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Optimizing dataflow applications on heterogeneous environments

George Teodoro, Timothy D. R. Hartley, Umit V. Catalyurek, Renato Ferreira

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce 8800 GT, nVidia GeForce GTX 260, Tesla C2050

June 19, 2012 by hgpu

Gdev: First-Class GPU Resource Management in the Operating System

Shinpei Kato, Michael McThrow, Carlos Maltzahn, Scott Brandt

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, Operating systems, Package

June 18, 2012 by hgpu

An Improved CUDA-Based Implementation of Differential Evolution on GPU

A. K. Qin, Federico Raimondo, Florence Forbes, Yew Soon Ong

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Tags: Computer science, CUDA, Differential evolution, nVidia, nVidia GeForce GTX 560

June 18, 2012 by hgpu

OpenCL for programming shared memory multicore CPUs

Akhtar Ali, Usman Dastgeer, Christoph Kessler

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Tags: Computer science, Heterogeneous systems, nVidia, OpenCL, Performance, Tesla M2050

June 18, 2012 by hgpu

OpenACC – First Experiences with Real-World Applications

Sandra Wienke, Paul Springer, Christian Terboven, Dieter an Mey

Tags: Computer science, Fortran, Heterogeneous systems, nVidia, OpenACC, OpenCL, Tesla C2050

June 18, 2012 by hgpu

GPUmotif: An Ultra-Fast and Energy-Efficient Motif Analysis Program Using Graphics Processing Units

Pooya Zandevakili, Ming Hu, Zhaohui Qin

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Tags: Algorithms, Biochemistry, Biology, Chemistry, Computational biology, Computer science, CUDA, Genetics, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 480, Package

June 17, 2012 by hgpu

Branch and Data Herding: Reducing Control and Memory Divergence for Error-tolerant GPU Applications

John Sartori, Rakesh Kumar

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Tags: Benchmarking, Computer science, CUDA, nVidia, nVidia GeForce GTX 480

June 17, 2012 by hgpu

ScatterAlloc: Massively Parallel Dynamic Memory Allocation for the GPU

Steinberger Markus, Kenzel Michael, Kainz Bernhard, Schmalstieg Dieter

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Tags: Computer science, CUDA, Hashing, Memory, nVidia, nVidia Quadro FX 6000, Package

June 16, 2012 by hgpu

E-MOGA: A General Purpose Platform for Multi Objective Genetic Algorithm running on CUDA

Sami M. Salamin, Mohammed Aldasht, Hashem Tamimi

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 9500 GTX, Optimization

June 16, 2012 by hgpu

Accelerating Lambert’s Problem on the GPU in MATLAB

Nathan L. Parrish

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Tags: Algorithms, Computer science, CUDA, Fortran, nVidia, nVidia GeForce GT 430, nVidia GeForce GT 540 M, nVidia GeForce GTX 560 Ti, Package

June 16, 2012 by hgpu

Parallel Primitives based Spatial Join of Geospatial Data on GPGPUs

Jianting Zhang

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Tags: Algorithms, Computer science, CUDA, Data parallelism, Databases, nVidia, nVidia Quadro FX 6000, Package

June 16, 2012 by hgpu

GiST Scan Acceleration using Coprocessors

Felix Beier, Torsten Kilias, Kai-Uwe Sattler

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Tags: Collision detection, Computer science, CUDA, nVidia, Raytracing, Tesla C2050

June 16, 2012 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

Applications

Optimizing dataflow applications on heterogeneous environments

Gdev: First-Class GPU Resource Management in the Operating System

An Improved CUDA-Based Implementation of Differential Evolution on GPU

OpenCL for programming shared memory multicore CPUs

OpenACC – First Experiences with Real-World Applications

GPUmotif: An Ultra-Fast and Energy-Efficient Motif Analysis Program Using Graphics Processing Units

Branch and Data Herding: Reducing Control and Memory Divergence for Error-tolerant GPU Applications

ScatterAlloc: Massively Parallel Dynamic Memory Allocation for the GPU

E-MOGA: A General Purpose Platform for Multi Objective Genetic Algorithm running on CUDA

Accelerating Lambert’s Problem on the GPU in MATLAB

Parallel Primitives based Spatial Join of Geospatial Data on GPGPUs

GiST Scan Acceleration using Coprocessors

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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