- Parallel Computing and Optimization Techniques
- Cloud Computing and Resource Management
- Advanced Data Storage Technologies
- Emergency and Acute Care Studies
- Distributed and Parallel Computing Systems
- Software System Performance and Reliability
- Healthcare Operations and Scheduling Optimization
- Interconnection Networks and Systems
- Disaster Response and Management
- Distributed systems and fault tolerance
- Healthcare Policy and Management
- Healthcare Systems and Technology
- Advanced Manufacturing and Logistics Optimization
- Bioinformatics and Genomic Networks
- Data Stream Mining Techniques
- Palliative Care and End-of-Life Issues
- Service-Oriented Architecture and Web Services
- COVID-19 and healthcare impacts
- Usability and User Interface Design
- Data Mining Algorithms and Applications
- Optimization and Packing Problems
- Metaheuristic Optimization Algorithms Research
- Time Series Analysis and Forecasting
- Infection Control and Ventilation
- Statistical and Computational Modeling
Universitat Autònoma de Barcelona
2015-2024
Toronto Public Health
2015
Predicting the performance of parallel scientific applications is becoming increasingly complex. Our goal was to characterize behavior message-passing on different target machines. To achieve this goal, we developed a method called application signature for prediction (PAS2P), which strives describe an based its behavior. Based application's activity, identified and extracted representative phases, with created that enabled us predict performance. We experimented using clusters. were able...
As optimization problems become more complicated and extensive, parameterization becomes complex, resulting in a difficult task requiring significant amounts of time resources. In this paper we propose heuristic search algorithm call MCSA (Montecarlo-Clustering Search Algorithm), which is based on Montecarlo sampling, clustering strategy involving two techniques. Our objective to apply MCSA, an inherently stochastic method, address problems. To assess its performance, conducted evaluation...
Predicting performance of parallel applications is becoming increasingly complex and the best predictor application itself, but time required to run it thoroughly a onerous requirement. We seek characterize behavior message-passing on different systems by extracting signature which will allow us predict what system perform best. To achieve this goal, we have developed method called Parallel Application Signatures for Performance Prediction (PAS2P) that strives describe an based its behavior....
We seek to achieve characterization or application signature from a parallel that will allow us, through the execution of this signature, evaluate its performance in different computers. Sequential applications behavior can be understood by means tools such as SimPoint. This tool identify and select significant phases describing behavior. Our proposal is extend those concepts towards applications, with goal modeling predicting application. To this, we developed methodology, enabling us...
Analyzing and predicting performance in parallel applications is a great challenge for scientific programmers due to its com- plexity. application behavior not trivial process it requires spending large amount of time effort understand the algorithms during execution. We have developed PAS2P toolkit from methodology. This methodology strives characterize MPI identify extract repre- sentative phases create signature, which will be used analyze predict execution different target systems....
In this paper, a new method for prediction of future performance and demand on emergency department (ED) in Spain is presented. Increased life expediency population aging Spain, along with their corresponding health conditions such as non-communicable diseases (NCDs), have been suggested to contribute higher demands ED. These lead inferior the cause longer ED length stay (LoS). Prediction quantification behavior is, however, challenging one most complex parts hospitals. Using detailed...
Executing message-passing parallel applications on a large number of resources in an efficient way is not trivial task. Due to the complex interaction between and HPC system, many may suffer performance inefficiencies when they scale. To achieve use these large-scale systems using thousands cores, point consider before executing application know its behavior system. In this work, we propose novel methodology called P3S (Prediction Parallel Program Scalability), which allows us analyze...
The combination of the progressive growth an aging population, increased life expectancy and a greater number chronic diseases all contribute significantly to growing demand for emergency medical care, thus, causing saturation in Emergency Departments (EDs). This is usually due admission non-urgent patients, who constitute high percentage patients ED. Agent-based Model (ABM) one most important tools that helps study complex systems explores emergent behavior this type department. Its...
In this paper, a new method is presented to study the impacts of telemedicine on performance an emergency department in Spain. Spain's Demographics indicate that country experiencing population aging, resulting overcrowding departments and significant demand healthcare system. However, it has been reported most patients visiting are not urgent clinical condition, thus they causing hospital overcrowding, high medical expenses, delays service delivery low efficiency for who truly need care....
The International Journal of Integrated Care (IJIC) is an online, open-access, peer-reviewed scientific journal that publishes original articles in the field integrated care on a continuous basis.IJIC has Impact Factor 2.913 (2021 JCR, received June 2022)The IJIC 20th Anniversary Issue was published 2021.
The saturation of the Emergency Department services is mostly due to admission non-urgent or minor-urgency patients who represent a high percentage admitted in service. We propose model for scheduling entry these non-critical into which may be helpful management service dealing with current growing demand emergency medical care. hypothesize that relocation expected input pattern, initially provided by actual historical data from hospital, can lead an improvement waiting times all patients,...
When performance tools are used to analyze an application with thousands of processes, the data generated can be bigger than memory size cluster node, causing this loaded in swap memory. In HPC systems, moving is not always option. This problem causes scalability limitations that affect user experience and it presents serious restrictions for executing on a large scale. order obtain knowledge about application's performance, usually instrument generate data. instrumented parallel executed...
Being able to accurately estimate how an application will perform in a specific computational system provides many useful benefits and can result smarter decisions. In this work we present novel approach model the behavior of message passing parallel applications. Based concept signatures, which are most relevant parts (phases), build that allows us predict execution time different systems with variable input data size. Executing these signatures sizes defines program's partial function....
Tools to identify problems and improve MPI applications performance running on an HPC system require information from the application system. In this work we will focus defining a methodology analyze how memory usage affects This obtain valid comparable data based different access patterns that allow key values used characterize behavior in front of these Application Signature behavior, (PAS2P obtains representative phases application) same patterns. With values, be able detect problems,...
Chronic Obstructive Pulmonary Disease (COPD) is a chronic respiratory condition characterized by inflammation and narrowing of the airways, leading to symptoms such as shortness breath, coughing, chest tightness. Treatment typically involves lifestyle adjustments, medication, pulmonary rehabilitation improve lung function quality life. This study presents model examining COPD patient behavior within cohort-based strategies, focusing on how environmental factors impact vital signs across...
The saturation of the Emergency Department services is mostly due to admission non-urgent or minor-urgency patients who represent a high percentage admitted in service. We propose model for scheduling entry these non-critical into which may be helpful management service dealing with current growing demand emergency medical care. hypothesize that relocation expected input pattern, initially provided by actual historical data from hospital, can lead an improvement waiting times all patients,...
Compute node failures are becoming a normal event for many long-running and scalable MPI applications. Keeping within the standards applying some of methods developed so far in terms fault tolerance, we methodology that allows applications to tolerate through creation semi-coordinated checkpoints RADIC architecture. To do this, ULSC2-RADIC middleware divides application into independent worlds where each world would correspond compute make use DMTCP checkpoint library environment. We...