high performance computing on graphics processing units: hgpu.org

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Exploring LLVM Infrastructure for Simplified Multi-GPU Programming

Alexander Matz, Mark Hummel, Holger Froning

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Tags: Computer science, CUDA, LLVM, nVidia, OpenCL, Tesla K80

January 22, 2016 by hgpu

Basker: A Threaded Sparse LU Factorization Utilizing Hierarchical Parallelism and Data Layouts

Joshua Dennis Booth, Sivasankaran Rajamanickam, Heidi K. Thornquist

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Tags: Algorithms, Computer science, Factorization, Intel Xeon Phi, Sparse direct solvers, Sparse matrix

January 22, 2016 by hgpu

GPU Multisplit

Saman Ashkiani, Andrew Davidson, Ulrich Meyer, John D. Owens

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Tags: Algorithms, Computer science, CUDA, Databases, nVidia, nVidia GeForce GTX 750 Ti, Tesla K40

January 22, 2016 by hgpu

Adaptive and Hybrid Machine Learning Approaches Utilizing General Purpose Computing on Graphical Processing Units

Mohammed Abdelrahim

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Tags: Computer science, CUDA, Heterogeneous systems, LSTM, Machine learning, nVidia, nVidia GeForce GTX 770, OpenMP, Thesis

January 19, 2016 by hgpu

A framework for efficient execution on GPU and CPU+GPU systems

Jean-Francois Dollinger

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Tags: Code generation, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 590, nVidia GeForce GTX 680, Performance, Thesis

January 19, 2016 by hgpu

Homomorphic Autocomplete

Gizem S. Cetin, Wei Dai, Yarkin Doroz, Berk Sunar

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 690, Security

January 16, 2016 by hgpu

LHCb GPU acceleration project

A. Badalov, D. Campora, N. Neufeld, X. Vilasis-Cardona

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Tags: CUDA, High Energy Physics - Experiment, nVidia, nVidia GeForce GTX 680, Physics

January 16, 2016 by hgpu

Performance Analysis of Roberts Edge Detection Using CUDA and OpenGL

Marco Cali, Valeria Di Mauro

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Tags: CUDA, Edge detection, Image processing, nVidia, nVidia GeForce GTX 845 M, OpenGL, Performance

January 16, 2016 by hgpu

Contributions of hybrid architectures to depth imaging: a CPU, APU and GPU comparative study

Issam Said

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Tags: APU, Computer science, Geophysics, Geoscience, GPU cluster, MPI, nVidia, OpenCL, Tesla K40, Thesis

January 16, 2016 by hgpu

Classification of Higgs Boson Tau-Tau decays using GPU accelerated Neural Networks

Mohit Shridhar

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Tags: CUDA, Deep learning, High Energy Physics - Phenomenology, Machine learning, Neural networks, nVidia, Physics

January 14, 2016 by hgpu

Odyssey: A Public GPU-Based Code for General-Relativistic Radiative Transfer in Kerr Spacetime

Hung-Yi Pu, Kiyun Yun, Ziri Younsi, Suk-Jin Yoon

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Source codes

Tags: Astrophysics, CUDA, High Energy Astrophysical Phenomena, MPI, nVidia, nVidia GeForce GTX 780 Ti, Package, Raytracing

January 14, 2016 by hgpu

A Case for Work-stealing on FPGAs with OpenCL Atomics

Nadesh Ramanathan, John Wickerson, Felix Winterstein, George A. Constantinides

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Tags: Algorithms, Clustering, Computer science, FPGA, OpenCL

January 14, 2016 by hgpu

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

Profile Util library: A quick and easy way to get MPI, OpenMP and GPU runtime information

MaC: Mamba CPU performance predictor

MambaCPU: Enhanced Correlation Mining with State Space Models for CPU Performance Prediction

Mixed-precision finite element kernels

Mixed-precision finite element kernels and assembly: Rounding error analysis and hardware acceleration

SHMT: The Simultaneous and Heterogenous Multithreading project

General-Purpose Computing on Tensor Processors

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

Online Energy Optimization in GPUs: A Multi-Armed Bandit Approach

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

Exploring LLVM Infrastructure for Simplified Multi-GPU Programming

Basker: A Threaded Sparse LU Factorization Utilizing Hierarchical Parallelism and Data Layouts

GPU Multisplit

Adaptive and Hybrid Machine Learning Approaches Utilizing General Purpose Computing on Graphical Processing Units

A framework for efficient execution on GPU and CPU+GPU systems

Homomorphic Autocomplete

LHCb GPU acceleration project

Performance Analysis of Roberts Edge Detection Using CUDA and OpenGL

Contributions of hybrid architectures to depth imaging: a CPU, APU and GPU comparative study

Classification of Higgs Boson Tau-Tau decays using GPU accelerated Neural Networks

Odyssey: A Public GPU-Based Code for General-Relativistic Radiative Transfer in Kerr Spacetime

A Case for Work-stealing on FPGAs with OpenCL Atomics

Recent source codes

Kokkidio: Kokkos+Eigen - write fast, readable multi-platform code

LLaMA-Inference-Bench

MATAR

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

MaC: Mamba CPU performance predictor

Mixed-precision finite element kernels

SHMT: The Simultaneous and Heterogenous Multithreading project

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

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