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Model-Driven Tile Size Selection for DOACROSS Loops on GPUs

Peng Di, Jingling Xue

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Tags: Computer science, CUDA, nVidia, Performance, Programming techniques, Tesla C1060

February 20, 2012 by hgpu

An Efficient Implementation of Double Precision 1-D FFT for GPUs Using CUDA

Yanjun Liu, Licai Guo, Bin Luo, Xingyi Zhang

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Tags: Algorithms, Computer science, CUDA, FFT, nVidia, nVidia GeForce GTX 260, Programming techniques

February 17, 2012 by hgpu

Cross Teaching Parallelism and Ray Tracing: A Project-based Approach to Teaching Applied Parallel Computing

Chris Lupo, Zoe J. Wood, Christine Victorino

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Tags: Computer science, CUDA, Education, nVidia, nVidia GeForce GTX 470, Performance, Programming techniques, Raytracing, Rendering

February 14, 2012 by hgpu

Automatic Performance Optimization in ViennaCL for GPUs

Karl Rupp, Josef Weinbub, Florian Rudolf

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Tags: Algorithms, ATI, ATI Radeon HD 5850, Computer science, Linear Algebra, nVidia, nVidia GeForce 8500 GT, nVidia GeForce GTX 470, OpenCL, Optimization, Package, Performance, Programming techniques

February 10, 2012 by hgpu

Enabling Traceability in MDE to Improve Performance of GPU Applications

Antonio Wendell De Oliveira Rodrigues, Vincent Aranega, Anne Etien, Frederic Guyomarc'H, Jean-Luc Dekeyser

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Tags: Algorithms, Computer science, nVidia, OpenCL, Performance, Programming techniques, Tesla S1070

February 7, 2012 by hgpu

Automated Techniques for Enabling Efficient MPI Application Migration

Karolina Sarnowska-Upton, Andrew Grimshaw

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Tags: Computer science, MPI, Programming techniques

January 20, 2012 by hgpu

Asymptotic Peak Utilisation in Heterogeneous Parallel CPU/GPU Pipelines: A Decentralised Queue Monitoring Strategy

Michael T. Garba, Horacio Gonzalez-Velez

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Tags: Computer science, Heterogeneous systems, Linear Algebra, Programming techniques

January 19, 2012 by hgpu

A Template Metaprogramming Approach to Support Parallel Programs for Multicores

Xin Liu, Daqiang Zhang, Jingyu Zhou, Minyi Guo, Yao Shen

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Tags: Computer science, nVidia, nVidia GeForce 9400 M, OpenCL, Optimization, Package, Programming techniques

January 17, 2012 by hgpu

Programming on Parallel Machines: GPU, Multicore, Clusters and More

Norm Matloff

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Tags: Book, Computer science, CUDA, MPI, nVidia, Package, Programming techniques, Review, Tutorial

January 16, 2012 by hgpu

GKLEE: Concolic Verification and Test Generation for GPUs

Guodong Li, Peng Li, Geof Sawaya, Ganesh Gopalakrishnan, Indradeep Ghosh, Sreeranga P. Rajan

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Programming techniques

January 12, 2012 by hgpu

Lossless Compression of Variable-Precision Floating-Point Buffers on GPUs

Jeff Pool, Anselmo Lastra, Montek Singh

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Tags: Compression, Computer science, Programming techniques

January 6, 2012 by hgpu

A GPU Implementation of Inclusion-based Points-to Analysis

Mario Mendez-Lojo, Martin Burtscher, Keshav Pingali

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Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, Package, Performance, Programming techniques, Tesla C2070

January 5, 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

Model-Driven Tile Size Selection for DOACROSS Loops on GPUs

An Efficient Implementation of Double Precision 1-D FFT for GPUs Using CUDA

Cross Teaching Parallelism and Ray Tracing: A Project-based Approach to Teaching Applied Parallel Computing

Automatic Performance Optimization in ViennaCL for GPUs

Enabling Traceability in MDE to Improve Performance of GPU Applications

Automated Techniques for Enabling Efficient MPI Application Migration

Asymptotic Peak Utilisation in Heterogeneous Parallel CPU/GPU Pipelines: A Decentralised Queue Monitoring Strategy

A Template Metaprogramming Approach to Support Parallel Programs for Multicores

Programming on Parallel Machines: GPU, Multicore, Clusters and More

GKLEE: Concolic Verification and Test Generation for GPUs

Lossless Compression of Variable-Precision Floating-Point Buffers on GPUs

A GPU Implementation of Inclusion-based Points-to Analysis

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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