high performance computing on graphics processing units: hgpu.org

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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

Optimizing MapReduce for GPUs with effective shared memory usage

Linchuan Chen, Gagan Agrawal

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Tags: Computer science, Heterogeneous systems, MapReduce, Memory, nVidia, nVidia Quadro FX 5800, Performance

July 16, 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

Distributed OpenCL: a platform for distributed, heterogeneous computing for domain scientists

William H. Dillon (William Hall)

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Tags: ATI, ATI Radeon HD 4870, Computer science, Distributed computing, Heterogeneous systems, nVidia, nVidia GeForce GTX 285, OpenCL

July 16, 2012 by hgpu

Coupling between Meshless FEM Modeling and Rendering on GPU for Real-time Physically-based Volumetric Deformation

Muhammad Mobeen Movania, Feng Lin, Kemao Qian, Wei Ming Chiew, Hock Soon Seah

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Tags: Algorithms, Computer science, FEM, Finite element method, GLSL, nVidia, nVidia Quadro FX 5800, OpenGL, Real-time graphics, Rendering

July 15, 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

Implementing a Code Generator for Fast Matrix Multiplication in OpenCL on the GPU

Kazuya Matsumoto, Naohito Nakasato, Stanislav G. Sedukhin

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Tags: ATI, ATI Radeon HD 7970, Code generation, Computer science, Matrix multiplication, OpenCL

July 15, 2012 by hgpu

Distributed OpenCL Distributing OpenCL Platform on Network Scale

Baris Eskikaya, D Turgay Altilar

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Tags: ATI, ATI Radeon HD 6370 M, Computer science, Distributed computing, GPU cluster, nVidia, nVidia GeForce GT 240 M, nVidia GeForce GT 520 M, nVidia GeForce GT 525 M, nVidia GeForce GTX 540 M, nVidia GeForce GTX 555 M, OpenCL

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

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high performance computing on graphics processing units: hgpu.org

Applications

Multicore and Manycore Algorithms for Octrees

Optimizing MapReduce for GPUs with effective shared memory usage

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

Distributed OpenCL: a platform for distributed, heterogeneous computing for domain scientists

Coupling between Meshless FEM Modeling and Rendering on GPU for Real-time Physically-based Volumetric Deformation

ab-Stream: A Framework for programming Many-core

Implementing a Code Generator for Fast Matrix Multiplication in OpenCL on the GPU

Distributed OpenCL Distributing OpenCL Platform on Network Scale

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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