Výsledky vyhledávání - "Mats Brorsson"

Akademický článek

Characterizing task-based OpenMP programs.

Autor: Ananya Muddukrishna, Peter A Jonsson, Mats Brorsson

Publikováno v: PLoS ONE, Vol 10, Iss 4, p e0123545 (2015)

Programmers struggle to understand performance of task-based OpenMP programs since profiling tools only report thread-based performance. Performance tuning also requires task-based performance in order to balance per-task memory hierarchy utilization

Externí odkaz: https://doaj.org/article/0d264dc000d241849f04d3596fe018b1

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Auto-clustering of Financial Reports Based on Formatting Style and Author’s Fingerprint

Autor: Braulio C. Blanco Lambruschini, Mats Brorsson, Maciej Zurad

Publikováno v: Communications in Computer and Information Science ISBN: 9783031236327

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::90be4a1ce0ae0e5cd57fb9f0dc2bfa85
https://doi.org/10.1007/978-3-031-23633-4_9

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Performance Modeling of Weather Forecast Machine Learning for Efficient HPC

Autor: Karthick Panner Selvam, Mats Brorsson

Publikováno v: 2022 IEEE 42nd International Conference on Distributed Computing Systems (ICDCS).

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0997d9e9e34741d642e7425e0fbea021
https://doi.org/10.1109/icdcs54860.2022.00127

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Message from Program Co-Chairs: PDP 2020

Autor: Masoud Daneshtalab, Mats Brorsson

Publikováno v: PDP

Parallel, Distributed, and Network-Based Processing has undergone impressive change over recent years. New architectures and applications have rapidly become the central focus of the discipline. These changes are often a result of cross-fertilization

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::072554aec55c73c9f7fb7d1c4499eb0b
https://doi.org/10.1109/pdp50117.2020.00006

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Locality-aware task scheduling for homogeneous parallel computing systems

Autor: Isil Oz, Konstantin Popov, Muhammad Khurram Bhatti, Maria Mushtaq, Sarah Amin, Umer Farooq, Mats Brorsson

Publikováno v: Computing
Computing, Springer Verlag, 2017, ⟨10.1007/s00607-017-0581-6⟩

In systems with complex many-core cache hierarchy, exploiting data locality can significantly reduce execution time and energy consumption of parallel applications. Locality can be exploited at various hardware and software layers. For instance, by i

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::82c44d054e69d2cea164f0d3003e5ccc
https://doi.org/10.1007/s00607-017-0581-6

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Scheduling of Parallel Tasks with Proportionate Priorities

Autor: Mats Brorsson, Isil Oz, Konstantin Popov, Umer Farooq, Muhammad Khurram Bhatti

Publikováno v: Arabian Journal for Science and Engineering. 41:3279-3295

Parallel computing systems promise higher performance for computationally intensive applications. Since programmes for parallel systems consist of tasks that can be executed simultaneously, task scheduling becomes crucial for the performance of these

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6ef12f22f8e4e01fd4cda2c03496901d
https://doi.org/10.1007/s13369-016-2180-9

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Regression-based prediction for task-based program performance

Autor: Konstantin Popov, Mats Brorsson, Isil Oz, Muhammad Khurram Bhatti

As multicore systems evolve by increasing the number of parallel execution units, parallel programming models have been released to exploit parallelism in the applications. Task-based programming model uses task abstractions to specify parallel tasks

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::61535bd2c37953bf27020d5d750eba5c
http://orbilu.uni.lu/handle/10993/46636

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Know Your Enemies and Know Yourself in the Real-Time Bidding Function Optimisation

Autor: Alexander Imani Cowen-Rivers, Phu Sakulwongtana, Ying Wen, Radu State, Manxing Du, Mats Brorsson, Jun Wang

Publikováno v: ICDM Workshops

Real-time bidding (RTB) is a popular method to sell online ad space inventory using real-time auctions to determine which advertiser gets to make the ad impression. Advertisers can take user information into account when making their bids and get mor

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8027f71e078ca09933efce74391e4dc9
http://orbilu.uni.lu/handle/10993/41419

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Palirria: accurate on-line parallelism estimation for adaptive work-stealing

Autor: Mats Brorsson, Georgios Varisteas

Publikováno v: Concurrency and Computation: Practice and Experience. 28:472-491

We present Palirria, a self-adapting work-stealing scheduling method for nested fork/join parallelism that can be used to estimate the number of utilizable workers and self-adapt accordingly. The estimation mechanism is optimized for accuracy, minimi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8f9c7902ed4a6077bf70bfae0b485091
https://doi.org/10.1002/cpe.3630

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Improving Real-Time Bidding Using a Constrained Markov Decision Process

Autor: Radu State, Omar Cherkaoui, Mats Brorsson, Georgios Varisteas, Redouane Sassioui, Manxing Du

Publikováno v: Proceedings of the 13th International Conference on Advanced Data Mining and Applications (pp. 711-726). Springer (2017).
Advanced Data Mining and Applications ISBN: 9783319691787
ADMA

Online advertising is increasingly switching to real-time bidding on advertisement inventory, in which the ad slots are sold through real-time auctions upon users visiting websites or using mobile apps. To compete with unknown bidders in such a highl

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::44f1a29bf4457ef6061addd064572777
http://orbilu.uni.lu/handle/10993/33478

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