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Architectural Analysis and Performance Characterization of NVIDIA GPUs using Microbenchmarking

Saktheesh Subramoniapillai Ajeetha

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Tags: Benchmarking, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 580, Performance, Tesla C2050, Thesis

September 6, 2012 by hgpu

An Implementation of Coincidence Algorithm on Graphic Processing Units

Thitipan Tongsiri, Prabhas Chongstitvatana

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Tags: Algorithms, Computer science, CUDA, Genetic programming, nVidia, nVidia GeForce GTX 280

August 27, 2012 by hgpu

Scalable Clustering for Vision using GPUs

Wasif Mohiuddin

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Tags: Algorithms, Clustering, Computer science, Computer vision, CUDA, Data mining, nVidia, nVidia GeForce 8600, nVidia GeForce GTX 280, nVidia GeForce GTX 480, nVidia GeForce GTX 580, Tesla T10, Thesis

August 26, 2012 by hgpu

Spiking Neural Networks for Real-Time Infrared Images Processing in Thermo Vision Systems

Snejana Pleshkova

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Tags: Computer science, Computer vision, CUDA, Neural networks, nVidia, nVidia GeForce GTX 280

August 13, 2012 by hgpu

Policy-based Tuning for Performance Portability and Library Co-optimization

Duane Merrill, Michael Garland, Andrew Grimshaw

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Tags: Computer science, CUDA, Data parallelism, nVidia, nVidia GeForce 9800 GTX, nVidia GeForce GTX 280, nVidia GeForce GTX 480, Optimization, Performance

August 8, 2012 by hgpu

On Parallel Software Verification using Boolean Equation Systems

Alexander Ditter, Milan Ceska, Gerald Luttgen

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 480

August 6, 2012 by hgpu

Algorithms for the mapping of genome sequences in GPGPU

David Seide

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Tags: Biology, CUDA, Genetics, nVidia, nVidia GeForce GTX 280, Sequence alignment, Thesis

August 5, 2012 by hgpu

Parallel perfusion imaging processing using GPGPU

Fan Zhu, David Rodriguez Gonzalez, Trevor Carpenter, Malcolm Atkinson, Joanna Wardlaw

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Tags: Algorithms, CUDA, Matrix decomposition, Medicine, nVidia, nVidia GeForce GTX 280

August 5, 2012 by hgpu

Analysis and performance estimation of the conjugate gradient method on multiple GPUs

Mickeal Verschoor, Andrei C. Jalba

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Tags: Computer science, Conjugate gradient solver, CUDA, GPU cluster, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 570, Performance, Sparse matrix

August 4, 2012 by hgpu

Optimized Private Information Retrieval Protocol Using Graphics Processing Unit With Reduced Accessibility

Sandip B. Bansode

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Tags: Computer science, CUDA, Databases, Information Retrieval, nVidia, nVidia GeForce GTX 280, Security, Thesis

July 20, 2012 by hgpu

ab-Stream: A Framework for programming Many-core

Xinbiao Gan, Zhiying Wang, Li Shen, Qi Zhu

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Performance

July 15, 2012 by hgpu

New Techniques for Spectral Image Acquisition and Analysis

Jukka Antikainen

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GTX 280, nVidia Quadro FX 3700, Thesis

July 14, 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

Architectural Analysis and Performance Characterization of NVIDIA GPUs using Microbenchmarking

An Implementation of Coincidence Algorithm on Graphic Processing Units

Scalable Clustering for Vision using GPUs

Spiking Neural Networks for Real-Time Infrared Images Processing in Thermo Vision Systems

Policy-based Tuning for Performance Portability and Library Co-optimization

On Parallel Software Verification using Boolean Equation Systems

Algorithms for the mapping of genome sequences in GPGPU

Parallel perfusion imaging processing using GPGPU

Analysis and performance estimation of the conjugate gradient method on multiple GPUs

Optimized Private Information Retrieval Protocol Using Graphics Processing Unit With Reduced Accessibility

ab-Stream: A Framework for programming Many-core

New Techniques for Spectral Image Acquisition and Analysis

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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