high performance computing on graphics processing units: hgpu.org

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Spectral Method Characterization on FPGA and GPU Accelerators

Karl Pereira, Peter Athanas, Heshan Lin, Wu Feng

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Tags: Computer science, CUDA, DSP, FFT, FPGA, nVidia, nVidia GeForce GTX 280, Performance, Tesla C2050

January 15, 2012 by hgpu

A Hybrid Circular Queue Method for Iterative Stencil Computations on GPUs

Yang Yang, Hui-Min Cui, Xiao-Bing Feng, Jing-Ling Xue

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Tags: Computer science, CUDA, nVidia, Performance, Tesla C2050

January 10, 2012 by hgpu

A class of communication-avoiding algorithms for solving general dense linear systems on CPU/GPU parallel machines

Marc Baboulin, Simplice Donfack, Laura Grigori, Adrien Remy, Stanimire Tomov, Jack Dongarra

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Tags: Algorithms, Computer science, CUDA, Factorization, Linear Algebra, nVidia, Performance, Tesla S2050

January 8, 2012 by hgpu

Block-asynchronous Multigrid Smoothers for GPU-accelerated Systems

Hartwig Anzt, Stanimire Tomov, Mark Gates, Jack Dongarra, Vincent Heuveline

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Tags: Algorithms, Computer science, CUDA, Linear Algebra, nVidia, Performance, Tesla C2070

January 8, 2012 by hgpu

Implementation of Kd-Trees on the GPU to Achieve Real Time Graphics Processing

Will W. Martin

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Tags: 3D Graphics and Realism, Algorithms, Computer science, KD-tree, nVidia, Performance, Raytracing

January 8, 2012 by hgpu

A GPU Implementation of Inclusion-based Points-to Analysis

Mario Mendez-Lojo, Martin Burtscher, Keshav Pingali

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Source codes

Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, Package, Performance, Programming techniques, Tesla C2070

January 5, 2012 by hgpu

PARRAY: A Unifying Array Representation for Heterogeneous Parallelism

Yifeng Chen, Xiang Cui, Hong Mei

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Tags: Code generation, Computer science, CUDA, FFT, GPU cluster, Heterogeneous systems, MPI, nVidia, Optimization, Performance, Programming techniques, Pthreads, Tesla C1060

January 5, 2012 by hgpu

Efficient mapping of the training of Convolutional Neural Networks to a CUDA-based cluster

Jonatan Ward, Sergey Andreev, Francisco Heredia, Bogdan Lazar, Zlatka Manevska

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Tags: Algorithms, CNN, Computer science, CUDA, GPU cluster, Neural networks, nVidia, nVidia GeForce GTX 570, Performance

January 4, 2012 by hgpu

Automatic SIMD Code Generation

Roland Leissa

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Tags: Algorithms, Code generation, Computer science, Optimization, Performance, Software Engineering, Thesis

January 4, 2012 by hgpu

Extending a C-like Language for Portable SIMD Programming

Roland Leissa, Sebastian Hack, Ingo Wald

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Tags: Compilers, Computer science, High-level Languages, Intel, Performance

January 4, 2012 by hgpu

Architecture-Aware Mapping and Optimization on a 1600-Core GPU

Mayank Daga, Thomas Scogland, Wu-chun Feng

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Tags: ATI, ATI Radeon HD 5870, Computer science, CUDA, Molecular modeling, nVidia, nVidia GeForce GTX 280, OpenCL, Optimization, Performance

January 3, 2012 by hgpu

Process Time Comparison between GPU and CPU

Abhranil Das

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Tags: Computer science, CUDA, nVidia, Performance, Tesla C870

January 2, 2012 by hgpu

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

PELSI: Power-Efficient Layer-Switched Inference

Efficient deep learning inference on end devices

Ouroboros: Virtualized Queues for dynamic memory management

Dynamic Memory Management on GPUs with SYCL

See all packages

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high performance computing on graphics processing units: hgpu.org

Spectral Method Characterization on FPGA and GPU Accelerators

A Hybrid Circular Queue Method for Iterative Stencil Computations on GPUs

A class of communication-avoiding algorithms for solving general dense linear systems on CPU/GPU parallel machines

Block-asynchronous Multigrid Smoothers for GPU-accelerated Systems

Implementation of Kd-Trees on the GPU to Achieve Real Time Graphics Processing

A GPU Implementation of Inclusion-based Points-to Analysis

PARRAY: A Unifying Array Representation for Heterogeneous Parallelism

Efficient mapping of the training of Convolutional Neural Networks to a CUDA-based cluster

Automatic SIMD Code Generation

Extending a C-like Language for Portable SIMD Programming

Architecture-Aware Mapping and Optimization on a 1600-Core GPU

Process Time Comparison between GPU and CPU

Recent source codes

XaaS containers

microSYCL: SYCL micro-benchmarks repository

SYCL Container

CASS: Cuda-Amd aSSembly

Cluser of smartphones for edge computing application using TensorFlow

CFAL-bench

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

PELSI: Power-Efficient Layer-Switched Inference

Ouroboros: Virtualized Queues for dynamic memory management

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