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Benchmarking the cost of thread divergence in CUDA

Piotr Bialas, Adam Strzelecki

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Tags: Benchmarking, Computer science, CUDA, nVidia, nVidia GeForce GT 610, nVidia GeForce GT 755 M, nVidia GeForce GTX 480, nVidia GeForce GTX 650 M, nVidia GeForce GTX 770, nVidia GeForce GTX 850 M, Performance

April 8, 2015 by hgpu

SignalPU: A programming model for DSP applications on parallel and heterogeneous clusters

Farouk Mansouri, Sylvain Huet, Dominique Houzet

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Tags: Algorithms, CUDA, DSP, Heterogeneous systems, nVidia, nVidia GeForce GT 610, nVidia GeForce GTX Titan, nVidia Quadro 4000, Signal processing

December 20, 2014 by hgpu

Implementation of algorithms for relativistic hydrodynamics using graphics processing units in CUDA framework

Jan Sikorski

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Tags: CUDA, Field equations, nVidia, nVidia GeForce GT 610, Physics, Thesis

April 13, 2014 by hgpu

GPU Based Performance Acceleration of Radar Imaging Algorithms

V. Jithesh, K.P. Jacob

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Tags: Algorithms, CUDA, Electrodynamics, nVidia, nVidia GeForce GT 610, OpenCL

April 1, 2014 by hgpu

Large scale 3D shape retrieval by exploiting multi-core and GPU

M. Benjelloun, E.W. Dadi, E.M. Daoudi

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Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GT 610, SIFT

January 5, 2014 by hgpu

Implementation of Diamond Search Algorithm Using Parallel Processing Architecture

K. Shuma Roshini, M. Tejaswi

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Tags: Algorithms, Compression, CUDA, Image processing, nVidia, nVidia GeForce GT 610, Video encoding

November 17, 2013 by hgpu

Histogram Computations on GPUs Kernel using Global and Shared Memory Atomics

C.P.Patidar, Meena Sharma

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Tags: Computer science, CUDA, Memory, nVidia, nVidia GeForce GT 610

September 11, 2013 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

Benchmarking the cost of thread divergence in CUDA

SignalPU: A programming model for DSP applications on parallel and heterogeneous clusters

Implementation of algorithms for relativistic hydrodynamics using graphics processing units in CUDA framework

GPU Based Performance Acceleration of Radar Imaging Algorithms

Large scale 3D shape retrieval by exploiting multi-core and GPU

Implementation of Diamond Search Algorithm Using Parallel Processing Architecture

Histogram Computations on GPUs Kernel using Global and Shared Memory Atomics

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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