high performance computing on graphics processing units: hgpu.org

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A Parallel Ray Tracing Architecture Suitable for Application-Specific Hardware and GPGPU Implementations

Alexandre S. Nery, Nadia Nedjah, Felipe M.G. Franca, Lech Jozwiak

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Tags: Algorithms, Computer science, CUDA, FPGA, nVidia, nVidia GeForce GTX 465, Raytracing, Rendering, Virtual reality

October 23, 2011 by hgpu

A rendering method for simulated emission nebulae

Adam Carlson

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Tags: Algorithms, Computer science, nVidia, nVidia GeForce GTX 460, OpenCL, Rendering, Thesis, Visualization

October 13, 2011 by hgpu

Cinematic Particle Systems with OpenCL

Tim Horton

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Tags: ATI, ATI Radeon HD 4890, Computer science, OpenCL, Package, Rendering, Visualization

October 12, 2011 by hgpu

Fast Surface Extraction and Visualization of Medical Images using OpenCL and GPUs

Erik Smistad, Anne C. Elster, Frank Lindseth

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Tags: Algorithms, Computer science, CUDA, Medicine, nVidia, nVidia GeForce GTX 460, OpenCL, Package, Rendering, Visualization

October 11, 2011 by hgpu

GPU Algorithms for Diamond-based Multiresolution Terrain Processing

M. Adil Yalcin, Kenneth Weiss, Leila De Floriani

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Tags: 3D Graphics and Realism, Algorithms, Computer science, nVidia, nVidia GeForce GTX 260, OpenCL, OpenGL, Rendering, Tessellation, Visualization

October 4, 2011 by hgpu

Realtime Computation of a VST Audio Effect Plugin on the Graphics Processor

Wolfgang Fohl, Julian Dessecker

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Tags: CUDA, nVidia, nVidia GeForce 9600, OpenCL, Rendering, Signal processing

October 3, 2011 by hgpu

XML3D: interactive 3D graphics for the web

Kristian Sons, Felix Klein, Dmitri Rubinstein, Sergiy Byelozyorov, Philipp Slusallek

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Tags: 3D Graphics and Realism, Computer science, Java, OpenGL, Package, Real-time graphics, Rendering, Virtual reality

September 28, 2011 by hgpu

Intelligent GPGPU Classification in Volume Visualization: A framework based on Error-Correcting Output Codes

S. Escalera, A. Puig, O. Amoros, M. Salamo

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Tags: Algorithms, ATI, Computer science, Machine learning, nVidia, nVidia GeForce GTX 470, OpenCL, Rendering, Visualization

September 27, 2011 by hgpu

Improving SIMT Efficiency of Global Rendering Algorithms with Architectural Support for Dynamic Micro-Kernels

Michael Steffen, Joseph Zambreno

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia Quadro FX 5800, Performance, PTX, Rendering

September 23, 2011 by hgpu

Accelerating reaction-diffusion simulations with general-purpose graphics processing units

Matthias Vigelius, Aidan Lane, Bernd Meyer

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Tags: Algorithms, Bioinformatics, Biology, CUDA, nVidia, Package, Rendering, Stochastic simulation

September 23, 2011 by hgpu

Implicit and dynamic trees for high performance rendering

Nathan Andrysco, Xavier Tricoche

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Tags: 3D Graphics and Realism, Computer science, CUDA, KD-tree, nVidia, nVidia GeForce GTX 480, Raytracing, Rendering

September 16, 2011 by hgpu

Visual simulation of shockwaves

Jason Sewall, Nico Galoppo, Georgi Tsankov, Ming Lin

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Tags: Algorithms, Finite volume method, Fluid dynamics, Fluid simulation, Physics-based simulation, Rendering

September 15, 2011 by hgpu

CuPBoP-AMD: Extending CUDA to AMD Platforms

CuPBoP: Making CUDA a Portable Language

Adopter: Automated Deep Learning Optimization via DSL-based Source Code Transformation

Automated Deep Learning Optimization via DSL-Based Source Code Transformation

ROCm's implementation of Gromacs

GROMACS on AMD GPU-Based HPC Platforms: Using SYCL for Performance and Portability

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

Experiences with implementing Kokkos’ SYCL backend

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

See all packages

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high performance computing on graphics processing units: hgpu.org

A Parallel Ray Tracing Architecture Suitable for Application-Specific Hardware and GPGPU Implementations

A rendering method for simulated emission nebulae

Cinematic Particle Systems with OpenCL

Fast Surface Extraction and Visualization of Medical Images using OpenCL and GPUs

GPU Algorithms for Diamond-based Multiresolution Terrain Processing

Realtime Computation of a VST Audio Effect Plugin on the Graphics Processor

XML3D: interactive 3D graphics for the web

Intelligent GPGPU Classification in Volume Visualization: A framework based on Error-Correcting Output Codes

Improving SIMT Efficiency of Global Rendering Algorithms with Architectural Support for Dynamic Micro-Kernels

Accelerating reaction-diffusion simulations with general-purpose graphics processing units

Implicit and dynamic trees for high performance rendering

Visual simulation of shockwaves

Recent source codes

CuPBoP-AMD: Extending CUDA to AMD Platforms

Adopter: Automated Deep Learning Optimization via DSL-based Source Code Transformation

ROCm's implementation of Gromacs

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

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

Most viewed papers (last 30 days)