Ara es mostren els items 1-14 de 14

    • A Review of Lightweight Thread Approaches for High Performance Computing 

      Castelló, Adrián; Peña, Antonio J.; Seo, Sangmin; Mayo, Rafael; Balaji, Pavan; Quintana Ortí, Enrique Salvador (IEEE, 2016-12-08)
      Text en actes de congrés
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      High-level, directive-based solutions are becoming the programming models (PMs) of the multi/many-core architectures. Several solutions relying on operating system (OS) threads perfectly work with a moderate number of ...
    • Analysis of threading libraries for high performance computing 

      Castello, Adrián; Mayo, Rafael; Sangmin, Seo; Pavan, Balaji; Quintana Ortí, Enrique Salvador; Peña, Antonio (IEEE, 2020)
      Article
      Accés obert
      With the appearance of multi-many core machines, applications and runtime systems evolved in order to exploit the new on-node concurrency that brought new software paradigms. POSIX threads (Pthreads) was widely-adopted for ...
    • Assessing the impact of the CPU power-saving modes on the task-parallel solution of sparse linear systems 

      Aliaga, José Ignacio; Barreda, María; Dolz, Manuel F.; Martín Huertas, Alberto Francisco; Mayo, Rafael; Quintana Ortí, Enrique Salvador (Kluwer Academic Publishers, 2014-12-01)
      Article
      Accés restringit per política de l'editorial
      We investigate the benefits that an energy-aware implementation of the runtime in charge of the concurrent execution of ILUPACK—a sophisticated preconditioned iterative solver for sparse linear systems—produces on the ...
    • DMR API: improving cluster productivity by turning applications into malleable 

      Iserte, Sergio; Mayo, Rafael; Quintana Ortí, Enrique Salvador; Beltran, vicenç; Peña, Antonio (Elsevier, 2018-10)
      Article
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      Adaptive workloads can change on–the–fly the configuration of their jobs, in terms of number of processes. To carry out these job reconfigurations, we have designed a methodology which enables a job to communicate with the ...
    • DMRlib: Easy-coding and efficient resource management for job malleability 

      Iserte, Sergio; Mayo, Rafael; Quintana Ortí, Enrique Salvador; Peña, Antonio (Institute of Electrical and Electronics Engineers (IEEE), 2020)
      Article
      Accés obert
      Process malleability has proved to have a highly positive impact on the resource utilization and global productivity in data centers compared with the conventional static resource allocation policy. However, the non-negligible ...
    • Dynamic reconfiguration of noniterative scientific applications A case study with HPG aligner 

      Iserte, Sergio; Martínez Pérez, Héctor; Barrachina Mir, Sergio; Castillo Catalán, Maribel; Mayo, Rafael; Peña, Antonio (SAGE Publications, 2018)
      Article
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      Several studies have proved the benefits of job malleability, that is, the capacity of an application to adapt its parallelism to a dynamically changing number of allocated processors. The most remarkable advantages of ...
    • Dynamic spawning of MPI processes applied to malleability 

      Martín Alvarez, Iker; Aliaga Estellés, José Ignacio; Castillo, Maribel; Iserte, Sergio; Mayo, Rafael (SAGE Publications, 2023)
      Article
      Accés obert
      Malleability allows computing facilities to adapt their workloads through resource management systems to maximize the throughput of the facility and the efficiency of the executed jobs. This technique is based on reconfiguring ...
    • Efficient Scalable Computing through Flexible Applications and Adaptive Workloads 

      Iserte, Sergio; Mayo, Rafael; Quintana Ortí, Enrique Salvador; Beltran Querol, Vicenç; Peña, Antonio J. (IEEE, 2017-09-07)
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      In this paper we introduce a methodology for dynamic job reconfiguration driven by the programming model runtime in collaboration with the global resource manager. We improve the system throughput by exploiting malleability ...
    • Enabling CUDA acceleration within virtual machines using rCUDA 

      Duato, José; Peña, Antonio J.; Silla, Federico; Fernández, Juan C.; Mayo, Rafael; Quintana Ortí, Enrique Salvador (IEEE, 2012-02-16)
      Comunicació de congrés
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      The hardware and software advances of Graphics Processing Units (GPUs) have favored the development of GPGPU (General-Purpose Computation on GPUs) and its adoption in many scientific, engineering, and industrial areas. ...
    • Exploring the interoperability of remote GPGPU virtualization using rCUDA and directive-based programming models 

      Castelló, Adrian; Peña, Antonio J.; Mayo, Rafael; Planas, Judit; Quintana Ortí, Enrique Salvador; Balaji, Pavan (Springer US, 2016-06-21)
      Article
      Accés obert
      Directive-based programming models, such as OpenMP, OpenACC, and OmpSs, enable users to accelerate applications by using coprocessors with little effort. These devices offer significant computing power, but their use can ...
    • GLT: A Unified API for Lightweight Thread Libraries 

      Castelló, Adrián; Seo, Sangmin; Mayo, Rafael; Balaji, Pavan; Quintana Ortí, Enrique Salvador; Peña, Antonio J. (Springer, 2017-08)
      Text en actes de congrés
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      In recent years, several lightweight thread (LWT) libraries have emerged to tackle exascale challenges. These offer programming models (PMs) based on user-level threads and incorporate their own lightweight mechanisms. ...
    • GLTO: On the Adequacy of Lightweight Thread Approaches for OpenMP Implementations 

      Castelló, Adrián; Mayo, Rafael; Quintana Ortí, Enrique Salvador; Seo, Sangmin; Balaji, Pavan; Peña, Antonio J. (IEEE, 2017-09-07)
      Comunicació de congrés
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      OpenMP is the de facto standard application programming interface (API) for on-node parallelism. The most popular OpenMP runtimes rely on POSIX threads (pthreads) implementations that offer an excellent performance for ...
    • Leveraging Task-Parallelism in Energy-Efficient ILU preconditioners 

      Aliaga, José Ignacio; Dolz Zaragozá, Manuel Francisco; Martín Huertas, Alberto Francisco; Mayo, Rafael; Quintana Ortí, Enrique Salvador (Springer, 2012)
      Comunicació de congrés
      Accés restringit per política de l'editorial
      We analyze the energy-performance balance of a task-parallel computation of an ILU-based preconditioner for the solution of sparse linear systems on multi-core processors. In particular, we elaborate a theoretical model ...
    • Symmetric rank-k update on clusters of multicore processors with SMPSs 

      Badia Sala, Rosa Maria; Labarta Mancho, Jesús José; Marjanovic, Vladimir; Martín Huertas, Alberto Francisco; Mayo, Rafael; Quintana Ortí, Enrique Salvador; Reyes, Ruymán (IOS Press, 2011)
      Comunicació de congrés
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      We investigate the use of the SMPSs programming model to leverage task parallelism in the execution of a message-pas sing implementation of the symmetric rank- k update on clusters equipped with multicore processors. Our ...