Dataset, and files related to its creation, uploaded to https://github.com/HPCA4SE-UAB/Building-a-dataset-for-classifying-OpenMP-parallelpatterns-via-Machine-Learning published at PDP with the title Building representative and balanced datasets of OpenMP parallel regions link: https://ieeexplore.ieee.org/document/9407037 New Dataset (ideal.7z) with new problem sizes and used to tune number of threads
With the increasing prevalence of multicore processors, shared-memory programming models are essenti...
Multi-core architectures have become more popular due to better performance, reduced heat dissipatio...
In recent years parallel computing has become ubiquitous. Lead by the spread of commodity multicore ...
Dataset, and files related to its creation, uploaded to https://github.com/HPCA4SE-UAB/Building-a-da...
Altres ajuts: Acord transformatiu CRUE-CSICIncorporating machine learning into automatic performance...
New approaches are necessary to generate performance models in current systems due the het erogeneit...
OpenMP, a directive-based API supports multithreading programming on shared memory systems. Since O...
Parallelisation is becoming more and more important as the single core performance increase is stagn...
OpenMP is a popular application programming interface (API) used to write shared-memory parallel pro...
Description This course includes topics on code optimization for x86 platforms (Intel and AMD CPUs)...
The efficient mapping of program parallelism to multi-core processors is highly dependent on the und...
We investigate the OpenMP parallelization and optimization of two novel data classification algorith...
We investigate the OpenMP parallelization and optimization of two novel data classification algorith...
This work was also published as a Rice University thesis/dissertation: http://hdl.handle.net/1911/18...
In this paper we will make an experimental description of the parallel programming using OpenMP. Usi...
With the increasing prevalence of multicore processors, shared-memory programming models are essenti...
Multi-core architectures have become more popular due to better performance, reduced heat dissipatio...
In recent years parallel computing has become ubiquitous. Lead by the spread of commodity multicore ...
Dataset, and files related to its creation, uploaded to https://github.com/HPCA4SE-UAB/Building-a-da...
Altres ajuts: Acord transformatiu CRUE-CSICIncorporating machine learning into automatic performance...
New approaches are necessary to generate performance models in current systems due the het erogeneit...
OpenMP, a directive-based API supports multithreading programming on shared memory systems. Since O...
Parallelisation is becoming more and more important as the single core performance increase is stagn...
OpenMP is a popular application programming interface (API) used to write shared-memory parallel pro...
Description This course includes topics on code optimization for x86 platforms (Intel and AMD CPUs)...
The efficient mapping of program parallelism to multi-core processors is highly dependent on the und...
We investigate the OpenMP parallelization and optimization of two novel data classification algorith...
We investigate the OpenMP parallelization and optimization of two novel data classification algorith...
This work was also published as a Rice University thesis/dissertation: http://hdl.handle.net/1911/18...
In this paper we will make an experimental description of the parallel programming using OpenMP. Usi...
With the increasing prevalence of multicore processors, shared-memory programming models are essenti...
Multi-core architectures have become more popular due to better performance, reduced heat dissipatio...
In recent years parallel computing has become ubiquitous. Lead by the spread of commodity multicore ...