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Accelerating iterative field-compensated MR image reconstruction on GPUs

Yue Zhuo, Xiao-Long Wu, Justin P. Haldar, Wen-mei Hwu, Zhi-pei Liang, Bradley P. Sutton

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Tags: Conjugate gradient solver, CUDA, Image processing, Image reconstruction, Medicine, MRI, nVidia, nVidia GeForce GTX 280

January 24, 2011 by hgpu

Data Layout Transformation for Structured-Grid Codes on GPU

I-Jui Sung, Wen-Mei Hwu

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Tags: Computer science, CUDA, Memory model, nVidia, nVidia GeForce GTX 280

January 24, 2011 by hgpu

Program Optimization Strategies for Data-Parallel Many-Core Processors

Shane Ryoo

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, Optimization, Thesis

January 24, 2011 by hgpu

Efficient Parallel Scan Algorithms for GPUs

Shubhabrata Sengupta, Mark Harris, Michael Garland

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Source codes

Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Package

January 24, 2011 by hgpu

Efficient Sparse Matrix-Vector Multiplication on CUDA

Nathan Bell and Michael Garland

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Tags: Computer science, CUDA, Linear Algebra, Matrix multiplication, nVidia, nVidia GeForce GTX 280, Sparse matrix

January 24, 2011 by hgpu

Parallel Genetic Algorithms on Programmable Graphics Hardware

Qizhi Yu, Chongcheng Chen and Zhigeng Pan

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Tags: Algorithms, Cg, Computer science, Genetic programming, nVidia, nVidia GeForce 6800 GT

January 23, 2011 by hgpu

Evolutionary Computing on Consumer-Level Graphics Hardware

Ka-Ling Fok, Tien-TsinWong, Man-Leung Wong

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Tags: Algorithms, Computer science, Genetic programming, nVidia, nVidia GeForce 6800 Ultra, Shaders

January 23, 2011 by hgpu

Fast Genetic Programming and Artificial Developmental Systems on GPUs

Simon Harding and Wolfgang Banzhaf

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Tags: Algorithms, Computer science, Genetic programming, nVidia, nVidia GeForce 7300 GO, Shaders

January 23, 2011 by hgpu

A data parallel approach to genetic programming using programmable graphics hardware

Darren M. Chitty

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Tags: Algorithms, Artificial intelligence, Cg, Computer science, Genetic programming, nVidia, nVidia GeForce 6400

January 23, 2011 by hgpu

Genetic programming on GPUs for image processing

Simon Harding and Wolfgang Banzhaf

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Tags: Computer science, DirectX, Filtering, Genetic programming, Image processing, nVidia, nVidia GeForce 8800 GTX

January 23, 2011 by hgpu

GPU Accelerated Computation and Visualization of Hexagonal Cellular Automata

Stephane Gobron, Herve Bonafos and Daniel Mestre

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Tags: Cellular automata, Computer science, Genetic programming, GLSL, nVidia, nVidia GeForce 7600 GT, nVidia GeForce 7900 M GTX, nVidia GeForce 8600 GS, nVidia GeForce 8800 GTX, nVidia Quadro FX 3500, OpenGL, Real-time graphics, Rendering

January 23, 2011 by hgpu

A study of parallel evolution strategy: pattern search on a GPU computing platform

Weihang Zhu

Tags: Algorithms, Computer science, CUDA, Genetic programming, nVidia, Pattern Search

January 23, 2011 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

* * *

high performance computing on graphics processing units: hgpu.org

Accelerating iterative field-compensated MR image reconstruction on GPUs

Data Layout Transformation for Structured-Grid Codes on GPU

Program Optimization Strategies for Data-Parallel Many-Core Processors

Efficient Parallel Scan Algorithms for GPUs

Efficient Sparse Matrix-Vector Multiplication on CUDA

Parallel Genetic Algorithms on Programmable Graphics Hardware

Evolutionary Computing on Consumer-Level Graphics Hardware

Fast Genetic Programming and Artificial Developmental Systems on GPUs

A data parallel approach to genetic programming using programmable graphics hardware

Genetic programming on GPUs for image processing

GPU Accelerated Computation and Visualization of Hexagonal Cellular Automata

A study of parallel evolution strategy: pattern search on a GPU computing platform

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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