high performance computing on graphics processing units: hgpu.org

Jorge Frances Monllor, Sergio Bleda Perez, Sergi Gallego Rico, Cristian Neipp Lopez, Andres Marquez Ruiz, Inmaculada Pascual Villalobos, Augusto Belendez Vazquez

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Tags: CUDA, Electrodynamics, Electrostatic potential, Electrostatics, FDTD, FEM, Finite element method, Finite-difference time-domain, nVidia, nVidia GeForce GTX 470

December 13, 2011 by hgpu

RaVioli: a GPU Supported High-Level Pseudo Real-time Video Processing Library

Katsuhiko Kondo, Takafumi Inaba, Hiroko Sakurai, Masaomi Ohno, Tomoaki Tsumura, Hiroshi Matsuo

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GTX 280

December 13, 2011 by hgpu

Parallel Implementations of Beamforming Design and Filtering for Microphone Array Applications

Jorge Lorente, Gema Pinero, Antonio M. Vidal, Jose Antonio Belloch, Alberto Gonzalez

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Tags: Algorithms, CUDA, Filtering, nVidia, nVidia GeForce GTX 285, Signal processing

December 13, 2011 by hgpu

Collision-Driven Volumetric Deformation on the GPU

G. Aldrich, D. Pinskiy, B. Hamann

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 460

December 13, 2011 by hgpu

Lattice Boltzmann Simulation of Binary Mixture Diffusion Using Modern Graphics Processors

Mohammad Amin Safi, Mahmud Ashrafizaadeh, Amir Ali Ashrafizaadeh

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Tags: CUDA, Fluid dynamics, Lattice Boltzmann model, nVidia, Optimization, Tesla C1060

December 13, 2011 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

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

Water Surface Animation using Damped Wave Equation and CUDA Acceleration

Development of an unified FDTD-FEM library for electromagnetic analysis with CPU and GPU computing

RaVioli: a GPU Supported High-Level Pseudo Real-time Video Processing Library

Parallel Implementations of Beamforming Design and Filtering for Microphone Array Applications

Collision-Driven Volumetric Deformation on the GPU

Lattice Boltzmann Simulation of Binary Mixture Diffusion Using Modern Graphics Processors

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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