Graphic summary
  • Show / hide key
  • Information


Scientific and technological production
  •  

1 to 50 of 120 results
  • Evaluación del trabajo Final de Grado

     Sanchez Carracedo, Fermin; Climent Vilaro, Juan; Corbalan Gonzalez, Julita; Fonseca Casas, Pau; Garcia Almiñana, Jordi; Herrero Zaragoza, José Ramón; Llinas Audet, Francisco Javier; Rodriguez Hontoria, Horacio; Sancho Samsó, Maria Ribera
    Jornadas de Enseñanza Universitaria de la Informática
    Presentation's date: 2013-07
    Presentation of work at congresses

    Read the abstract Read the abstract View View Open in new window  Share Reference managers Reference managers Open in new window

    Los Proyectos de Fin de Carrera (PFC) se han evaluado tradicionalmente a partir de una memoria y de una presentación pública. Esta evaluación, en general, la realiza un tribunal formado por varios profesores, que juzga de forma integral el proyecto a partir de la documentación entregada y de su presentación pública. Para poner la nota final los centros no disponen, en general, de unos criterios claros y precisos, por lo que cada tribunal usa su propia experiencia previa para decidir la nota de cada proyecto. Los Trabajos de Fin de Grado (TFG) substituyen en los nuevos planes de estudios de las ingenierías a los antiguos PFC. La evaluación de los TFG debe consi- derar, de forma explícita, tanto las competencias específicas como las genéricas, y es necesario que existan criterios claros sobre la forma de evaluarlas. Para avanzar en este sentido, el Ministerio de Cien cia e Innovación y la Agencia para la Calidad del Sistema Universitario de Catalunya financiaron en 2008 y 2009 el proyecto ¿Guía para la evaluación de competencias en los Trabajos de Fin de Grado y de Máster en las Ingenierías¿. Esta guía es, en realidad, una guía para ayudar a que cada centro/titulación defina su propio procedimiento de evaluación del TFG. En este trabajo se presenta una implementación de las propuestas contenidas en la guía y se define una metodología para evaluar los TFG a partir de las competencias que se trabajan en la titulación de Grado en Ingeniería Informática de la Facultat d¿Informàtica de Barcelona. La metodología puede ser fácilmente replicada o adaptada para otros centros y otras titulaciones, lo que puede facilitar la realización de su propia guía de evaluación de los TFG.

  • Power-aware parallel job scheduling

     Etinski, Maja; Corbalan Gonzalez, Julita; Labarta Mancho, Jesus Jose
    Date of publication: 2012-01-02
    Book chapter

     Share Reference managers Reference managers Open in new window

  • A job scheduling approach for multi-core clusters based on virtual malleability

     Utrera Iglesias, Gladys Miriam; Tabik, Siham; Corbalan Gonzalez, Julita; Labarta Mancho, Jesus Jose
    International European Conference on Parallel and Distributed Computing
    Presentation's date: 2012-08-30
    Presentation of work at congresses

    View View Open in new window  Share Reference managers Reference managers Open in new window

  • Understanding the future of energy-performance trade-off via DVFS in HPC environments

     Etinski, Maja; Corbalan Gonzalez, Julita; Labarta Mancho, Jesus Jose; Valero Cortes, Mateo
    Journal of parallel and distributed computing
    Date of publication: 2012-04
    Journal article

    View View Open in new window  Share Reference managers Reference managers Open in new window

  • Parallel job scheduling for power constrained HPC systems

     Etinski, Maja; Corbalan Gonzalez, Julita; Labarta Mancho, Jesus Jose; Valero Cortes, Mateo
    Parallel computing
    Date of publication: 2012-12
    Journal article

    View View Open in new window  Share Reference managers Reference managers Open in new window

  • DVFS Power Management in HPC Systems  Open access

     Etinski, Maja
    Defense's date: 2012-06-01
    Department of Computer Architecture, Universitat Politècnica de Catalunya
    Theses

