high performance computing on graphics processing units: hgpu.org

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Fast and Accurate Finite-Element Multigrid Solvers for PDE Simulations on GPU Clusters

Dominik Goddeke

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Tags: CUDA, Finite element method, Fluid dynamics, GPU cluster, Navier-Stokes equations, NSEs, nVidia, nVidia GeForce 6800, nVidia GeForce 7600 GT, nVidia GeForce 7900 GT, nVidia GeForce 8600 GT, nVidia GeForce 8800 GTX, nVidia GeForce 9600 GT, nVidia GeForce GTX 280, OpenGL, Review, Thesis

December 16, 2010 by hgpu

Genetic programming on graphics processing units

Denis Robilliard, Virginie Marion-Poty, Cyril Fonlupt

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, Package

December 15, 2010 by hgpu

Filtered Blending: A new, minimal Reconstruction Filter for Ghosting-Free Projective Texturing with Multiple Images

Martin Eisemann, Anita Sellent, Marcus Magnor

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Tags: Computer science, GLSL, nVidia, nVidia GeForce 8800 GTX, OpenGL, Real-time graphics, Rendering

December 15, 2010 by hgpu

Accelerating a three-dimensional finite-difference wave propagation code using GPU graphics cards

David Michea, Dimitri Komatitsch

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Tags: CUDA, Earth and Space Sciences, FDTD, Finite difference, Geoscience, GPU cluster, MPI, nVidia, nVidia GeForce 8800 GTX, Tesla S1070

December 15, 2010 by hgpu

High Performance GPU-based Proximity Queries using Distance Fields

T. Morvan, M. Reimers, E. Samset

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Tags: Algorithms, Collision detection, Computer science, GLSL, nVidia, nVidia GeForce 8800 GTX, OpenGL

December 14, 2010 by hgpu

GPU Rendering of Relief Mapped Conical Frusta

D. Bhagvat, S. Jeschke, D. Cline, P. Wonka

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Tags: 3D Graphics and Realism, Computer science, GLSL, Image generation, nVidia, nVidia GeForce 8800 GTX, OpenGL, Rendering

December 14, 2010 by hgpu

A Flexible Kernel for Adaptive Mesh Refinement on GPU

Boubekeur, T., Schlick, C.

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Tags: Computer science, GLSL, Image generation, nVidia, nVidia GeForce 8800 GTX, OpenGL, Real-time graphics, Triangular meshes

December 14, 2010 by hgpu

A Framework for Megascale Agent Based Model Simulations on Graphics Processing Units

Mikola Lysenko, Roshan M. D'Souz

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Tags: Algorithms, Computer science, GLSL, nVidia, nVidia GeForce 8800 GTX, OpenGL, Programming techniques

December 13, 2010 by hgpu

A Framework for Megascale Agent Based Model Simulations on the GPU

Mikola Lysenko, Roshan D'Souza, Keyvan Rahmani

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Tags: Algorithms, Computer science, GLSL, nVidia, nVidia GeForce 8800 GTX, OpenGL, Programming techniques

December 13, 2010 by hgpu

Accelerating Compute-Intensive Applications with GPUs and FPGAs

Shuai Che, Jie Li, Jeremy W. Sheaffer, Kevin Skadron, John Lach

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Tags: Architecture, Computer science, CUDA, FPGA, nVidia, nVidia GeForce 8800 GTX, Package, Performance

December 13, 2010 by hgpu

SWPS3 – fast multi-threaded vectorized Smith-Waterman for IBM Cell/B.E. and x86/SSE2

Adam Szalkowski, Christian Ledergerber, Philipp Kraehenbuehl, Christophe Dessimoz

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Tags: Biology, Cell processor, CUDA, nVidia, nVidia GeForce 8800 GTX, Optimization, Package, Sequence alignment, Smith-Waterman algorithm

December 12, 2010 by hgpu

Low viscosity flow simulations for animation

Jeroen Molemaker, Jonathan M. Cohen, Sanjit Patel, Jonyong Noh

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Tags: 3D Graphics and Realism, Computer science, CUDA, Fluid dynamics, nVidia, nVidia GeForce 8800 GTX, Partial differential equations, PDEs

December 12, 2010 by hgpu

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

SimSYCL: A SYCL Implementation Targeting Development, Debugging, Simulation and Conformance

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

94% on CIFAR-10 in 3.29 Seconds on a Single GPU

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

OpenMC Monte Carlo Code

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

See all packages

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high performance computing on graphics processing units: hgpu.org

Fast and Accurate Finite-Element Multigrid Solvers for PDE Simulations on GPU Clusters

Genetic programming on graphics processing units

Filtered Blending: A new, minimal Reconstruction Filter for Ghosting-Free Projective Texturing with Multiple Images

Accelerating a three-dimensional finite-difference wave propagation code using GPU graphics cards

High Performance GPU-based Proximity Queries using Distance Fields

GPU Rendering of Relief Mapped Conical Frusta

A Flexible Kernel for Adaptive Mesh Refinement on GPU

A Framework for Megascale Agent Based Model Simulations on Graphics Processing Units

A Framework for Megascale Agent Based Model Simulations on the GPU

Accelerating Compute-Intensive Applications with GPUs and FPGAs

SWPS3 – fast multi-threaded vectorized Smith-Waterman for IBM Cell/B.E. and x86/SSE2

Low viscosity flow simulations for animation

Recent source codes

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

GPU plugin for PySCF

QArray

Celerity: High-level C++ for Accelerator Clusters

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

OpenMC Monte Carlo Code

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

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