Optimization of Heterogeneous Systems with AI Planning Heuristics and Machine Learning: A Performance and Energy Aware Approach

Autor: Suejb Memeti, Sabri Pllana

Heterogeneous computing systems provide high performance and energy efficiency. However, to optimally utilize such systems, solutions that distribute the work across host CPUs and accelerating devices are needed. In this paper, we present a performan

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2395ca1be37ddd141956916f9742e97d
http://arxiv.org/abs/2106.01441

Intelligent Systems Design and Applications : 22nd International Conference on Intelligent Systems Design and Applications (ISDA 2022) Held December 12-14, 2022 - Volume 3

Autor: Ajith Abraham, Sabri Pllana, Gabriella Casalino, Kun Ma, Anu Bajaj

This book highlights recent research on intelligent systems and nature-inspired computing. It presents 223 selected papers from the 22nd International Conference on Intelligent Systems Design and Applications (ISDA 2022), which was held online. The

Intelligent Systems Design and Applications : 22nd International Conference on Intelligent Systems Design and Applications (ISDA 2022) Held December 12-14, 2022 - Volume 1

Autor: Ajith Abraham, Sabri Pllana, Gabriella Casalino, Kun Ma, Anu Bajaj

This book highlights recent research on intelligent systems and nature-inspired computing. It presents 223 selected papers from the 22nd International Conference on Intelligent Systems Design and Applications (ISDA 2022), which was held online. The

Programming languages for data-Intensive HPC applications: A systematic mapping study

Autor: Vasco Amaral, Hugo Martiniano, Paulo Carreira, Clemens Grelck, Peter Kilpatrick, Sabri Pllana, Miguel Goulão, Beatriz Norberto, Ari Visa, Luis M. Correia, Ana Respício, Helen D. Karatza, Luís Veiga, Siegfried Benkner, Ilias Mavridis, José Simão, Edgars Celms, Christoph Kessler, Andrea Bracciali, Marco Aldinucci

Publikováno v: Repositório Científico de Acesso Aberto de Portugal
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
Parallel Computing, 91:102584. Elsevier

This work is a result of activities from COST Action 10406 High -Performance Modelling and Simulation for Big Data Applications (cHiPSet), funded by the European Cooperation in Science and Technology. FCT, Portugal for grants: NOVA LINCS Research Lab

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8a0d904f69a88f76875ab6501069437a
https://hdl.handle.net/10362/132902

PAPA: A parallel programming assistant powered by IBM Watson cognitive computing technology

Autor: Sabri Pllana, Suejb Memeti

Publikováno v: Journal of Computational Science. 26:275-284

The efficient utilization of the available resources in modern parallel computing systems requires advanced parallel programming expertise. However, parallel programming is more difficult than sequential programming. To alleviate the difficulties of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::284b06875a45620d995aa45a03ac7089
https://doi.org/10.1016/j.jocs.2018.01.001