    Read the abstract Read the abstract Access to the full text Access to the full text Open in new window  Share Reference managers Reference managers Open in new window

    Recent increase in performance of High Performance Computing (HPC) systems has been followed by even higher increase in power consumption. Power draw of modern supercomputers leads to very high operating costs and reliability concerns. Furthermore, it has negative consequences on the environment. Accordingly, over the last decade there have been many works dealing with power/energy management in HPC systems. Since CPUs accounts for a high portion of the total system power consumption, our work aims at CPU power reduction. Dynamic Voltage Frequency Scaling (DVFS) is a widely used technique for CPU power management. Running an application at lower frequency/voltage reduces its power consumption. However, frequency scaling should be used carefully since it has negative effects on the application performance. We argue that the job scheduler level presents a good place for power management in an HPC center having in mind that a parallel job scheduler has a global overview of the entire system. In this thesis we propose power-aware parallel job scheduling policies where the scheduler determines the job CPU frequency, besides the job execution order. Based on the goal, the proposed policies can be classified into two groups: energy saving and power budgeting policies. The energy saving policies aim to reduce CPU energy consumption with a minimal job performance penalty. The first of the energy saving policies assigns the job frequency based on system utilization while the other makes job performance predictions. While for less loaded workloads these policies achieve energy savings, highly loaded workloads suffer from a substantial performance degradation because of higher job wait times due to an increase in load caused by longer job run times. Our results show higher potential of the DVFS technique when applied for power budgeting. The second group of policies are policies for power constrained systems. In contrast to the systems without a power limitation, in the case of a given power budget the DVFS technique even improves overall job performance reducing the average job wait time. This comes from a lower job power consumption that allows more jobs to run simultaneously. The first proposed policy from this group assigns CPU frequency using the job predicted performance and current power draw of already running jobs. The other power budgeting policy is based on an optimization problem which solution determines the job execution order, as well as power distribution among jobs selected for execution. This policy fully exploits available power and leads to further performance improvements. The last contribution of the thesis is an analysis of the DVFS technique potential for energyperformance trade-off in current and future HPC systems. Ongoing changes in technology decrease the DVFS applicability for energy savings but the technique still reduces power consumption making it useful for power constrained systems. In order to analyze DVFS potential, a model of frequency scaling impact on MPI application execution time has been proposed and validated against measurements on a large-scale system. This parametric analysis showed for which application/platform characteristic, frequency scaling leads to energy savings.

