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Collision Detection: Broad Phase Adaptation from Multi-Core to Multi-GPU Architecture

Quentin Avril, Valerie Gouranton, Bruno Arnaldi

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Tags: Collision detection, Computer science, CUDA, nVidia, nVidia Quadro FX 4600

July 12, 2014 by hgpu

Applying Object Oriented Design Patterns to CUDA based Pyramidal Image Blending – An Experience

Pritam Prakash Shete, Venkat P. P. K., Dinesh M. Sarode, Mohini Laghate, S. K. Bose

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia Quadro FX 4600, OpenGL

May 19, 2012 by hgpu

Scheduling Tasks over Multicore machines enhanced with Accelerators: a Runtime System’s Perspective

Cedric Augonnet

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Tags: Cell processor, Computer science, CUDA, Databases, nVidia, nVidia Quadro FX 4600, nVidia Quadro FX 5800, Task scheduling, Tesla C2050, Tesla M2070, Tesla S1070, Thesis

March 29, 2012 by hgpu

Object Oriented Framework for CUDA based Pyramidal Image Blending

Pritam Prakash Shete, Venkat P. P. K., Dinesh M. Sarode, Mohini Laghate, S. K. Bose, A. G. Apte

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia Quadro FX 4600

January 23, 2012 by hgpu

Pyramidal Image Blending Using CUDA Framework

Pritam Prakash Shete, Venkat P. P. K., S. K. Bose

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia Quadro FX 4600, Optimization

January 5, 2012 by hgpu

Performance evaluation and optimization of random memory access on multicores with high productivity

Vaibhav Saxena, Yogish Sabharwal, Pramod Bhatotia

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Tags: Benchmarking, Computer science, CUDA, Memory, nVidia, nVidia Quadro FX 4600, Optimization

August 10, 2011 by hgpu

Dynamic adaptation of broad phase collision detection algorithms

Quentin Avril, Valerie Gouranton, Bruno Arnaldi

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Tags: Collision detection, Computer science, CUDA, nVidia, nVidia Quadro FX 3600 M, nVidia Quadro FX 4600, nVidia Quadro FX 5800, Physics-based simulation

June 30, 2011 by hgpu

A new parallel video understanding and retrieval system

Ke-yan Liu, Tong Zhang, Lei Wang

Tags: Image processing, Image recognition, MapReduce, nVidia, nVidia Quadro FX 4600

June 7, 2011 by hgpu

GPU acceleration of MOLAR for HRRT List-Mode OSEM reconstructions

W.C. Barker, S. Thada

Tags: CUDA, Image processing, Image reconstruction, Medicine, nVidia, nVidia Quadro FX 4600, Tomography

April 3, 2011 by hgpu

GPU Computing with Orientation Maps for Extracting Local Invariant Features

Naoyuki Ichimura

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Tags: Computer science, Computer vision, CUDA, Image recognition, nVidia, nVidia GeForce GTX 280, nVidia Quadro FX 4600

March 12, 2011 by hgpu

StarPU: a Runtime System for Scheduling Tasks over Accelerator-Based Multicore Machines

Cedric Augonnet, Samuel Thibault, Raymond Namyst

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Source codes

Tags: Computer science, CUDA, Distributed computing, nVidia, nVidia Quadro FX 4600, nVidia Quadro FX 5800, Package, Performance

February 26, 2011 by hgpu

A Unified Runtime System for Heterogeneous Multi-core Architectures

Cedric Augonnet, Raymond Namyst

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Tags: Computer science, CUDA, Heterogeneous systems, Memory, nVidia, nVidia Quadro FX 4600

January 7, 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

Collision Detection: Broad Phase Adaptation from Multi-Core to Multi-GPU Architecture

Applying Object Oriented Design Patterns to CUDA based Pyramidal Image Blending – An Experience

Scheduling Tasks over Multicore machines enhanced with Accelerators: a Runtime System’s Perspective

Object Oriented Framework for CUDA based Pyramidal Image Blending

Pyramidal Image Blending Using CUDA Framework

Performance evaluation and optimization of random memory access on multicores with high productivity

Dynamic adaptation of broad phase collision detection algorithms

A new parallel video understanding and retrieval system

GPU acceleration of MOLAR for HRRT List-Mode OSEM reconstructions

GPU Computing with Orientation Maps for Extracting Local Invariant Features

StarPU: a Runtime System for Scheduling Tasks over Accelerator-Based Multicore Machines

A Unified Runtime System for Heterogeneous Multi-core Architectures

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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