Browsing by Author "Badia Sala, Rosa Maria"
Now showing items 1-20 of 142
-
A community roadmap for scientific workflows research and development
(Institute of Electrical and Electronics Engineers (IEEE), 2021)
Conference report
Restricted access - publisher's policyThe landscape of workflow systems for scientific applications is notoriously convoluted with hundreds of seemingly equivalent workflow systems, many isolated research claims, and a steep learning curve. To address some of ... -
A dependency-aware task-based programming environment for multi-core architectures
(2008)
Conference report
Open AccessParallel programming on SMP and multi-core architectures is hard. In this paper we present a programming model for those environments based on automatic function level parallelism that strives to be easy, flexible, portable, ... -
A hierarchic task-based programming model for distributed heterogeneous computing
(SAGE Publications, 2019-05-01)
Article
Open AccessDistributed computing platforms are evolving to heterogeneous ecosystems with Clusters, Grids and Clouds introducing in its computing nodes, processors with different core architectures, accelerators (i.e. GPUs, FPGAs), ... -
A high-productivity task-based programming model for clusters
(2012-12-15)
Article
Restricted access - publisher's policyProgramming for large-scale, multicore-based architectures requires adequate tools that offer ease of programming and do not hinder application performance. StarSs is a family of parallel programming models based on automatic ... -
A HW/SW codesign-based reconfigurable environment for telecommunication network simulation
(Springer, 1999)
Part of book or chapter of book
Restricted access - publisher's policySequential network simulation is a high time-consuming application, and with the emergence of global multihop networks and gigabit-per-second links is becoming a challenging problem. A new approach to this open problem is ... -
A machine learning estimator trained on synthetic data for real-time earthquake ground-shaking predictions in Southern California
(Nature, 2024-05-16)
Article
Open AccessAfter large-magnitude earthquakes, a crucial task for impact assessment is to rapidly and accurately estimate the ground shaking in the affected region. To satisfy real-time constraints, intensity measures are traditionally ... -
A machine learning workflow for hurricane prediction
(Barcelona Supercomputing Center, 2018-04-24)
Conference report
Open Access -
A mathematical formulation of the loop pipelining problem
(Universitat Politècnica de Catalunya (UPC), 1996)
Conference report
Open AccessThis paper presents a mathematical model for the loop pipelining problem that considers several parameters for optimization and supports any combination of resource and timing constraints. The unrolling degree of the loop ... -
A parallel dynamic asynchronous framework for uncertainty quantification by hierarchical Monte Carlo algorithms
(Springer Nature, 2021-09-13)
Article
Open AccessThe necessity of dealing with uncertainties is growing in many different fields of science and engineering. Due to the constant development of computational capabilities, current solvers must satisfy both statistical ... -
A programming model for hybrid workflows: combining task-based workflows and dataflows all-in-one
(Elsevier, 2020-12)
Article
Open AccessIn the past years, e-Science applications have evolved from large-scale simulations executed in a single cluster to more complex workflows where these simulations are combined with High-Performance Data Analytics (HPDA). ... -
A proposal to extend the OpenMP tasking model with dependent tasks
(2009)
Article
Restricted access - publisher's policyTasking in OpenMP 3.0 has been conceived to handle the dynamic generation of unstructured parallelism. New directives have been added allowing the user to identify units of independent work (tasks) and to define points to ... -
A survey on the distributed computing stack
(Elsevier, 2021-11)
Article
Open AccessIn this paper, we review the background and the state of the art of the Distributed Computing software stack. We aim to provide the readers with a comprehensive overview of this area by supplying a detailed big-picture of ... -
Accelerated execution via eager-release of dependencies in task-based workflows
(Sage, 2021-07-01)
Article
Open AccessTask-based programming models offer a flexible way to express the unstructured parallelism patterns of nowadays complex applications. This expressive capability is required to achieve maximum possible performance for ... -
Accelerating hyperparameter optimisation with PyCOMPSs
(Association for Computing Machinery (ACM), 2019)
Conference report
Open AccessMachine Learning applications now span across multiple domains due to the increase in computational power of modern systems. There has been a recent surge in Machine Learning applications in High Performance Computing (HPC) ... -
AMA: asynchronous management of accelerators for task-based programming models
(Elsevier, 2015)
Conference report
Open AccessComputational science has benefited in the last years from emerging accelerators that increase the performance of scientific simulations, but using these devices hinders the programming task. This paper presents AMA: a set ... -
An Architecture for Programming Distributed Applications on Fog to Cloud Systems
(Springer, 2018-02-08)
Conference lecture
Open AccessThis paper presents a framework to develop and execute applications in distributed and highly dynamic computing systems composed of cloud resources and fog devices such as mobile phones, cloudlets, and micro-clouds. The ... -
An asynchronous architecture model for behavioral synthesis
(Institute of Electrical and Electronics Engineers (IEEE), 1993)
Conference report
Open AccessAn asynchronous architecture model for behavioral synthesis is presented. The basis of the model lies in a distributed control structure consisting of multiple communicating processes. Data processing is performed by ... -
An extension of the StarSs programming model for platforms with multiple GPUs
(Springer, 2009)
Conference lecture
Open AccessWhile general-purpose homogeneous multi-core architectures are becoming ubiquitous, there are clear indications that, for a number of important applications, a better performance/power ratio can be attained using specialized ... -
An oracle for guiding large-scale model/hybrid parallel training of convolutional neural networks
(Association for Computing Machinery (ACM), 2021)
Conference report
Open AccessDeep Neural Network (DNN) frameworks use distributed training to enable faster time to convergence and alleviate memory capacity limitations when training large models and/or using high dimension inputs. With the steady ... -
An oracle for guiding large-scale model/hybrid parallel training of convolutional neural networks
(European Network of Excellence on High Performance and Embedded Architecture and Compilation (HiPEAC), 2021)
Conference lecture
Open AccessDeep Neural Network (DNN) frameworks use distributed training to enable faster time to convergence and alleviate memory capacity limitations when training large models and/or using high dimension inputs. With the steady ...