    El aumento de rendimiento que han experimentado los sistemas de altas prestaciones ha venido acompañado de un aumento aún mayor en el consumo de energía. El consumo de los supercomputadores actuales implica unos costes muy altos de funcionamiento. Estos costes no tienen simplemente implicaciones a nivel económico sino también implicaciones en el medio ambiente. Dado la importancia del problema, en los últimos tiempos se han realizado importantes esfuerzos de investigación para atacar el problema de la gestión eficiente de la energía que consumen los sistemas de supercomputación. Dado que la CPU supone un alto porcentaje del consumo total de un sistema, nuestro trabajo se centra en la reducción y gestión eficiente de la energía consumida por la CPU. En concreto, esta tesis se centra en la viabilidad de realizar esta gestión mediante la técnica de Dynamic Voltage Frequency Scalingi (DVFS), una técnica ampliamente utilizada con el objetivo de reducir el consumo energético de la CPU. Sin embargo, esta técnica puede implicar una reducción en el rendimiento de las aplicaciones que se ejecutan, ya que implica una reducción de la frecuencia. Si tenemos en cuenta que el contexto de esta tesis son sistemas de alta prestaciones, minimizar el impacto en la pérdida de rendimiento será uno de nuestros objetivos. Sin embargo, en nuestro contexto, el rendimiento de un trabajo viene determinado por dos factores, tiempo de ejecución y tiempo de espera, por lo que habrá que considerar los dos componentes. Los sistemas de supercomputación suelen estar gestionados por sistemas de colas. Los trabajos, dependiendo de la política que se aplique y el estado del sistema, deberán esperar más o menos tiempo antes de ser ejecutado. Dado las características del sistema objetivo de esta tesis, nosotros consideramos que el Planificador de trabajo (o Job Scheduler), es el mejor componente del sistema para incluir la gestión de la energía ya que es el único punto donde se tiene una visión global de todo el sistema. En este trabajo de tesis proponemos un conjunto de políticas de planificación que considerarán el consumo energético como un recurso más. Estas políticas decidirán que trabajo ejecutar, el número de cpus asignadas y la lista de cpus (y nodos) sino también la frecuencia a la que estas cpus se ejecutarán. Estas políticas estarán orientadas a dos objetivos: reducir la energía total consumida por un conjunto de trabajos y controlar en consumo puntual de un conjunto puntual para evitar saturaciones del sistema en aquellos centros que puedan tener una capacidad limitada (permanente o puntual). El primer grupo de políticas intentará reducir el consumo total minimizando el impacto en el rendimiento. En este grupo encontramos una primera política que asigna la frecuencia de las cpus en función de la utilización del sistema y una segunda que calcula una estimación de la penalización que sufrirá el trabajo que va a empezar para decidir si reducir o no la frecuencia. Estas políticas han mostrado unos resultados aceptables con sistemas poco cargados, pero han mostrado unas pérdidas de rendimiento significativas cuando el sistema está muy cargado. Estas pérdidas de rendimiento no han sido a nivel de incremento significativo del tiempo de ejecución de los trabajos, pero sí de las métricas de rendimiento que incluyen el tiempo de espera de los trabajos (habituales en este contexto). El segundo grupo de políticas, orientadas a sistemas con limitaciones en cuanto a la potencia que pueden consumir, han mostrado un gran potencial utilizando DVFS como mecanismo de gestión. En este caso, comparado con un sistema que no incluya esta gestión, han demostrado mejoras en el rendimiento ya que permiten ejecutar más trabajos de forma simultánea, reduciendo significativamente el tiempo de espera de los trabajos. En este segundo grupo proponemos una política basada en el rendimiento del trabajo que se va a ejecutar y una segunda que considera la asignación de todos los recursos como un problema de optimización lineal. Esta última política es la contribución más importante de la tesis ya que demuestra un buen comportamiento en todos los casos evaluados. La última contribución de la tesis es un estudio del potencial de DVFS como técnica de gestión de la energía en un futuro próximo, en función de un estudio de las características de las aplicaciones, de la reducción de DVFS en el consumo de la CPU y del peso de la CPU dentro de todo el sistema. Este estudio indica que la capacidad de DVFS de ahorrar energía será limitado pero sigue mostrando un gran potencial de cara al control del consumo energético.

  • Hardware and software support for distributed shared memory in chip multiprocessors

     Villavieja Prados, Carlos
    Defense's date: 2012-01-09
    Department of Computer Architecture, Universitat Politècnica de Catalunya
    Theses

     Share Reference managers Reference managers Open in new window

  • A job scheduling approach for multi-core clusters based on virtual malleability

     Utrera Iglesias, Gladys Miriam; Tabik, Siham; Corbalan Gonzalez, Julita; Labarta Mancho, Jesus Jose
    Lecture notes in computer science
    Date of publication: 2012-08
    Journal article

    View View Open in new window  Share Reference managers Reference managers Open in new window

  • Linear programming based parallel job scheduling for power constrained systems

     Etinski, Maja; Corbalan Gonzalez, Julita; Labarta Mancho, Jesus Jose; Valero Cortes, Mateo
    International Conference on High Performance Computing and Simulation
    Presentation's date: 2011-07
    Presentation of work at congresses

    View View Open in new window  Share Reference managers Reference managers Open in new window

