Exploració per autor "Torres Viñals, Jordi"
Ara es mostren els items 66-85 de 103
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Managing SLAs of heterogeneous workloads using dynamic application placement
Carrera Pérez, David; Steinder, Malgorzata; Whalley, Ian; Torres Viñals, Jordi; Ayguadé Parra, Eduard (ACM Press, NY, 2008)
Text en actes de congrés
Accés obertIn this paper we address the problem of managing heterogeneous workloads in a virtualized data center. We consider two different workloads: transactional applications and long-running jobs. We present a technique that ... -
Mask-guided sample selection for semi-supervised instance segmentation
Bellver Bueno, Míriam; Salvador Aguilera, Amaia; Torres Viñals, Jordi; Giró Nieto, Xavier (2020-07-05)
Article
Accés obertImage segmentation methods are usually trained with pixel-level annotations, which require significant human effort to collect. Weakly-supervised pipelines are the most common solution to address this constraint because ... -
Matching renewable energy supply and demand in green datacenters
Goiri, Iñigo; Haque, Md E.; Le, Kien; Beauchea, Ryan; Nguyen, Thu D.; Guitart Fernández, Jordi; Torres Viñals, Jordi; Bianchini, Ricardo (Elsevier, 2015-02-01)
Article
Accés obertIn this paper, we propose GreenSlot, a scheduler for parallel batch jobs in a datacenter powered by a photovoltaic solar array and the electrical grid (as a backup). GreenSlot predicts the amount of solar energy that will ... -
Maximizing revenue in Grid markets using an economically enhanced resource manager
Macías Lloret, Mario; Rana, Omer; Smith, Garry; Guitart Fernández, Jordi; Torres Viñals, Jordi (2008-09-01)
Article
Accés restringit per política de l'editorialTraditional resource management has had as its main objective the optimization of throughput, based on parameters such as CPU, memory, and network bandwidth. With the appearance of Grid markets, new variables that determine ... -
Mining urban events from the tweet stream through a probabilistic mixture model
Capdevila Pujol, Joan; Cerquides, Jesús; Torres Viñals, Jordi (2017-08-30)
Article
Accés obertThe geographical identification of content in Social Networks have enabled to bridge the gap between online social platforms and the physical world. Although vast amounts of data in such networks are due to breaking news ... -
Model-based ML for retrospective event detection
Capdevila Pujol, Joan; Cerquides, Jesús; Torres Viñals, Jordi (Barcelona Supercomputing Center, 2018-04-24)
Text en actes de congrés
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Modeling cloud resources using machine learning
Berral García, Josep Lluís; Gavaldà Mestre, Ricard; Torres Viñals, Jordi (2013)
Report de recerca
Accés obertCloud computing is a new Internet infrastructure paradigm where management optimization has become a challenge to be solved, as all current management systems are human-driven or ad-hoc automatic systems that must be tuned ... -
Multifaceted resource management for dealing with heterogeneous workloads in virtualized data centers
Goiri Presa, Íñigo; Fitó, Josep Oriol; Julià Masso, Ferran; Nou Castell, Ramon; Berral García, Josep Lluís; Guitart Fernández, Jordi; Torres Viñals, Jordi (IEEE Computer Society Publications, 2010)
Comunicació de congrés
Accés obertAs long as virtualization has been introduced in data centers, it has been opening new chances for resource management. Now, it is not just used as a tool for consolidating underused nodes and save power, it also allows ... -
Multimedia big data computing for in-depth event analysis
Tous Liesa, Rubén; Torres Viñals, Jordi; Ayguadé Parra, Eduard (Institute of Electrical and Electronics Engineers (IEEE), 2015)
Text en actes de congrés
Accés obertWhile the most part of ”big data” systems target text-based analytics, multimedia data, which makes up about 2/3 of internet traffic, provide unprecedented opportunities for understanding and responding to real world ... -
Obtaining synchronization-free code with maximum parallelism
Gavaldà Mestre, Ricard; Ayguadé Parra, Eduard; Torres Viñals, Jordi (1996-03)
Report de recerca
