high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications

Data handling inefficiencies between CUDA, 3D rendering, and system memory

B. Gordon, S. Sohoni, D. Chandler

Tags: 3D Graphics and Realism, Computer science, CUDA, nVidia, Rendering

April 17, 2011 by hgpu

A CUDA-Based Implementation of Stable Fluids in 3D with Internal and Moving Boundaries

Goncalo Amador, Abel Gomes

Tags: CUDA, Fluid dynamics, Navier-Stokes equations, NSEs, nVidia

April 17, 2011 by hgpu

Efficient JPEG2000 EBCOT Context Modeling for Massively Parallel Architectures

Jiri Matela, Vit Rusnak, Petr Holub

Tags: CUDA, Image processing, JPEG2000, nVidia

April 17, 2011 by hgpu

Exploiting Computational Resources in Distributed Heterogeneous Platforms

George Teodoro, Rafael Sachetto, Daniel Fireman, Dorgival Guedes, Renato Ferreira

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce 8800 GT, nVidia GeForce GTX 260

April 16, 2011 by hgpu

Computation of Voronoi diagrams using a graphics processing unit

I. Majdandzic, C. Trefftz, G. Wolffe

Tags: Algorithms, Computer science, CUDA, nVidia, Voronoi diagram

April 16, 2011 by hgpu

Statistical testing of random number sequences using CUDA

Alin Suciu, Lidia Zegreanu, Catalin Tudor Zima

Tags: Algorithms, Computer science, CUDA, nVidia, Pseudo-random number generators

April 16, 2011 by hgpu

3-SAT on CUDA: Towards a massively parallel SAT solver

Quirin Meyer, Fabian Schonfeld, Marc Stamminger, Rolf Wanka

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 285, SAT

April 16, 2011 by hgpu

GP-GPU: Bridging the Gap between Modelling & Experimentation

T.F. Clayton, A.F. Murray, I. Lindsay

Tags: Biology, Neuroscience

April 16, 2011 by hgpu

Hybrid Map Task Scheduling for GPU-Based Heterogeneous Clusters

Koichi Shirahata, Hitoshi Sato, Satoshi Matsuoka

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, Presentation, Task scheduling, Tesla S1070

April 16, 2011 by hgpu

Parallel Lexicographic Names Construction with CUDA

Weidong Sun, Zongmin Ma

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Tags: Code generation, Computer science, CUDA, nVidia, nVidia GeForce 9600 GSO, Suffix trees

April 16, 2011 by hgpu

Accurate Measurements and Precise Modeling of Power Dissipation of CUDA Kernels toward Power Optimized High Performance CPU-GPU Computing

R. Suda, Da Qi Ren

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Tags: Computer science, CUDA, Energy-efficient computing, nVidia, nVidia GeForce 8800 GTS

April 16, 2011 by hgpu

A High-Performance Multi-user Service System for Financial Analytics Based on Web Service and GPU Computation

Gow-Hsing King, Zong-You Cai, Yan-Ying Lu, Jan-Jan Wu, Hung-Pin Shih, Chao-Rui Chang

Tags: Finance, nVidia, nVidia GeForce GTX 275, Tesla C1060

April 16, 2011 by hgpu

Allo: Accelerator Design Language

Dato: A Task-Based Programming Model for Dataflow Accelerators

Towards Robust Agentic CUDA Kernel Benchmarking, Verification, and Optimization

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

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

Data handling inefficiencies between CUDA, 3D rendering, and system memory

A CUDA-Based Implementation of Stable Fluids in 3D with Internal and Moving Boundaries

Efficient JPEG2000 EBCOT Context Modeling for Massively Parallel Architectures

Exploiting Computational Resources in Distributed Heterogeneous Platforms

Computation of Voronoi diagrams using a graphics processing unit

Statistical testing of random number sequences using CUDA

3-SAT on CUDA: Towards a massively parallel SAT solver

GP-GPU: Bridging the Gap between Modelling & Experimentation

Hybrid Map Task Scheduling for GPU-Based Heterogeneous Clusters

Parallel Lexicographic Names Construction with CUDA

Accurate Measurements and Precise Modeling of Power Dissipation of CUDA Kernels toward Power Optimized High Performance CPU-GPU Computing

A High-Performance Multi-user Service System for Financial Analytics Based on Web Service and GPU Computation

Recent source codes

Allo: Accelerator Design Language

Towards Robust Agentic CUDA Kernel Benchmarking, Verification, and Optimization

HPC Benchmark Survey

HDM: Home made Diffusion Models

General Matrix Multiplication (GEMM)

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

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