  • Multifaceted Resource Management on Virtualized Providers  Open access

     Goiri Presa, Iñigo
    Defense's date: 2011-06-14
    Department of Computer Architecture, Universitat Politècnica de Catalunya
    Theses

    Read the abstract Read the abstract Access to the full text Access to the full text Open in new window  Share Reference managers Reference managers Open in new window

    Last decade, providers started using Virtual Machines (VMs) in their datacenters to pack users and their applications. This was a good way to consolidate multiple users in fewer physical nodes while isolating them from each other. Later on in 2006, Amazon started offering their Infrastructure as a Service where their users rent computing resources as VMs in a pay-as-you-go manner. However, virtualized providers cannot be managed like traditional ones as they are now confronted with a set of new challenges. First of all, providers must deal efficiently with new management operations such as the dynamic creation of VMs. These operations enable new capabilities that were not there before, such as moving VMs across the nodes, or the ability to checkpoint VMs. We propose a Decentralized virtualization management infrastructure to create VMs on demand, migrate them between nodes, and checkpointing mechanisms. With the introduction of this infrastructure, virtualized providers become decentralized and are able to scale. Secondly, these providers consolidate multiple VMs in a single machine to more efficiently utilize resources. Nevertheless, this is not straightforward and implies the use of more complex resource management techniques. In addition, this requires that both customers and providers can be confident that signed Service Level Agreements (SLAs) are supporting their respective business activities to their best extent. Providers typically offer very simple metrics that hinder an efficient exploitation of their resources. To solve this, we propose mechanisms to dynamically distribute resources among VMs and a resource-level metric, which together allow increasing provider utilization while maintaining Quality of Service. Thirdly, the provider must allocate the VMs evaluating multiple facets such as power consumption and customers' requirements. In addition, it must exploit the new capabilities introduced by virtualization and manage its overhead. Ultimately, this VM placement must minimize the costs associated with the execution of a VM in a provider to maximize the provider's profit. We propose a new scheduling policy that places VMs on provider nodes according to multiple facets and is able to understand and manage the overheads of dealing with virtualization. And fourthly, resource provisioning in these providers is a challenge because of the high load variability over time. Providers can serve most of the requests owning only a restricted amount of resources but this under-provisioning may cause customers to be rejected during peak hours. In the opposite situation, valley hours incur under-utilization of the resources. As this new paradigm makes the access to resources easier, providers can share resources to serve their loads. We leverage a federated scenario where multiple providers share their resources to overcome this load variability. We exploit the federation capabilities to create policies that take the most convenient decision depending on the environment conditions and tackle the load variability. All these challenges mean that providers must manage their virtualized resources in a different way than they have done traditionally. This dissertation identifies and studies the challenges faced by virtualized provider that offers IaaS, and designs and evaluates a solution to manage the provider's resources in the most cost-effective way by exploiting the virtualization capabilities.

  • Using Virtual Malleability in a job scheduling system to reduce waiting times

     Utrera Iglesias, Gladys Miriam; Corbalan Gonzalez, Julita; Labarta Mancho, Jesus Jose
    Date: 2011-02-17
    Report

    View View Open in new window  Share Reference managers Reference managers Open in new window

  • Access to the full text
    XtreemOS application execution management: a scalable approach  Open access

     Nou Castell, Ramon; Giralt Celiméndiz, Jacobo; Corbalan Gonzalez, Julita; Tejedor Saavedra, Enric; Fitó Comellas, Josep Oriol; Perez, Josep Maria; Cortes Rossello, Antonio
    ACM/IEEE International Conference on Grid Computing
    Presentation's date: 2010-10-25
    Presentation of work at congresses

    Read the abstract Read the abstract Access to the full text Access to the full text Open in new window  Share Reference managers Reference managers Open in new window

    Designing a job management system for the Grid is a non-trivial task. While a complex middleware can give a lot of features, it often implies sacrificing performance. Such performance loss is especially noticeable for small jobs. A Job Manager’s design also affects the capabilities of the monitoring system. We believe that monitoring a job or asking for a job status should be fast and easy, like doing a simple ’ps’. In this paper, we present the job management of XtreemOS - a Linux-based operating system to support Virtual Organizations for Grid. This management is performed inside the Application Execution Manager (AEM). We evaluate its performance using only one job manager plus the built-in monitoring infrastructure. Furthermore, we present a set of real-world applications using AEM and its features. In XtreemOS we avoid reinventing the wheel and use the Linux paradigm as an abstraction.

