high performance computing on graphics processing units: hgpu.org

Programming

hgpu.org » Programming » CUDA

Robust GPGPU plugin development for RapidMiner

Andor Kovacs, Zoltan Prekopcsak

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Tags: Algorithms, Computer science, CUDA, Data mining, Nearest neighbour, nVidia, nVidia GeForce GTX 480

July 18, 2012 by hgpu

Fluid Simulation on Surfaces in the GPU

Leonardo Carvalho, Maria Andrade, Luiz Velho

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Tags: Algorithms, CUDA, Fluid dynamics, Fluid simulation, Navier-Stokes equations, NSEs, nVidia, nVidia GeForce GTX 470

July 18, 2012 by hgpu

CuNesl: Compiling Nested Data-Parallel Languages for SIMT Architectures

Yongpeng Zhang, Frank Mueller

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Tags: Computer science, CUDA, Data parallelism, nVidia, nVidia GeForce GTX 480

July 17, 2012 by hgpu

Interactively Simulating Fluid based on SPH and CUDA

Yige Tang, Zhongke Wu, Mingquan Zhou

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Tags: Computer science, CUDA, Fluid simulation, GLSL, nVidia, nVidia GeForce GTX 570, OpenGL

July 17, 2012 by hgpu

CUSIMANN: An optimized simulated annealing software for GPUs

Ana Maria Ferreiro Ferreiro, Jose Antonio Garcia Rodriguez, Jose German Lopez Salas, Carlos Vazquez Cendon

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Source codes

Tags: Algorithms, Computer science, CUDA, nVidia, Optimization, Package

July 17, 2012 by hgpu

Multicore and Manycore Algorithms for Octrees

Dhanavath Saida

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Tags: Algorithms, Computer science, CUDA, Databases, nVidia, nVidia GeForce GTX 480, Thesis

July 17, 2012 by hgpu

Sparse Matrix-Vector Multiplication on NVIDIA GPU

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

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Tags: Computer science, CUDA, nVidia, Sparse matrix, Tesla C2050, Tesla C2070

July 16, 2012 by hgpu

Sparse Matrix Matrix Multiplication on Hybrid CPU+GPU Platforms

Kiran Kumar Matam, Siva Rama Krishna Bharadwaj, Kishore Kothapalli

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Tags: Computer science, CUDA, Matrix multiplication, nVidia, Optimization, Sparse matrix, Tesla C2050

July 16, 2012 by hgpu

A Yoke of Oxen and a Thousand Chickens for Heavy Lifting Graph Processing

Abdullah Gharaibeh, Lauro Beltrao Costa, Elizeu Santos-Neto, Matei Ripeanu

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Tags: Computer science, CUDA, Graph theory, Heterogeneous systems, nVidia, Optimization, Performance, Programming Languages, Programming techniques, Tesla C2050

July 16, 2012 by hgpu

ab-Stream: A Framework for programming Many-core

Xinbiao Gan, Zhiying Wang, Li Shen, Qi Zhu

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Performance

July 15, 2012 by hgpu

A Performance Model for Memory Bandwidth Constrained Applications on Graphics Engines

Lin Ma, Roger D. Chamberlain

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Tags: Biology, BLAST, Computational biology, CUDA, Hashing, nVidia, nVidia GeForce GTX 480, Performance

July 15, 2012 by hgpu

Optimizing All-to-All and Allgather Communications on GPGPU Clusters

Ashish Kumar Singh

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Tags: Computer science, CUDA, GPU cluster, MPI, nVidia, Tesla C2050, Thesis

July 14, 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

See all packages

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high performance computing on graphics processing units: hgpu.org

Programming

Robust GPGPU plugin development for RapidMiner

Fluid Simulation on Surfaces in the GPU

CuNesl: Compiling Nested Data-Parallel Languages for SIMT Architectures

Interactively Simulating Fluid based on SPH and CUDA

CUSIMANN: An optimized simulated annealing software for GPUs

Multicore and Manycore Algorithms for Octrees

Sparse Matrix-Vector Multiplication on NVIDIA GPU

Sparse Matrix Matrix Multiplication on Hybrid CPU+GPU Platforms

A Yoke of Oxen and a Thousand Chickens for Heavy Lifting Graph Processing

ab-Stream: A Framework for programming Many-core

A Performance Model for Memory Bandwidth Constrained Applications on Graphics Engines

Optimizing All-to-All and Allgather Communications on GPGPU Clusters

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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