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hgpu.org » Programming » CUDA

High-Performance Physics Simulations Using Multi-Core CPUs and GPGPUs in a Volunteer Computing Context

Kamran Karimi, Neil G. Dickson, Firas Hamze

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Tags: Computational Physics, CUDA, Monte Carlo simulation, nVidia, nVidia GeForce GTX 260, Physics

December 27, 2010 by hgpu

Exact calculation of disconnected loops

C. Alexandrou, D. Christaras, A. O'Cais, A. Strelchenko

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Tags: CUDA, GPU cluster, High Energy Physics - Lattice, Monte Carlo simulation, nVidia, Physics, QCD, Tesla C1060

December 27, 2010 by hgpu

Performance comparison of single-precision SPICE Model-Evaluation on FPGA, GPU, Cell, and multi-core processors

Nachiket Kapre, Andre DeHon

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Tags: Cell processor, Computer science, CUDA, FPGA, nVidia, nVidia GeForce 9600 GT, Performance

December 26, 2010 by hgpu

A Parallel Preconditioned Conjugate Gradient Solver for the Poisson Problem on a Multi-GPU Platform

Marco Ament, Gunter Knittel, Daniel Weiskopf, W. Strasser

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Tags: Conjugate gradient solver, CUDA, Fluid dynamics, nVidia, nVidia GeForce GTX 295

December 26, 2010 by hgpu

Scalable learning for object detection with GPU hardware

Adam Coates, Paul Baumstarck, Quoc V. Le, Andrew Y. Ng

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce 9800 GTX

December 26, 2010 by hgpu

Multi GPU Implementation of Iterative Tomographic Reconstruction Algorithms

Byunghyun Jang, David R. Kaeli, Synho Do, Homer Pien

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Tags: Computed tomography, CT, CUDA, GPU cluster, Image processing, Image reconstruction, Medicine, nVidia, Tesla S870

December 26, 2010 by hgpu

Parallel High Resolution Real-time Visual Hull On GPU

Wolfgang Waizenegger, Ingo Feldmann, Peter Eisert, Peter Kauff

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Tags: Computer science, CUDA, Image reconstruction, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 280, Real-time graphics

December 26, 2010 by hgpu

Accelerating the local outlier factor algorithm on a GPU for intrusion detection systems

Malak Alshawabkeh, Byunghyun Jang, David R. Kaeli

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 285, Security

December 26, 2010 by hgpu

Using Hybrid CPU-GPU Platforms to Accelerate the Computation of the Matrix Sign Function

Peter Benner, Pablo Ezzatti, Enrique S. Quintana-Orti, Alfredo Remon

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Tags: BLAS, Computer science, CUDA, Linear Algebra, nVidia, Tesla C1060

December 25, 2010 by hgpu

Sketching MLS Image Deformations On the GPU

Yanlin Weng, Xiaohan Shi, Hujun Bao, Jun Zhang

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce 8800 GTX

December 25, 2010 by hgpu

Multi-domain, Higher Order Level Set Scheme for 3D Image Segmentation on the GPU

Ojaswa Sharma, Qin Zhang, Francois Anton, Chandrajit Bajaj

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Tags: Computer vision, CUDA, Image processing, nVidia, Tesla C870

December 25, 2010 by hgpu

A fast high quality pseudo random number generator for nVidia CUDA

William B. Langdon

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Source codes

Tags: Computer science, CUDA, nVidia, Package, Pseudo-random number generators, Tesla T10

December 25, 2010 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

Programming

High-Performance Physics Simulations Using Multi-Core CPUs and GPGPUs in a Volunteer Computing Context

Exact calculation of disconnected loops

Performance comparison of single-precision SPICE Model-Evaluation on FPGA, GPU, Cell, and multi-core processors

A Parallel Preconditioned Conjugate Gradient Solver for the Poisson Problem on a Multi-GPU Platform

Scalable learning for object detection with GPU hardware

Multi GPU Implementation of Iterative Tomographic Reconstruction Algorithms

Parallel High Resolution Real-time Visual Hull On GPU

Accelerating the local outlier factor algorithm on a GPU for intrusion detection systems

Using Hybrid CPU-GPU Platforms to Accelerate the Computation of the Matrix Sign Function

Sketching MLS Image Deformations On the GPU

Multi-domain, Higher Order Level Set Scheme for 3D Image Segmentation on the GPU

A fast high quality pseudo random number generator for nVidia CUDA

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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