  • Validación de conceptos adquiridos en una asignatura de proyecto: experiencia en ProSO

     Becerra Fontal, Yolanda; Corbalan Gonzalez, Julita; Costa Prats, Juan Jose; Gil Gómez, Maria Luisa; Guitart Fernández, Jordi
    Jornades de Docència del Departament d'Arquitectura de Computadors
    Presentation's date: 2010-02-11
    Presentation of work at congresses

    View View Open in new window  Share Reference managers Reference managers Open in new window

  • BSLD threshold driven power management policy for HPC centers

     Etinski, Maja; Corbalan Gonzalez, Julita; Labarta Mancho, Jesus Jose; Valero Cortes, Mateo
    IEEE International Parallel and Distributed Processing Symposium
    Presentation's date: 2010-04
    Presentation of work at congresses

    View View Open in new window  Share Reference managers Reference managers Open in new window

  • Optimizing job performance under a given power constraint in HPC centers

     Etinski, Maja; Corbalan Gonzalez, Julita; Labarta Mancho, Jesus Jose; Valero Cortes, Mateo
    International Green Computing Conference
    Presentation's date: 2010-08
    Presentation of work at congresses

    View View Open in new window  Share Reference managers Reference managers Open in new window

  • Enabling GPU and many-core systems in heterogeneous HPC environments using memory considerations

     Guim Bernat, Francesc; Rodero Castro, Ivan; Corbalan Gonzalez, Julita; Parashar, Manish
    IEEE International Conference on High Performance Computing and Communications
    Presentation's date: 2010-09
    Presentation of work at congresses

    View View Open in new window  Share Reference managers Reference managers Open in new window

  • Utilization driven power-aware parallel job scheduling

     Etinski, Maja; Corbalan Gonzalez, Julita; Labarta Mancho, Jesus Jose; Valero Cortes, Mateo
    Computer Science - Research and Development
    Date of publication: 2010
    Journal article

    View View Open in new window  Share Reference managers Reference managers Open in new window

  • Grid broker selection strategies using aggregated resource information

     Rodero, I; Guim Bernat, Francesc; Corbalan Gonzalez, Julita; Fong, L; Sadjadi, SM
    Future generation computer systems
    Date of publication: 2010-01
    Journal article

    View View Open in new window  Share Reference managers Reference managers Open in new window

  • Coordinated Scheduling and Rsource Management for Heterogeneous Clusters and Grid Systems.

     Rodero Castro, Ivan
    Defense's date: 2009-02-05
    Department of Computer Architecture, Universitat Politècnica de Catalunya
    Theses

     Share Reference managers Reference managers Open in new window

  • LeWI: a runtime balancing algorithm for nested parallelism

     Garcia, Marta; Corbalan Gonzalez, Julita; Labarta Mancho, Jesus Jose
    International Conference on Parallel Processing
    Presentation's date: 2009-09
    Presentation of work at congresses

    View View Open in new window  Share Reference managers Reference managers Open in new window

  • Power-aware load balancing of large scale MPI applications

     Etinski, Maja; Corbalan Gonzalez, Julita; Labarta Mancho, Jesus Jose; Valero Cortes, Mateo; Veidenbaum, Alex
    IEEE International Parallel and Distributed Processing Symposium
    Presentation's date: 2009-05
    Presentation of work at congresses

    View View Open in new window  Share Reference managers Reference managers Open in new window

