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Handbook of open source tools

Sandeep Koranne

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Tags: Book, Cluster computing, Computer science, CUDA, MPI, nVidia, OpenCL, Pthreads

February 26, 2011 by hgpu

Interactive multiple anisotropic scattering in clouds

Antoine Bouthors, Fabrice Neyret, Nelson Max, Eric Bruneton, Cyril Crassin

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Tags: 3D Graphics and Realism, Algorithms, Computer science, nVidia, nVidia GeForce 8800 GTS

February 25, 2011 by hgpu

OpenGL application live migration with GPU acceleration in personal cloud

Yunbiao Lin, Wei Wang, Kyle Gui

Tags: Algorithms, Computer science, OpenGL, Software Engineering, Virtualization

February 25, 2011 by hgpu

Achieving a single compute device image in OpenCL for multiple GPUs

Jungwon Kim, Honggyu Kim, Joo H. Lee, Jaejin Lee

Tags: Algorithms, Code generation, Compilers, Computer science, CUDA, nVidia, OpenCL, Optimization

February 25, 2011 by hgpu

Statistical Power Consumption Analysis and Modeling for GPU-based Computing

Xiaohan Ma, Mian Dong, Lin Zhong, Zhigang Deng

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

February 24, 2011 by hgpu

Barra, a Modular Functional GPU Simulator for GPGPU

Sylvain Collange, David Defour, David Parello

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 9800 GX2, Package, Performance

February 24, 2011 by hgpu

An efficient GPU-based approach for interactive global illumination

Rui Wang, Rui Wang, Kun Zhou, Minghao Pan, Hujun Bao

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Tags: 3D Graphics and Realism, Computer science, KD-tree, nVidia, nVidia GeForce GTX 280, Rendering

February 24, 2011 by hgpu

Cloth Simulation on the GPU

Cyril Zeller

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Tags: 3D Graphics and Realism, Computer science, nVidia, nVidia GeForce 6800 Ultra, OpenGL, Presentation, Rendering

February 24, 2011 by hgpu

Accelerating Quantum Monte Carlo Simulations with Emerging Architectures

Akila Gothandaraman

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Tags: Computer science, CUDA, FPGA, nVidia, QMC, Tesla C1060, Tesla C870, Thesis

February 24, 2011 by hgpu

Parallel Cloth Simulation Using OpenMP and CUDA

Gillian David Sims

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Tags: Computer science, Conjugate gradient solver, CUBLAS, CUDA, nVidia, nVidia GeForce 9800 GTX, OpenMP, Rendering, Thesis

February 24, 2011 by hgpu

Many-core GPU computing with NVIDIA CUDA

Mark Harris

Tags: Computer science, CUDA, High-level Languages, nVidia, Programming Languages

February 24, 2011 by hgpu

Iterative GPGPU Linear Solvers for Sparse Matrices

Filip Vesely

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Tags: Brook, Computer science, nVidia, nVidia GeForce 8600 M GS, RapidMind, Sparse linear iterative solvers, Thesis

February 24, 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

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high performance computing on graphics processing units: hgpu.org

Applications

Handbook of open source tools

Interactive multiple anisotropic scattering in clouds

OpenGL application live migration with GPU acceleration in personal cloud

Achieving a single compute device image in OpenCL for multiple GPUs

Statistical Power Consumption Analysis and Modeling for GPU-based Computing

Barra, a Modular Functional GPU Simulator for GPGPU

An efficient GPU-based approach for interactive global illumination

Cloth Simulation on the GPU

Accelerating Quantum Monte Carlo Simulations with Emerging Architectures

Parallel Cloth Simulation Using OpenMP and CUDA

Many-core GPU computing with NVIDIA CUDA

Iterative GPGPU Linear Solvers for Sparse Matrices

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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