high performance computing on graphics processing units: hgpu.org

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Task-based FMM for heterogeneous architectures

Emmanuel Agullo, Berenger Bramas, Olivier Coulaud, Eric Darve, Matthias Messner, Toru Takahashi

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Tags: Computer science, CUDA, Fast multipole method, Heterogeneous systems, Numerical simulation, nVidia, Tesla M2070, Tesla M2090

April 9, 2014 by hgpu

Bayesian Sparse Unsupervised Learning for Probit Models of Binary Data

Ari Pakman, Ben Shababo, Liam Paninski

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Tags: Bayesian, Computer science, CUDA, nVidia, Python

April 9, 2014 by hgpu

Reducing the Disk IO Bandwidth Bottleneck through Fast Floating Point Compression using Accelerators

Ajith Padyana, Devi Sudheer, Pallav Kumar Baruah, Ashok Srinivasan

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Tags: Algorithms, Cell processor, Compression, Computer science, CUDA, nVidia, Tesla M2050

April 9, 2014 by hgpu

Literature Review: Parallel Computing on linear equations of linear elastic FEM stimulation with CUDA

Zheng Xia

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Tags: Computer science, CUDA, Differential equations, nVidia, Partial differential equations, PDEs, Review

April 9, 2014 by hgpu

Exploring the power of GPU’s for training Deep Belief Networks

Vivek Kulkarni

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Tags: Computer science, CUDA, Machine learning, Neural networks, nVidia, nVidia GeForce GTX 570

April 9, 2014 by hgpu

A New Non-Blocking Approach on GPU Dynamical Memory Management

Yu-Shiang Lin, Chun-Yuan Lin, Jon-Yu Lee

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Tags: Computer science, CUDA, Memory model, nVidia, Performance, Tesla K20

April 7, 2014 by hgpu

A New Digital Repository for Hyperspectral Imagery with Unmixing-Based Retrieval Functionality Implemented on GPUs

Jorge Sevilla, Antonio Plaza

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Tags: CUDA, Image processing, nVidia, Sensing, Tesla C2050

April 7, 2014 by hgpu

Detection of a faint fast-moving near-Earth asteroid using synthetic tracking technique

Chengxing Zhai, Michael Shao, Bijan Nemati, Thomas Werne, Hanying Zhou, Slava G. Turyshev, Jagmit Sandhu, Gregg W. Hallinan, Leon K. Harding

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Tags: Astrophysics, CUDA, Earth and Planetary Astrophysics, Instrumentation and Methods for Astrophysics, nVidia, Tesla K20

April 7, 2014 by hgpu

A Study on Efficient Application Mapping on Parallel Computing Accelerators

Keisuke Dohi

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Tags: Algorithms, Computer science, CUDA, FDTD, Finite-difference time-domain, FPGA, MPI, nVidia, nVidia GeForce GTX 295, Smith-Waterman algorithm, Thesis

April 7, 2014 by hgpu

Parallel processing for SAR image generation in CUDA – GPGPU platform

Prajakta Tapkir, Saurabh Thakur, C. Bhattacharya

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Tags: Algorithms, CUDA, Image generation, nVidia, nVidia Quadro FX 1800, Signal processing, Tesla C870

April 7, 2014 by hgpu

Acceleration of a Full-scale Industrial CFD Application with OP2

Istvan Z. Reguly, Gihan R. Mudalige, Carlo Bertolli, Michael B. Giles, Adam Betts, Paul H. J. Kelly, David Radford

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Tags: Computer science, CUDA, Fluid dynamics, MPI, nVidia, Performance, Tesla K20

April 7, 2014 by hgpu

Implementing a Sparse Matrix Vector Product for the SELL-C/SELL-C-sigma formats on NVIDIA GPUs

Hartwig Anzt, Stanimire Tomov, Jack Dongarra

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Tags: Algorithms, Computer science, CUDA, Linear Algebra, nVidia, Sorting, Sparse matrix, Tesla K40

April 7, 2014 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

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high performance computing on graphics processing units: hgpu.org

Task-based FMM for heterogeneous architectures

Bayesian Sparse Unsupervised Learning for Probit Models of Binary Data

Reducing the Disk IO Bandwidth Bottleneck through Fast Floating Point Compression using Accelerators

Literature Review: Parallel Computing on linear equations of linear elastic FEM stimulation with CUDA

Exploring the power of GPU’s for training Deep Belief Networks

A New Non-Blocking Approach on GPU Dynamical Memory Management

A New Digital Repository for Hyperspectral Imagery with Unmixing-Based Retrieval Functionality Implemented on GPUs

Detection of a faint fast-moving near-Earth asteroid using synthetic tracking technique

A Study on Efficient Application Mapping on Parallel Computing Accelerators

Parallel processing for SAR image generation in CUDA – GPGPU platform

Acceleration of a Full-scale Industrial CFD Application with OP2

Implementing a Sparse Matrix Vector Product for the SELL-C/SELL-C-sigma formats on NVIDIA GPUs

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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