  • Evaluation of coordinated grid scheduling strategies

     Rodero Castro, Ivan; Guim Bernat, Francesc; Corbalan Gonzalez, Julita
    11th IEEE Internacional Conference on High Performance Computing and Communications (HPCC-09)
    Presentation's date: 2009-06
    Presentation of work at congresses

    View View Open in new window  Share Reference managers Reference managers Open in new window

  • The resource usage aware backfilling

     Guim Bernat, Francesc; Rodero Castro, Ivan; Corbalan Gonzalez, Julita
    Workshop on Job Scheduling Strategies for Parallel Processing
    Presentation of work at congresses

    View View Open in new window  Share Reference managers Reference managers Open in new window

  • The resource usage aware backfilling

     Guim Bernat, Francesc; Rodero Castro, Ivan; Corbalan Gonzalez, Julita
    Lecture notes in computer science
    Date of publication: 2009-10
    Journal article

    View View Open in new window  Share Reference managers Reference managers Open in new window

  • MPEXPAR: MODELS DE PROGRAMACIO I ENTORNS D'EXECUCIO PARAL·LELS

     Gonzalez Tallada, Marc; Alonso López, Javier; Sirvent Pardell, Raül; Guitart Fernández, Jordi; Carrera Perez, David; Martorell Bofill, Xavier; Torres Viñals, Jordi; Badia Sala, Rosa Maria; Cortes Rossello, Antonio; Corbalan Gonzalez, Julita; Costa Prats, Juan Jose; Farreras Esclusa, Montserrat; Gil Gómez, Maria Luisa; Navarro Mas, Nacho; Herrero Zaragoza, José Ramón; Tejedor Saavedra, Enric; Becerra Fontal, Yolanda; Nou Castell, Ramon; Labarta Mancho, Jesus Jose; Ayguade Parra, Eduard
    Participation in a competitive project

     Share

  • Broker selection strategies in interoperable grid systems

     Rodero Castro, Ivan; Guim Bernat, Francesc; Corbalan Gonzalez, Julita; Fong, L; Sadjadi, S
    International Conference on Parallel Processing
    Presentation's date: 2009-09
    Presentation of work at congresses

     Share Reference managers Reference managers Open in new window

  • Dynamic load balancing in MPI jobs

     Utrera Iglesias, Gladys Miriam; Corbalan Gonzalez, Julita; Labarta Mancho, Jesus Jose
    Lecture notes in computer science
    Date of publication: 2008-01
    Journal article

    View View Open in new window  Share Reference managers Reference managers Open in new window

  • Self-tuned parallel runtimes: a case of study for OpenMP  Open access

     Duran González, Alejandro
    Defense's date: 2008-10-22
    Department of Computer Architecture, Universitat Politècnica de Catalunya
    Theses

    Read the abstract Read the abstract Access to the full text Access to the full text Open in new window  Share Reference managers Reference managers Open in new window

    In recent years parallel computing has become ubiquitous. Lead by the spread of commodity multicore processors, parallel programming is not anymore an obscure discipline only mastered by a few.Unfortunately, the amount of able parallel programmers has not increased at the same speed because is not easy to write parallel codes.Parallel programming is inherently different from sequential programming. Programmers must deal with a whole new set of problems: identification of parallelism, work and data distribution, load balancing, synchronization and communication.Parallel programmers have embraced several languages designed to allow the creation of parallel applications. In these languages, the programmer is not only responsible of identifying the parallelism but also of specifying low-level details of how the parallelism needs to exploited (e.g. scheduling, thread distribution ...). This is a burden than hampers the productivity of the programmers.We demonstrate that is possible for the runtime component of a parallel environment to adapt itself to the application and the execution environment and thus reducing the burden put into the programmer. For this purpose we study three different parameters that are involved in the parallel exploitation of the OpenMP parallel language: parallel loop scheduling, thread allocation in multiple levels of parallelism and task granularity control.In all the cases, we propose a self-tuned algorithm that will first perform an on-line profiling of the application and based on the information gathered it will adapt the value of the parameter to the one that maximizes the performance of the application.Our goal is not to develop methods that outperform a hand-tuned application for a specific scenario, as this is probably just as difficult as compiler code outperforming hand-tuned assembly code, but methods that get close to that performance with a minimum effort from the programmer. In other words, what we want to achieve with our self-tuned algorithms is to maximize the ratio performance over effort so the entry level to the parallelism is lower. The evaluation of our algorithms with different applications shows that we achieve that goal.

