics, Stereo vision

June 3, 2011 by hgpu

Interactive Approximate Rendering of Reflections, Refractions, and Caustics

Wei Hu, Kaihuai Qin

Tags: Computer science, Raytracing, Rendering

June 3, 2011 by hgpu

Mixed-Tool Performance Analysis on Hybrid Multicore Architectures

Peng Du, Piotr Luszczek, Stanimire Tomov, Jack Dongarra

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Tags: BLAS, Computer science, CUDA, Linear Algebra, nVidia, nVidia GeForce GTX 280, Performance

June 3, 2011 by hgpu

CUDA-based Signed Distance Field Calculation for Adaptive Grids

Taejung Park, Sung-Ho Lee, Jong-Hyun Kim, Chang-Hun Kim

Tags: Algorithms, Computer science, CUDA, nVidia, Triangular meshes

June 2, 2011 by hgpu

Sparse matrix computations on manycore GPU’s

Michael Garland

Tags: Algorithms, Computer science, CUDA, nVidia, Path problems, Programming techniques, Sparse matrix

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

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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Source codes

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

torchPDLP: Primal-Dual Linear Programming in PyTorch. In collaboration with AMD and IPAM

Accelerating a Linear Programming Algorithm on AMD GPUs

Benchmarks for Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

kvcached: Elastic KV cache for dynamic GPU sharing and efficient multi-LLM inference

Towards Efficient and Practical GPU Multitasking in the Era of LLM

Bandicoot: C++ library for GPU accelerated linear algebra

Bandicoot: A Templated C++ Library for GPU Linear Algebra

Luthier: Bridging Auto-Tuning and Vendor Libraries for Efficient Deep Learning Inference

Fused Kernel Library (FKL)

The Fused Kernel Library: A C++ API to Develop Highly-Efficient GPU Libraries

GPUHammer: Rowhammer Attacks on GPU Memories are Practical

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high performance computing on graphics processing units: hgpu.org

Applications

Synthesizing Subdivision Meshes Using Real Time Tessellation

High Performance Stereo Vision Designed for Massively Data Parallel Platforms

Interactive Approximate Rendering of Reflections, Refractions, and Caustics

Mixed-Tool Performance Analysis on Hybrid Multicore Architectures

CUDA-based Signed Distance Field Calculation for Adaptive Grids

Sparse matrix computations on manycore GPU’s

MapCG: writing parallel program portable between CPU and GPU

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

Recent source codes

CrossTL: Universal Programming Language & Translator

TBD-GPU

DG-SWEM - The Discontinuous Galerkin Shallow Water Equation Model

torchPDLP: Primal-Dual Linear Programming in PyTorch. In collaboration with AMD and IPAM

Benchmarks for Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

kvcached: Elastic KV cache for dynamic GPU sharing and efficient multi-LLM inference

Bandicoot: C++ library for GPU accelerated linear algebra

Luthier: Bridging Auto-Tuning and Vendor Libraries for Efficient Deep Learning Inference

Fused Kernel Library (FKL)

GPUHammer: Rowhammer Attacks on GPU Memories are Practical

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