Accés obertThis paper addresses the problem of extracting the maximum synchronization-free parallelism that may be present in loops. In order to reduce communication and synchronization overheads, some parallelizing compilers ... -
On automatic loop data-mapping for distributed-memory multiprocessors
Torres Viñals, Jordi; Ayguadé Parra, Eduard; Labarta Mancho, Jesús José; Llaberia Griñó, José M.; Valero Cortés, Mateo (Springer, 1991)
Text en actes de congrés
Accés obertIn this paper we present a unified approach for compiling programs for Distributed-Memory Multiprocessors (DMM). Parallelization of sequential programs for DMM is much more difficult to achieve than for shared memory systems ... -
ParaView + Alya + D8tree: Integrating high performance computing and high performance data analytics
Artigues, Antoni; Cugnasco, Cesare; Becerra Fontal, Yolanda; Cucchietti, Fernando; Houzeaux, Guillaume; Vázquez, Mariano; Torres Viñals, Jordi; Ayguadé Parra, Eduard; Labarta Mancho, Jesús José (Elsevier, 2017)
Article
Accés obertLarge scale time-dependent particle simulations can generate massive amounts of data, making it so that storing the results is often the slowest phase and the primary time bottleneck of the simulation. Furthermore, analysing ... -
Performance impact of the grid middleware
Carrera Pérez, David; Guitart Fernández, Jordi; Beltran Querol, Vicenç; Torres Viñals, Jordi; Ayguadé Parra, Eduard (American Scientific Publishers, 2006-01)
Capítol de llibre
Accés obertThe Open Grid Services Architecture (OGSA) defines a new vision of the Grid based on the use of Web Services (Grid Services). The standard interfaces, behaviors and schemes that are consistent with the OGSA specification ... -
Power-aware multi-data center management using machine learning
Berral García, Josep Lluís; Gavaldà Mestre, Ricard; Torres Viñals, Jordi (2013)
Text en actes de congrés
Accés obertThe cloud relies upon multi-datacenter (multi-DC) infrastructures distributed along the world, where people and enterprises pay for resources to offer their web-services to worldwide clients. Intelligent management is ... -
Predicting web server crashes: a case study in comparing prediction algorithms
Alonso López, Javier; Torres Viñals, Jordi; Gavaldà Mestre, Ricard (IARIA, 2009)
Text en actes de congrés
Accés obertTraditionally, performance has been the most important metrics when evaluating a system. However, in the last decades industry and academia have been paying increasing attention to another metric to evaluate servers: ... -
PyCOMPSs: Parallel computational workflows in Python
Tejedor, Enric; Becerra Fontal, Yolanda; Alomar, Guillem; Queralt Calafat, Anna; Badia Sala, Rosa Maria; Torres Viñals, Jordi; Cortés, Toni; Labarta Mancho, Jesús José (2017-01-01)
Article
Accés obertThe use of the Python programming language for scientific computing has been gaining momentum in the last years. The fact that it is compact and readable and its complete set of scientific libraries are two important ... -
Realismo y arquitectura
Torres Viñals, Jordi (1991)
Article
Accés obert -
Recurrent semantic instance semantic segmentation
Bellver, Míriam; Salvador Aguilera, Amaia; Campos, Víctor; Marqués Acosta, Fernando; Giró Nieto, Xavier; Torres Viñals, Jordi (Barcelona Supercomputing Center, 2018-04-24)
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Scaling a convolutional neural network for classification of adjective noun pairs with TensorFlow on GPU clusters
Campos, Víctor; Sastre, Francesc; Yagües, Maurici; Torres Viñals, Jordi; Giró Nieto, Xavier (Institute of Electrical and Electronics Engineers (IEEE), 2017)
Text en actes de congrés
Accés obertDeep neural networks have gained popularity in recent years, obtaining outstanding results in a wide range of applications such as computer vision in both academia and multiple industry areas. The progress made in recent ... -
Scaling DBSCAN-like algorithms for event detection systems in Twitter
Capdevila Pujol, Joan; Pericacho, Gonzalo; Torres Viñals, Jordi; Cerquides, Jesús (Springer, 2016-11-25)
Capítol de llibre
Accés obertThe increasing use of mobile social networks has lately transformed news media. Real-world events are nowadays reported in social networks much faster than in traditional channels. As a result, the autonomous detection of ...