  • Job-Guided Scheduling Strategies for Multi-Site HPC Infrastructures

     Guim Bernat, Francesc
    Defense's date: 2008-05-30
    Department of Computer Architecture, Universitat Politècnica de Catalunya
    Theses

     Share Reference managers Reference managers Open in new window

  • XtreemOS grid checkpointing architecture

     Mehnert-Spahn, John; Schöttner, Michael; Ropars, Thomas; Margery, David; Morin, Christine; Corbalan Gonzalez, Julita; Cortes Rossello, Antonio
    IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing
    Presentation's date: 2008-05
    Presentation of work at congresses

    View View Open in new window  Share Reference managers Reference managers Open in new window

  • Resource sharing usage aware resource selection policies for backfilling strategies

     Guim, Francesc; Corbalan Gonzalez, Julita; Labarta Mancho, Jesus Jose
    High Performance Computing & Simulation Conference
    Presentation's date: 2008-06
    Presentation of work at congresses

     Share Reference managers Reference managers Open in new window

  • An adaptive cut-off for task parallelism

     Duran Gonzalez, Alejandro; Corbalan Gonzalez, Julita; Ayguade Parra, Eduard
    International Conference for High Performance Computing, Networking, Storage and Analysis
    Presentation's date: 2008
    Presentation of work at congresses

    View View Open in new window  Share Reference managers Reference managers Open in new window

  • Evaluation of OpenMP Task Scheduling Strategies

     Duran González, Alejandro; Corbalan Gonzalez, Julita; Ayguade Parra, Eduard
    4th International Workshop on OpenMP (IWOMP 2008). OpenMP in a New Era of Parallelism.
    Presentation of work at congresses

     Share Reference managers Reference managers Open in new window

  • Balancing HPC Applications Through Smart Allocation of Resources in MT Processors

     Corbalan Gonzalez, Julita
    IEEE International Parallel and Distributed Processing Symposium
    Presentation's date: 2008-04-14
    Presentation of work at congresses

     Share Reference managers Reference managers Open in new window

  • Balancing HPC Applications Through Smart Allocation of Resource in MT Processors

     Boneti, C; Gioiosa, R; Cazorla Almeida, Francisco Javier; Corbalan Gonzalez, Julita; Labarta Mancho, Jesus Jose; Valero Cortes, Mateo
    IEEE International Parallel and Distributed Processing Symposium
    Presentation of work at congresses

     Share Reference managers Reference managers Open in new window

  • An Adaptive Cut-off-for task Parallelism

     Corbalan Gonzalez, Julita
    SC08
    Presentation's date: 2008-11-15
    Presentation of work at congresses

     Share Reference managers Reference managers Open in new window

  • Coordinated co-allocation scheduling on heterogeneous clusters of SMPs

     Rodero Castro, Ivan; Corbalan Gonzalez, Julita
    IEEE International Conference on eScience
    Presentation's date: 2008
    Presentation of work at congresses

     Share Reference managers Reference managers Open in new window

  • Modeling and evaluating interoperable grid systems

     Rodero Castro, Ivan; Guim Bernat, Francesc; Corbalan Gonzalez, Julita
    IEEE International Conference on eScience
    Presentation's date: 2008-12
    Presentation of work at congresses

