high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications

Fast scale invariant feature detection and matching on programmable graphics hardware

Nico Cornelis, Luc Van Gool

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce 8800 GTX

November 6, 2010 by hgpu

Real-time visualization of large volume datasets on standard PC hardware

Kai Xie, Jie Yang, Y. M. Zhu

Tags: Computed tomography, CT, Image processing, Medicine, nVidia, nVidia GeForce 6600

November 6, 2010 by hgpu

Efficient simulation of large-scale spiking neural networks using CUDA graphics processors

Jayram M. Nageswaran, Nikil Dutt, Jeffrey L. Krichmar, Alex Nicolau, Alex Veidenbaum

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Tags: Biology, Computer science, CUDA, Neural networks, nVidia, nVidia GeForce GTX 280, STDP

November 6, 2010 by hgpu

Parallel view-dependent refinement of progressive meshes

Liang Hu, Pedro V. Sander, Hugues Hoppe

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Tags: Computer science, HLSL, nVidia, nVidia GeForce 8800 GTX, Triangular meshes, Visualization

November 6, 2010 by hgpu

Magnetohydrodynamics simulations on graphics processing units

Hon-Cheng Wong, Un-Hong Wong, Xueshang Feng, Zesheng Tang

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Tags: Computational Physics, CUDA, Electrodynamics, Magnetohydrodynamics, nVidia, nVidia GeForce GTX 295, Physics

November 6, 2010 by hgpu

SAPPORO: A way to turn your graphics cards into a GRAPE-6

Evghenii Gaburov, Stefan Harfst, Simon P. Zwart

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Tags: Astrophysics, CUDA, Instrumentation and Methods for Astrophysics, nVidia, nVidia GeForce 9800 GX2, Package, Physics

November 6, 2010 by hgpu

Graphics Hardware-Based Level-Set Method for Interactive Segmentation and Visualization

Helen Hong, Seongjin Park

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Tags: ATI, ATI Radeon 9600, Computed tomography, CT, DirectX, Image processing, Medicine, Rendering

November 6, 2010 by hgpu

PacketShader: a GPU-accelerated software router

Sangjin Han, Keon Jang, KyoungSoo Park, Sue Moon

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Tags: Computer science, CUDA, Network communications, nVidia, nVidia GeForce GTX 480, Software router

November 6, 2010 by hgpu

An Introduction to GPU Accelerated Surgical Simulation

Thomas S. Sorensen, Jesper Mosegaard

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Tags: ATI, ATI Radeon X1900, Medicine, nVidia, nVidia GeForce 7900 GTX, OpenGL, Surgical simulation

November 5, 2010 by hgpu

Multi-Level Graph Layout on the GPU

Yaniv Frishman, Ayellet Tal

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Tags: Cg, Computer science, Graph layout, nVidia, nVidia GeForce 8800 GTS, OpenGL

November 5, 2010 by hgpu

GPU’s for event reconstruction in the FairRoot framework

M. {Al-Turany}, F. {Uhlig}, R. {Karabowicz}

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Tags: CUDA, Instrumentation and measurement, Nuclear physics, nVidia, Package, Particle physics and field theory, Physics, Tesla C1060

November 5, 2010 by hgpu

The GPU as numerical simulation engine

J. Bolz, I. Farmer, E. Grinspun, P. Schroder

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Tags: Computer science, Fluid simulation, Navier-Stokes equations, NSEs, Numerical simulation, nVidia, Sparse matrix

November 5, 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

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high performance computing on graphics processing units: hgpu.org

Applications

Fast scale invariant feature detection and matching on programmable graphics hardware

Real-time visualization of large volume datasets on standard PC hardware

Efficient simulation of large-scale spiking neural networks using CUDA graphics processors

Parallel view-dependent refinement of progressive meshes

Magnetohydrodynamics simulations on graphics processing units

SAPPORO: A way to turn your graphics cards into a GRAPE-6

Graphics Hardware-Based Level-Set Method for Interactive Segmentation and Visualization

PacketShader: a GPU-accelerated software router

An Introduction to GPU Accelerated Surgical Simulation

Multi-Level Graph Layout on the GPU

GPU’s for event reconstruction in the FairRoot framework

The GPU as numerical simulation engine

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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