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LAMMPScuda – a new GPU accelerated Molecular Dynamics Simulations Package and its Application to Ion-Conducting Glasses

Christian Robert Trott

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Tags: Biology, Computational Physics, CUDA, Heterogeneous systems, Molecular dynamics, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 470, Package, Physics, Polymer Systems, Tesla C1060, Thesis

February 13, 2012 by hgpu

Automatic Performance Optimization in ViennaCL for GPUs

Karl Rupp, Josef Weinbub, Florian Rudolf

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Tags: Algorithms, ATI, ATI Radeon HD 5850, Computer science, Linear Algebra, nVidia, nVidia GeForce 8500 GT, nVidia GeForce GTX 470, OpenCL, Optimization, Package, Performance, Programming techniques

February 10, 2012 by hgpu

The Boat Hull Model: Adapting the Roofline Model to Enable Performance Prediction for Parallel Computing

Cedric Nugteren, Henk Corporaal

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 470, Performance

February 9, 2012 by hgpu

Numerical Ocean Modeling and Simulation with CUDA

Jason Mak, Paul Choboter, Chris Lupo

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Tags: Computer science, CUDA, Earth and Space Sciences, Finite difference, Fortran, MPI, nVidia, nVidia GeForce GTX 470

January 30, 2012 by hgpu

SMAA: Enhanced Subpixel Morphological Antialiasing

Jorge Jimenez, Jose I. Echevarria, Tiago Sousa, Diego Gutierrez

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Tags: Algorithms, DirectX, Image generation, Image processing, nVidia, nVidia GeForce GTX 470, Package

January 27, 2012 by hgpu

PyCOOL – a Cosmological Object-Oriented Lattice code written in Python

Jani Sainio

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Tags: Astrophysics, Computational Physics, Cosmology and Extragalactic Astrophysics, CUDA, High Energy Physics - Phenomenology, Instrumentation and Methods for Astrophysics, nVidia, nVidia GeForce GTX 470, Package, Python, Tesla C2050

January 25, 2012 by hgpu

Direct Visualization of Particle-Partition of Unity Data

M. Uffinger, M. A. Schweitzer, F. Sadlo, T. Ertl

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Tags: Algorithms, Computer science, GLSL, Image generation, nVidia, nVidia GeForce GTX 470, OpenGL, Visualization

January 21, 2012 by hgpu

Feature Extraction and Visualization from Higher-Order CFD Data

Christian Azambuja Pagot

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Tags: CUDA, Flow analysis, Fluid dynamics, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 470, Thesis, Visualization

January 16, 2012 by hgpu

An Integrated Framework for Feature Extraction, Object Recognition and Stereo Vision with GPU support

Alexander Woodward, Patrice Delmas

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Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 470, nVidia GeForce GTX 580, Stereo vision

January 14, 2012 by hgpu

Report on the Feasibility of Implementing PIC Codes on a GPU

Joshua Payne

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Tags: CUDA, nVidia, nVidia GeForce GTX 470, Package, Physics, Plasma physics

January 7, 2012 by hgpu

A Scalable Framework for Monte Carlo Simulation Using FPGA-based Hardware Accelerators with Application to SPECT Imaging

Phillip J. Kinsman

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Tags: Algorithms, Computed tomography, CT, CUDA, FPGA, Image reconstruction, Medicine, Monte Carlo simulation, nVidia, nVidia GeForce GTX 470, Thesis, Tomography

January 3, 2012 by hgpu

Mapping the SBR and TW-ILDCs to Heterogeneous CPU-GPU Architecture for Fast Computation of Electromagnetic Scattering

P. C. Gao, Y. B. Tao, Z. H. Bai, H. Lin

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Tags: CUDA, Electrodynamics, Heterogeneous systems, nVidia, nVidia GeForce GTX 470

December 31, 2011 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

LAMMPScuda – a new GPU accelerated Molecular Dynamics Simulations Package and its Application to Ion-Conducting Glasses

Automatic Performance Optimization in ViennaCL for GPUs

The Boat Hull Model: Adapting the Roofline Model to Enable Performance Prediction for Parallel Computing

Numerical Ocean Modeling and Simulation with CUDA

SMAA: Enhanced Subpixel Morphological Antialiasing

PyCOOL – a Cosmological Object-Oriented Lattice code written in Python

Direct Visualization of Particle-Partition of Unity Data

Feature Extraction and Visualization from Higher-Order CFD Data

An Integrated Framework for Feature Extraction, Object Recognition and Stereo Vision with GPU support

Report on the Feasibility of Implementing PIC Codes on a GPU

A Scalable Framework for Monte Carlo Simulation Using FPGA-based Hardware Accelerators with Application to SPECT Imaging

Mapping the SBR and TW-ILDCs to Heterogeneous CPU-GPU Architecture for Fast Computation of Electromagnetic Scattering

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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