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Advanced 2D Rasterization on Modern CPUs

Peter Mileff, Judit Dudra

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Tags: ATI, ATI Radeon HD 5670, Computer science, OpenGL, Rasterization, Rendering, Visualization

October 7, 2013 by hgpu

GPU Accelerated Particle Visualization with Splotch

Marzia Rivi, Claudio Gheller, Mel Krokos, Klaus Dolag, Martin Reinecke

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Tags: Algorithms, Astrophysics, CUDA, Instrumentation and Methods for Astrophysics, MPI, Numerical simulation, nVidia, Rendering, Tesla M2090, Visualization

September 9, 2013 by hgpu

Fast network communities visualization on massively parallel GPU architecture

M. Mrzek, B. Jerman Blazic

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Tags: Computer science, CUDA, nVidia, Python, Tesla M2090, Visualization

August 29, 2013 by hgpu

Estimation of Skin Optical Parameters for Real-Time Hyperspectral Imaging Applications using GPGPU Parallel Computing

Asgeir Bjorgan

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Source codes

Tags: Algorithms, CUDA, Image processing, Monte Carlo simulation, nVidia, nVidia Quadro FX 3700 M, OpenCV, Optics, Package, Physics, Thesis, Visualization

August 23, 2013 by hgpu

A Haptic Device Interface for Medical Simulations using OpenCL

Mattias Machwirth

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Tags: Algorithms, ATI, ATI Radeon HD 5750, ATI Radeon HD 7610 M, ATI Radeon HD 7970, Medicine, OpenCL, Thesis, Ultrasound, Visualization

August 14, 2013 by hgpu

DRiVE: An Example of Distributed Rendering in Virtual Environments

Anton Sigitov, Thorsten Roth, Florian Mannuss, Andre Hinkenjann

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Tags: Computer science, CUDA, Image generation, nVidia, nVidia GeForce GTX 680, Rendering, Virtual reality, Visualization

August 2, 2013 by hgpu

Real Time Pixel Art Remasterization on GPUs

Marco A. G. Silva, Anselmo Montenegro, Esteban Clua, Cristina Vasconcelos, Marcos Lage

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GTX 580, Visualization

July 20, 2013 by hgpu

Efficient algorithms for the realistic simulation of fluids

Jesus Ojeda Contreras

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Tags: Algorithms, CUDA, Fluid dynamics, Fluid simulation, Lattice Boltzmann model, nVidia, nVidia GeForce 9400 M, nVidia GeForce 9600 M GT, nVidia GeForce GTX 280, Thesis, Visualization

July 16, 2013 by hgpu

GPU-Accelerated Real-Time Visualization and Interaction for Coupled Fluid Dynamics

Florian De Vuyst, Christophe Labourdette, Christian Rey

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Tags: Algorithms, CUDA, Fluid dynamics, nVidia, Tesla K20, Visualization

June 26, 2013 by hgpu

Continuous Representation of Projected Attribute Spaces of Multifields over Any Spatial Sampling

Vladimir Molchanov, Alexey Fofonov, Lars Linsen

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Tags: Computer science, CUDA, Image generation, Numerical simulation, nVidia, nVidia GeForce GTX 480, Visualization

June 21, 2013 by hgpu

GPU Acceleration of Particle Advection Workloads in a Parallel, Distributed Memory Setting

David Camp, Hari Krishnan, David Pugmire, Christoph Garth, Ian Johnson, E. Wes Bethel, Kenneth I. Joy, Hank Childs

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Tags: Algorithms, Computer science, CUDA, GPU cluster, nVidia, Tesla C2050, Visualization

June 8, 2013 by hgpu

Efficient Execution of AMR Computations on GPU Systems

Hari K. Raghavan

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Tags: Computer science, CUDA, Finite difference, Numerical simulation, nVidia, Tesla C2070, Tesla S1070, Thesis, Visualization

June 4, 2013 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

Advanced 2D Rasterization on Modern CPUs

GPU Accelerated Particle Visualization with Splotch

Fast network communities visualization on massively parallel GPU architecture

Estimation of Skin Optical Parameters for Real-Time Hyperspectral Imaging Applications using GPGPU Parallel Computing

A Haptic Device Interface for Medical Simulations using OpenCL

DRiVE: An Example of Distributed Rendering in Virtual Environments

Real Time Pixel Art Remasterization on GPUs

Efficient algorithms for the realistic simulation of fluids

GPU-Accelerated Real-Time Visualization and Interaction for Coupled Fluid Dynamics

Continuous Representation of Projected Attribute Spaces of Multifields over Any Spatial Sampling

GPU Acceleration of Particle Advection Workloads in a Parallel, Distributed Memory Setting

Efficient Execution of AMR Computations on GPU Systems

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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