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Performance Improvement of Multichannel Audio by Graphics Processing Units

Jose Antonio Belloch Rodriguez

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Tags: Acoustics, Algorithms, Computer science, CUDA, Databases, Filtering, nVidia, nVidia GeForce GTS 360 M, nVidia GeForce GTX 590, nVidia GeForce GTX 690, nVidia Quadro FX 5800, OpenCL, Rendering, Signal processing, Tesla C2070, Tesla K20, Thesis

October 11, 2014 by hgpu

Implementation of a Multi-User Detector for Satellite Return Links on a GPU Platform

Francisco Lazaro Blasco, Chen Tang

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Tags: CUDA, nVidia, Signal processing, Tesla C2070

September 30, 2014 by hgpu

Decoupling algorithms from the organization of computation for high performance image processing

Fredo Durand, Saman Amarashinghe

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Tags: Algorithms, CUDA, Image processing, nVidia, Sensing, Tesla C2070, Thesis

September 29, 2014 by hgpu

XBOOLE-CUDA: Fast Boolean Operations on the GPU

Bernd Steinbach, Matthias Werner

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 690, Tesla C2070

September 29, 2014 by hgpu

Simulating spiking neural networks on massively parallel graphical processing units using a code generation approach with GeNN

Esin Yavuz, James Turner, Thomas Nowotny

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Source codes

Tags: Bioinformatics, Biology, Code generation, CUDA, Neural networks, Neuroscience, nVidia, Package, Tesla C2070

July 28, 2014 by hgpu

Multi-Core Programming Design Patterns: Stream Processing Algorithms for Dynamic Scene Perceptions

Kannappan Palaniappan

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Tags: Algorithms, Benchmarking, Cell processor, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 460, Tesla C2070

July 24, 2014 by hgpu

Abstraction and Implementation of Unstructured Grid Algorithms on Massively Parallel Heterogeneous Architectures

Istvan Zoltan Reguly

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Tags: Algorithms, Code generation, Computer science, CUDA, Differential equations, FEM, Finite element method, Finite volume method, Fluid dynamics, Heterogeneous systems, Linear Algebra, nVidia, Partial differential equations, PDEs, Programming techniques, Tesla C2070, Tesla K20, Tesla K40, Thesis

July 24, 2014 by hgpu

An execution model for adaptive load-balancing on multicore and multi-GPU systems

Christopher Lauderdale, Robert Springer, Rishi Khan

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, OpenCL, Tesla C2070

July 20, 2014 by hgpu

Implementation & Parallelisation of FDTD code for Electromagnetic Scattering

Deshpande Varadendra Ravindra

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Tags: Algorithms, CUDA, Electrodynamics, FDTD, Finite-difference time-domain, MPI, nVidia, OpenMPI, Tesla C2070, Thesis

July 18, 2014 by hgpu

GPU Techniques Applied to Euler Flow Simulations and Comparison to CPU Performance

Blake Koop

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Tags: CUDA, Fluid dynamics, nVidia, Performance, Tesla C2070

July 14, 2014 by hgpu

Parallelized Hierarchical Expected Matching Probability for Multiple Sequence Alignment

Kedhar M, DR. M. Rajasekhara Babu, Mayank G, Abhinivesh M

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Tags: Bioinformatics, Biology, CUDA, nVidia, Programming techniques, RNA, Sequence alignment, Tesla C2070

July 12, 2014 by hgpu

Development of a Restricted Additive Schwarz Preconditioner for Sparse Linear Systems on NVIDIA GPU

Hui Liu, Zhangxin Chen, Song Yu, Ben Hsieh, Lei Shao

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Tags: Algorithms, Computer science, CUDA, Linear Algebra, nVidia, Sparse linear iterative solvers, Sparse matrix, Tesla C2050, Tesla C2070

July 11, 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

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Performance Improvement of Multichannel Audio by Graphics Processing Units

Implementation of a Multi-User Detector for Satellite Return Links on a GPU Platform

Decoupling algorithms from the organization of computation for high performance image processing

XBOOLE-CUDA: Fast Boolean Operations on the GPU

Simulating spiking neural networks on massively parallel graphical processing units using a code generation approach with GeNN

Multi-Core Programming Design Patterns: Stream Processing Algorithms for Dynamic Scene Perceptions

Abstraction and Implementation of Unstructured Grid Algorithms on Massively Parallel Heterogeneous Architectures

An execution model for adaptive load-balancing on multicore and multi-GPU systems

Implementation & Parallelisation of FDTD code for Electromagnetic Scattering

GPU Techniques Applied to Euler Flow Simulations and Comparison to CPU Performance

Parallelized Hierarchical Expected Matching Probability for Multiple Sequence Alignment

Development of a Restricted Additive Schwarz Preconditioner for Sparse Linear Systems on NVIDIA GPU

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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