high performance computing on graphics processing units: hgpu.org

hgpu.org » Computational Complexity

Efficient Relational Algebra Algorithms and Data Structures for GPU

Gregory Frederick Diamos, Haicheng Wu, Ashwin Lele, Jin Wang

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Tags: Algorithms, Computational Complexity, Computer science, CUDA, Databases, Design space exploration, nVidia, Tesla C2050

March 6, 2012 by hgpu

Combining approximate inference methods for efficient learning on large computer clusters

Zhenwen Dai, Jacquelyn A. Shelton, Jorg Bornschein, Abdul Saboor Sheikh, Jorg Lucke

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Tags: Algorithms, Computational Complexity, Computer science, GPU cluster, Machine learning, MPI, nVidia, nVidia GeForce GTX 480, OpenCL, Python

January 19, 2012 by hgpu

Optimizing a Biomedical Imaging Orientation Score Framework

Chidiebere Okwudire, Martin Palatnik, Xu Zhang, Tanya Kudchadker

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Tags: Computational Complexity, CUDA, GPU cluster, Image processing, nVidia, nVidia GeForce GTX 570, Optimization

January 6, 2012 by hgpu

GPGPU Accelerated Texture-Based Radiosity

Sungkono Surya Tjahyono, Christof Lutteroth, Burkhard Wunsche

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Tags: Algorithms, Computational Complexity, Computer science, nVidia, nVidia GeForce GTX 550 Ti, OpenCL, OpenGL, Rendering

January 3, 2012 by hgpu

Implementation of a Parallel Tree Method on a GPU

Naohito Nakasato

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Tags: Astrophysics, ATI, ATI IL, ATI Radeon HD 5870, Computational Complexity, Computer science, Galaxy Astrophysics, Instrumentation and Methods for Astrophysics, KD-tree, OpenCL, Optimization, Performance

December 21, 2011 by hgpu

Acceleration of grammatical evolution using graphics processing units: computational intelligence on consumer games and graphics hardware

Petr Pospichal, Eoin Murphy, Michael O'Neill, Josef Schwarz, Jiri Jaros

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Tags: Algorithms, Computational Complexity, Computer science, CUDA, Genetic programming, Java, nVidia, nVidia GeForce GTX 480, Optimization

December 19, 2011 by hgpu

Multiresolution Flow Simulations on Multi/many-core Architectures

Diego Rossinelli

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Tags: Algorithms, Computational Complexity, CUDA, Differential equations, Fluid dynamics, Heterogeneous systems, nVidia, Partial differential equations, PDEs, Tesla S1070, Tesla T10, Thesis, Wavelet

November 29, 2011 by hgpu

Compute-unified device architecture implementation of a block-matching algorithm for multiple graphical processing unit cards

Francesc Massanes, Marie Cadennes, Jovan G. Brankov

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Tags: Algorithms, Computational Complexity, CUDA, H.264/AVC, Image processing, nVidia, Optical flow, Tesla C1060, Tesla C2070

November 28, 2011 by hgpu

Accelerating the Smoldyn Spatial Stochastic Biochemical Reaction Network Simulator Using GPUs

Denis V. Gladkov, Samuel Alberts, Roshan M. D'Souza, Steven Andrews

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Tags: Algorithms, Biochemistry, Computational Complexity, Computer science, CUDA, nVidia, Tesla C2050

November 11, 2011 by hgpu

An Interest Point Based Illumination Condition Matching Approach to Photometric Registration Within Augmented Reality Worlds

Mark Bingham

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Tags: Algorithms, Computational Complexity, Computer science, nVidia, nVidia GeForce GTX 295, Thesis, Virtual reality

November 11, 2011 by hgpu

GPU-accelerated Convex Multi-phase Image Segmentation

Subrahmanyam Gorthi, Arnaud Le Carvennec, Hadrien Copponnex, Xavier Bresson, Jean-Philippe Thiran

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Source codes

Tags: Algorithms, Computational Complexity, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 285, Optimization, Package

November 7, 2011 by hgpu

True 4D Image Denoising on the GPU

Anders Eklund, Mats Andersson, Hans Knutsson

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Tags: Algorithms, Computational Complexity, Computed tomography, CT, CUDA, FFT, Filtering, Image processing, Medicine, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 580, Tomography

November 3, 2011 by hgpu

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

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

Optical flow algorithms for SYCL

SYCL in the edge: performance and energy evaluation for heterogeneous acceleration

OpenMP5-Offload-OpenMC-Intel-PVC

Distributed OpenMP Offloading of OpenMC on Intel GPU MAX Accelerators

See all packages

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high performance computing on graphics processing units: hgpu.org

Efficient Relational Algebra Algorithms and Data Structures for GPU

Combining approximate inference methods for efficient learning on large computer clusters

Optimizing a Biomedical Imaging Orientation Score Framework

GPGPU Accelerated Texture-Based Radiosity

Implementation of a Parallel Tree Method on a GPU

Acceleration of grammatical evolution using graphics processing units: computational intelligence on consumer games and graphics hardware

Multiresolution Flow Simulations on Multi/many-core Architectures

Compute-unified device architecture implementation of a block-matching algorithm for multiple graphical processing unit cards

Accelerating the Smoldyn Spatial Stochastic Biochemical Reaction Network Simulator Using GPUs

An Interest Point Based Illumination Condition Matching Approach to Photometric Registration Within Augmented Reality Worlds

GPU-accelerated Convex Multi-phase Image Segmentation

True 4D Image Denoising on the GPU

Recent source codes

QArray

Celerity: High-level C++ for Accelerator Clusters

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

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

Optical flow algorithms for SYCL

OpenMP5-Offload-OpenMC-Intel-PVC

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