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GpuC: Data parallel language extension to CUDA

Zeki Bozkus

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Tags: Compilers, Computer science, CUDA, High-level Languages, nVidia, OpenMP, Optimization

February 16, 2011 by hgpu

Static Memory Access Pattern Analysis on a Massively Parallel GPU

Byunghyun Jang, Dana Schaa, Perhaad Mistry, and David Kaeli

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Tags: Computer science, Matrix multiplication, Memory model, nVidia, nVidia GeForce 8800 Ultra, nVidia GeForce GTX 285, OpenCL, Optimization

February 16, 2011 by hgpu

An experimental study on performance portability of OpenCL kernels

Sean Rul, Hans Vandierendonck, Joris D'Haene and Koen De Bosschere

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Tags: ATI, ATI FirePro V8700, Cell processor, Computer science, nVidia, OpenCL, Performance, Playstation, Tesla C1060

February 16, 2011 by hgpu

Multi-agent traffic simulation with CUDA

D. Strippgen, K. Nagel

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Tags: Computer science, CUDA, Games, nVidia, nVidia GeForce 8600 GT, nVidia GeForce GTX 280

February 16, 2011 by hgpu

Cyclic Reduction Tridiagonal Solvers on GPUs Applied to Mixed-Precision Multigrid

Dominik Goeddeke and Robert Strzodka

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Tags: Computer science, CUDA, Finite element method, Mixed precision, nVidia, nVidia GeForce GTX 280

February 15, 2011 by hgpu

PRNG Random Numbers on GPU

W. B. Langdon

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Source codes

Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, Package, Pseudo-random number generators, RapidMind

February 15, 2011 by hgpu

A Fast High Quality Pseudo Random Number Generator for Graphics Processing Units

W. B. Langdon

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, Package, Pseudo-random number generators, RapidMind

February 15, 2011 by hgpu

A CUDA SIMT Interpreter for Genetic Programming

W. B. Langdon

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Tags: Computer science, CUDA, Genetic programming, nVidia, Package, Tesla T10P

February 15, 2011 by hgpu

Evolving gzip matches Kernel from an nVidia CUDA Template

W. B. Langdon and M. Harman

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Tags: Computer science, CUDA, Genetic programming, nVidia, nVidia GeForce GTX 295

February 15, 2011 by hgpu

Graphics Processing Units and Genetic Programming: An overview

W. B. Langdon

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Tags: Bioinformatics, Computer science, CUDA, Genetic programming, nVidia, Review

February 15, 2011 by hgpu

Simulation Modelling and Visualisation: Toolkits for Building Artificial Worlds

D.P. Playne, A.P. Gerdelan, A. Leist, C.J. Scogings and K.A. Hawick

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Tags: Algorithms, Computer science, OpenGL, Visualization

February 14, 2011 by hgpu

Visualising Interfaces in Scalar and Vector Field-Model Simulations

D.P. Playne and K.A. Hawick

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Tags: Algorithms, Computer science, Visualization

February 14, 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

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high performance computing on graphics processing units: hgpu.org

Applications

GpuC: Data parallel language extension to CUDA

Static Memory Access Pattern Analysis on a Massively Parallel GPU

An experimental study on performance portability of OpenCL kernels

Multi-agent traffic simulation with CUDA

Cyclic Reduction Tridiagonal Solvers on GPUs Applied to Mixed-Precision Multigrid

PRNG Random Numbers on GPU

A Fast High Quality Pseudo Random Number Generator for Graphics Processing Units

A CUDA SIMT Interpreter for Genetic Programming

Evolving gzip matches Kernel from an nVidia CUDA Template

Graphics Processing Units and Genetic Programming: An overview

Simulation Modelling and Visualisation: Toolkits for Building Artificial Worlds

Visualising Interfaces in Scalar and Vector Field-Model Simulations

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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