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hgpu.org » Auto-Tuning

Input-Aware Auto-Tuning of Compute-Bound HPC Kernels

Philippe Tillet, David Cox

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Tags: Auto-Tuning, Computer science, CUDA, Deep learning, nVidia, nVidia GeForce GTX 980 Ti, OpenCL, Package, Performance, PTX, Tesla P100

February 17, 2018 by hgpu

Revisiting Online Autotuning for Sparse-Matrix Vector Multiplication Kernels on Next-Generation Architectures

Simon Garcia De Gonzalo, Simon D. Hammond, Christian R. Trott, Wen-Mei Hwu

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Tags: Auto-Tuning, Computer science, CUDA, Intel Xeon Phi, nVidia, Sparse matrix, Tesla K20, Tesla K40, Tesla K80, Tesla P100

January 28, 2018 by hgpu

A Survey on Compiler Autotuning using Machine Learning

Amir H. Ashouri, William Killian, John Cavazos, Gianluca Palermo, Cristina Silvano

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Tags: Auto-Tuning, Compilers, Computer science, Machine learning, Performance

January 28, 2018 by hgpu

Guided Profiling for Auto-Tuning Array Layouts on GPUs

Nicolas Weber, Sandra C. Amend and Michael Goesele

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Tags: Array Layouts, Auto-Tuning, CUDA, Profiling

February 9, 2016 by mergian

clMF: A fine-grained and portable alternating least squares algorithm for parallel matrix factorization

NengoDL: Combining deep learning and neuromorphic modelling methods

Marian: Cost-effective High-Quality Neural Machine Translation in C++

IntelCaffe

Highly Efficient 8-bit Low Precision Inference of Convolutional Neural Networks with IntelCaffe

HXTSort: a single header library including lightning fast Parallel Radix Sort macros

One machine, one minute, three billion tetrahedra

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high performance computing on graphics processing units: hgpu.org

Input-Aware Auto-Tuning of Compute-Bound HPC Kernels

Revisiting Online Autotuning for Sparse-Matrix Vector Multiplication Kernels on Next-Generation Architectures

A Survey on Compiler Autotuning using Machine Learning

Guided Profiling for Auto-Tuning Array Layouts on GPUs

Recent source codes

MemeProject

DeepMind Lab

NCRF++: open-source Neural Sequence Labeling Toolkit

indigo: High-Performance Structured Linear Operators

clava: C/C++ Source-to-Source Tool based on Clang

clMF: A fine-grained and portable alternating least squares algorithm for parallel matrix factorization

NengoDL: Combining deep learning and neuromorphic modelling methods

Marian: Cost-effective High-Quality Neural Machine Translation in C++

IntelCaffe

HXTSort: a single header library including lightning fast Parallel Radix Sort macros

Most viewed papers (last 30 days)

Featured events

The Third International Workshop on GPU Computing and AI (GCA), 2018

The 5th International Conference on Power and Energy Systems Engineering (CPESE), 2018

The 10th International Conference on Information Management and Engineering (ICIME), 2018

The 4th International Conference on Control Science and Systems Engineering (ICCSSE), 2018

The 2018 International Conference on Cloud Computing and Internet of Things (CCIOT’18), 2018