12 citations · 37 across the 9 of their papers we have counts for
5 papers · 1 filter
Enhancing Resource Management through Prediction-based Policies
Antoni Navarro, Arthur F. Lorenzon, Eduard Ayguadé +1
Task-based programming models are emerging as a promising alternative to make the most of multi-/many-core systems. These programming models rely on runtime systems, and their goal…
Asynchronous Runtime with Distributed Manager for Task-based Programming Models
Jaume Bosch, Carlos Álvarez, Daniel Jiménez-González +2
Parallel task-based programming models, like OpenMP, allow application developers to easily create a parallel version of their sequential codes. The standard OpenMP 4.0 introduced…
Worksharing Tasks: An Efficient Way to Exploit Irregular and Fine-Grained Loop Parallelism
M. Maronas, K. Sala, S. Mateo +2
Shared memory programming models usually provide worksharing and task constructs. The former relies on the efficient fork-join execution model to exploit structured parallelism; wh…
Identifying the potential of Near Data Computing for Apache Spark
Ahsan Javed Awan, Mats Brorsson, Vladimir Vlassov +1
While cluster computing frameworks are continuously evolving to provide real-time data analysis capabilities, Apache Spark has managed to be at the forefront of big data analytics…
Architectural Impact on Performance of In-memory Data Analytics: Apache Spark Case Study
Ahsan Javed Awan, Mats Brorsson, Vladimir Vlassov +1
While cluster computing frameworks are continuously evolving to provide real-time data analysis capabilities, Apache Spark has managed to be at the forefront of big data analytics…