     Share Reference managers Reference managers Open in new window

  • Design and Implementation of the eNANOS Scheduler

     Rodero Castro, Ivan; Corbalan Gonzalez, Julita
    Date: 2008-08
    Report

     Share Reference managers Reference managers Open in new window

  • The Grid Backfilling: a Multi-Site Scheduling Architecture with Data Mining Prediction Techniques

     Francesc, Guim; Rodero, Ivan; Corbalan Gonzalez, Julita; Goyeneche, Ariel
    Coregrid Workshop in GRID Middleware
    Presentation's date: 2008-08
    Presentation of work at congresses

     Share Reference managers Reference managers Open in new window

  • Evaluation of OpenMP Task Scheduling Strategies

     Duran González, Alejandro; Corbalan Gonzalez, Julita; Ayguade Parra, Eduard
    Lecture notes in computer science
    Date of publication: 2008-05
    Journal article

     Share Reference managers Reference managers Open in new window

  • Looking for an evolution of grid scheduling: Meta-brokering

     Rodero, Ivan; Francesc, Guim; Corbalan Gonzalez, Julita; Liana, Fong; Liu, Y G; Sadjadi, S M
    Coregrid Workshop in GRID Middleware
    Presentation of work at congresses

     Share Reference managers Reference managers Open in new window

  • A job Self-scheduling Policy for HPC Infrastructures

     Francesc, Guim; Corbalan Gonzalez, Julita
    Workshop on Job Scheduling Strategies for Parallel Processing
    Presentation of work at congresses

     Share Reference managers Reference managers Open in new window

  • Integration of the eNANOS execution framework with GRMS

     Rodero Castro, Ivan; Guim Bernat, Francesc; Corbalan Gonzalez, Julita; Labarta Mancho, Jesus Jose; Okeksiak, A; Kurowski, K; Nabrzyski, J
    Date of publication: 2007-01-31
    Book chapter

     Share Reference managers Reference managers Open in new window

  • Experiencia e-Learning en una Asignatura de Proyecto

     Chacin Martinez, Pablo Jesus; Corbalan Gonzalez, Julita; Costa Prats, Juan Jose; Gil Gómez, Maria Luisa; Guitart Fernández, Jordi; Llorente Viejo, Silvia
    Congreso Nacional de Informática Educativa - Simposio Nacional de Tecnologías de la Información y las Comunicaciones en la Educación
    Presentation's date: 2007-09-11
    Presentation of work at congresses

     Share Reference managers Reference managers Open in new window

  • Performance Prediction of High Performance Applications using historic workloads information

     Guim Bernat, Francesc; Corbalan Gonzalez, Julita; Labarta Mancho, Jesus Jose
    Date: 2007-07
    Report

     Share Reference managers Reference managers Open in new window

  • The Internals of the Alvio-Simulator: Simulator of HPC Infraestructures

     Guim Bernat, Francesc; Corbalan Gonzalez, Julita
    Date: 2007-03
    Report

     Share Reference managers Reference managers Open in new window

  • Evolución de la asignatura Proyecto de Sistemas Operativos

     Corbalan Gonzalez, Julita
    Jornades de Docència del Departament d'Arquitectura de Computadors. 10 Anys de Jornades
    Presentation of work at congresses

     Share Reference managers Reference managers Open in new window

  • Towards Uniform and Trasparent Access to the Grid Universe Information Using the Palantir

     Francesc, Guim; Rodero, Ivan; Labarta Mancho, Jesus Jose; Corbalan Gonzalez, Julita
    Coregrid Workshop in GRID Middleware
    Presentation of work at congresses

     Share Reference managers Reference managers Open in new window

  • Design and Implementation of a General Purpose API of Progress and Performance Indicators

     Rodero Castro, Ivan; Francesc, Guim; Corbalan Gonzalez, Julita; Labarta Mancho, Jesus Jose
    Parallel Computing 2007
    Presentation of work at congresses

     Share Reference managers Reference managers Open in new window