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Heterogeneous computing with an algorithmic skeleton framework

Fabio Miguel Cardoso Soldado

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Tags: Algorithms, ATI, ATI Radeon HD 7950, Computer science, Heterogeneous systems, OpenCL, Programming techniques, Thesis

October 20, 2014 by hgpu

Fast-Fourier-Transform-Based Electrical Noise Measurements

Alexander Schade

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Tags: Data acquisition, nVidia, nVidia GeForce GTX 680, OpenCL, Signal processing, Thesis

October 20, 2014 by hgpu

The Distribution of OpenCL Kernel Execution Across Multiple Devices

Steven Gurfinkel

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Tags: Computer science, nVidia, OpenCL, Tesla M2090, Thesis

October 16, 2014 by hgpu

OpenCL Implementation of Montgomery Multiplication on FPGA

Mehmet Ufuk Buyuksahin

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Tags: Algorithms, Computer science, FPGA, Heterogeneous systems, nVidia, nVidia GeForce GT 435 M, nVidia GeForce GT 630, nVidia GeForce GTX 780, OpenCL, Security, Thesis

October 16, 2014 by hgpu

Parallel Programming and Compressed Material Data for an Eulerian Code

Matthew Thomas Calef, John Greaton Wohlbier

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Tags: CUDA, nVidia, OpenCL, Physics, Tesla M2090

October 16, 2014 by hgpu

Pipelined Iterative Solvers with Kernel Fusion for Graphics Processing Units

Karl Rupp, Josef Weinbub, Ansgar Jungel, Tibor Grasser

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Tags: AMD FirePro W9000, AMD FirePro W9100, ATI, Computer science, Conjugate gradient solver, CUDA, Linear Algebra, nVidia, OpenCL, Tesla C2050, Tesla K20

October 16, 2014 by hgpu

A Case Study of OpenCL on an Android Mobile GPU

James A. Ross, David A. Richie, Song J. Park, Dale R. Shires, Lori L. Pollock

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Tags: ARM, ATI, ATI Radeon HD 6970, Computer science, N-body simulation, OpenCL

October 14, 2014 by hgpu

Towards Efficient Indexing of Spatiotemporal Trajectories on the GPU for Distance Threshold Similarity Searches

Michael Gowanlock, Henri Casanova

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Tags: Algorithms, Astrophysics, Computer science, nVidia, OpenCL, Tesla C2075

October 13, 2014 by hgpu

Interactive Simulations with Navier-Stokes Equations on many-core Architectures

Stefan Bartels

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Tags: Fluid dynamics, Fluid simulation, Navier-Stokes equations, NSEs, OpenCL, OpenGL, Visualization

October 11, 2014 by hgpu

Monte Carlo Path Tracing with OpenCL

Andrej Bukosek

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Tags: Computer science, Intel HD 4600, OpenCL, Raytracing, Rendering

October 11, 2014 by hgpu

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

Introducing SLAMBench, a performance and accuracy benchmarking methodology for SLAM

Luigi Nardi, Bruno Bodin, M. Zeeshan Zia, John Mawer, Andy Nisbet, Paul H. J. Kelly, Andrew J. Davison, Mikel Lujan, Michael F. P. O'Boyle, Graham Riley, Nigel Topham, Steve Furber

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Tags: Algorithms, ARM, Benchmarking, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX Titan, OpenCL, Performance

October 10, 2014 by hgpu

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

Kokkidio: Fast, expressive, portable code, based on Kokkos and Eigen

LLaMA-Inference-Bench

LLM-Inference-Bench: Inference Benchmarking of Large Language Models on AI Accelerators

MATAR

On a Simplified Approach to Achieve Parallel Performance and Portability Across CPU and GPU Architectures

Over-synchronization in GPU Programs

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

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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