high performance computing on graphics processing units: hgpu.org

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GPU-accelererated regularisation of large diffusion-tensor volumes

Tuomo Valkonen, Manfred Liebmann

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Tags: Algorithms, Diffusion tensor, Image processing, Medicine, nVidia, nVidia GeForce GTX 480, OpenACC, Tesla C2070

January 18, 2013 by hgpu

Bouncing Behavior of Microscopic Dust Aggregates

Alexander Seizinger, Wilhelm Kley

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Tags: Astrophysics, Earth and Planetary Astrophysics, Molecular dynamics, nVidia, nVidia GeForce GTX 460, nVidia GeForce GTX 570, Tesla C2070

January 17, 2013 by hgpu

On the Use of Graphic Processing Units for the Efficient Implementation of MIMO Detectors

Sandra Roger, Carla Ramiro, Alberto Gonzalez, Vicenc Almenar, Antonio M. Vidal

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Tags: Algorithms, CUDA, MIMO, nVidia, Signal processing, Tesla C2070

January 16, 2013 by hgpu

Distributed Massive Model Rendering

Revanth N R, P. J. Narayanan

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Tags: 3D Graphics and Realism, Computer science, CUDA, nVidia, nVidia GeForce 8600 GTS, nVidia GeForce GTX 280, nVidia GeForce GTX 480, nVidia GeForce GTX 580, nVidia Quadro FX 3700 M, Rendering, Tesla C2050, Tesla C2070, Tesla S1070

January 8, 2013 by hgpu

GPU-Optimized Coarse-Grained MD Simulations of Protein and RNA Folding and Assembly

Andrew J. Proctor, Tyson J. Lipscomb, Anqi Zou, Joshua A. Anderson, Samuel S. Cho

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Tags: Bioinformatics, Biology, CUDA, Macromolecule, Molecular dynamics, nVidia, RNA, Tesla C2070

January 8, 2013 by hgpu

Programming CUDA and OpenCL: A Case Study Using Modern C++ Libraries

Denis Demidov, Karsten Ahnert, Karl Rupp, Peter Gottschling

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Source codes

Tags: ATI, ATI Radeon HD 7970, Computational Physics, Computer science, CUDA, Differential equations, Mathematical Software, nVidia, ODEs, OpenCL, Ordinary differential equations, Package, Tesla C2070

January 2, 2013 by hgpu

Task-based Conjugate-Gradient for multi-GPUs platforms

Emmanuel Agullo, Luc Giraud, Abdou Guermouche, Stojce Nakov, Jean Roman

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Tags: Algorithms, Computer science, Conjugate gradient solver, CUBLAS, CUDA, Linear Algebra, nVidia, Tesla C2070

December 25, 2012 by hgpu

Coulomb, Landau and Maximally Abelian Gauge Fixing in Lattice QCD with Multi-GPUs

Mario Schrock, Hannes Vogt

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Tags: CUDA, GPU cluster, High Energy Physics - Lattice, Mixed precision, Monte Carlo simulation, MPI, nVidia, Physics, QCD, Tesla C2070

December 23, 2012 by hgpu

GPU accelerating the FEniCS Project

Fredrik Heffer Valdmanis

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Tags: Computer science, CUDA, Differential equations, Linear Algebra, nVidia, Partial differential equations, PDEs, Tesla C2070, Thesis

December 8, 2012 by hgpu

Optimizing 3D Convolutions for Wavelet Transforms on CPUs with SSE Units and GPUs

Brice Videau, Vania Marangozova-Martin, Luigi Genovese, Thierry Deutsch

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Tags: Algorithms, ATI, ATI Radeon HD 6970, Computer science, Heterogeneous systems, nVidia, OpenCL, Optimization, Tesla C2070, Wavelet

November 27, 2012 by hgpu

The Uintah Framework: A Unified Heterogeneous Task Scheduling and Runtime System

Qingyu Meng, Alan Humphrey, Martin Berzins

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Tags: Computer science, CUDA, Heterogeneous systems, Memory model, MPI, nVidia, nVidia GeForce GTX 570, Task scheduling, Tesla C2070

November 24, 2012 by hgpu

GPU Acceleration of Transmural Electrophysiological Imaging

M. Corraine, S. Lopez, L. Wang

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Tags: Algorithms, CUDA, Image processing, Medicine, nVidia, nVidia GeForce GTX 295, nVidia GeForce GTX 480, Tesla C2070

November 23, 2012 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

GPU-accelererated regularisation of large diffusion-tensor volumes

Bouncing Behavior of Microscopic Dust Aggregates

On the Use of Graphic Processing Units for the Efficient Implementation of MIMO Detectors

Distributed Massive Model Rendering

GPU-Optimized Coarse-Grained MD Simulations of Protein and RNA Folding and Assembly

Programming CUDA and OpenCL: A Case Study Using Modern C++ Libraries

Task-based Conjugate-Gradient for multi-GPUs platforms

Coulomb, Landau and Maximally Abelian Gauge Fixing in Lattice QCD with Multi-GPUs

GPU accelerating the FEniCS Project

Optimizing 3D Convolutions for Wavelet Transforms on CPUs with SSE Units and GPUs

The Uintah Framework: A Unified Heterogeneous Task Scheduling and Runtime System

GPU Acceleration of Transmural Electrophysiological Imaging

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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