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Minimising Testing in Genetic Programming

W. B. Langdon

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Tags: Algorithms, Artificial intelligence, Computer science, CUDA, Genetic programming, nVidia, Software Engineering

December 15, 2011 by hgpu

Speed sign detection and recognition by convolutional neural networks

Maurice Peemen, Bart Mesman, Henk Corporaal

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Tags: Algorithms, CNN, Computer science, Computer vision, CUDA, Image recognition, Neural networks, nVidia, nVidia GeForce GTX 460

December 15, 2011 by hgpu

Graph Generation on GPUs using Dynamic Memory Allocation

A. Leist, K.A. Hawick

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Tags: Algorithms, Benchmarking, Computer science, CUDA, Graph theory, Memory model, nVidia, nVidia GeForce GTX 580, Performance

December 14, 2011 by hgpu

Fast thermal simulation of 2D/3D integrated circuits exploiting neural networks and GPUs

Alessandro Vincenzi, Arvind Sridhar, Martino Ruggiero, David Atienza

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Tags: Computer science, CUDA, Neural networks, nVidia, nVidia GeForce GTX 480

December 14, 2011 by hgpu

Power consumption of mixed precision in the iterative solution of sparse linear systems

Hartwig Anzt, Vincent Heuveline, Bjorn Rocker, Maribel Castillo, Juan C. Fernandez, Rafael Mayo, Enrique S. Quintana-Orti

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Tags: Algorithms, Computer science, CUDA, Energy-efficient computing, Mixed precision, nVidia, Tesla C1060

December 14, 2011 by hgpu

Rethinking Runtime Verification on Hundreds of Cores: Challenges and Opportunities

Tayfun Elmas, Semih Okur, Serdar Tasiran

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 465, Performance

December 14, 2011 by hgpu

Fast Neural Network Training on General Purpose Computers

Harshit Kharbanda, Roy H. Campbell

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Tags: Benchmarking, Computer science, CUDA, Neural networks, nVidia, nVidia Quadro FX 1800

December 14, 2011 by hgpu

Toward Accelerating the Matrix Inversion Computation of Symmetric Positive-Definite Matrices on Heterogeneous GPU-Based Systems

Huda Ibeid, Dinesh Kaushik, David Keyes, Hatem Ltaief

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Tags: Algorithms, Computer science, CUDA, Factorization, Heterogeneous systems, Matrix inversion, nVidia, Tesla C2070

December 14, 2011 by hgpu

Accelerating Live Graph-Cut-Based Object Tracking Using CUDA

Ismael Daribo, Zachary A. Garrett, Yuki Takaya, Hideo Saito

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Tags: Computer science, Computer vision, CUDA, Image processing, nVidia, nVidia GeForce GTX 280

December 14, 2011 by hgpu

Voxelized Minkowski sum computation on the GPU with robust culling

Wei Li, Sara McMains

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Tags: Algorithms, CAD, Computer science, CUDA, Floating point error, nVidia, nVidia Quadro FX 5800, Voxelization

December 14, 2011 by hgpu

Automatic library generation for BLAS3 on GPUs

Huimin Cui, Lei Wang, Jingling Xue, Yang Yang, Xiaobing Feng

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Tags: Algorithms, Computer science, CUBLAS, Linear Algebra, nVidia, nVidia GeForce 9800 GTX, nVidia GeForce GTX 285, Optimization, Tesla C2050

December 13, 2011 by hgpu

Developing an OO Model for Generalized Matrix Multiplication: Preliminary Considerations

Maria Ganzha, Marcin Paprzycki, Stanislav G. Sedukhin

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Tags: Algorithms, Computer science, Linear Algebra, Matrix multiplication

December 13, 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

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high performance computing on graphics processing units: hgpu.org

Minimising Testing in Genetic Programming

Speed sign detection and recognition by convolutional neural networks

Graph Generation on GPUs using Dynamic Memory Allocation

Fast thermal simulation of 2D/3D integrated circuits exploiting neural networks and GPUs

Power consumption of mixed precision in the iterative solution of sparse linear systems

Rethinking Runtime Verification on Hundreds of Cores: Challenges and Opportunities

Fast Neural Network Training on General Purpose Computers

Toward Accelerating the Matrix Inversion Computation of Symmetric Positive-Definite Matrices on Heterogeneous GPU-Based Systems

Accelerating Live Graph-Cut-Based Object Tracking Using CUDA

Voxelized Minkowski sum computation on the GPU with robust culling

Automatic library generation for BLAS3 on GPUs

Developing an OO Model for Generalized Matrix Multiplication: Preliminary Considerations

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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