Výsledky vyhledávání - Parallel processing (Computer science) Computer architecture. Microprogramming.

The Stratosphere platform for big data analytics Autor Alexandrov, Alexander, Bergmann, Rico, Ewen, Stephan, Freytag, Johann-Christoph, Hueske, Fabian, Heise, Arvid, Kao, Odej, Leich, Marcus, Leser, Ulf, Markl, Volker, Naumann, Felix, Peters, Mathias, Rheinländer, Astrid, Sax, Matthias J., Schelter, Sebastian, Höger, Mareike, Tzoumas, Kostas, Warneke, Daniel

“…We present Stratosphere, an open-source software stack for parallel data analysis…”
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Extending Amdahl's Law for Energy-Efficient Computing in the Many-Core Era Autor Woo, Dong Hyuk, Lee, Hsien-Hsin S.

“… The revised models provide computer architects with a better understanding of many-core design types, enabling them to make more informed tradeoffs…”
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Adaptive energy-efficient scheduling algorithm for parallel tasks on homogeneous clusters Autor Liu, Wei, Du, Wei, Chen, Jing, Wang, Wei, Zeng, GuoSun

“…Increasing attention has been directed towards the two key issues of performance and energy consumption for parallel applications in high performance clusters…”
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Programming Languages and Systems: 29th European Symposium on Programming, ESOP 2020, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2020, Dublin, Ireland, April 25-30, 2020, Proceedings Autor Muller, Peter

“…This open access book constitutes the proceedings of the 29th European Symposium on Programming, ESOP 2020, which was planned to take place in Dublin, Ireland,…”
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Reevaluating Amdahl’s law in the multicore era Autor Sun, Xian-He, Chen, Yong

“…Microprocessor architecture has entered the multicore era. Recently, Hill and Marty presented a pessimistic view of multicore scalability…”
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The Cilk++ concurrency platform Autor Leiserson, Charles E.

“…The availability of multicore processors across a wide range of computing platforms has created a strong demand for software frameworks that can harness these…”
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Parallel multi-dimensional range query processing with R-trees on GPU Autor Kim, Jinwoong, Kim, Sul-Gi, Nam, Beomseok

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Supercomputing Frontiers: 6th Asian Conference, SCFA 2020, Singapore, February 24-27, 2020, Proceedings Autor Panda, Dhabaleswar K

“…This open access book constitutes the refereed proceedings of the 6th Asian Supercomputing Conference, SCFA 2020, which was planned to be held in February…”
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Tools and Algorithms for the Construction and Analysis of Systems: 27th International Conference, TACAS 2021, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2021, Luxembourg City, Luxembourg, March 27 – April 1, 2021, Proceedings, Part II Autor Groote, Jan Friso, Larsen, Kim Guldstrand

“…This open access two-volume set constitutes the proceedings of the 27th International Conference on Tools and Algorithms for the Construction and Analysis of…”
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Empowering Visual Categorization With the GPU Autor van de Sande, K E A, Gevers, T, Snoek, C G M

“… As the trend to increase computational power in newer CPU and GPU architectures is to increase their level of parallelism, exploiting this parallelism becomes an important direction to handle…”
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An Assessment of Integrated Digital Cellular Automata Architectures Autor Zhirnov, V., Cavin, R., Leeming, G., Galatsis, K.

“…, motivates the investigation of cellular automata architectures as information-processing alternatives…”
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Programming Languages and Systems: 31st European Symposium on Programming, ESOP 2022, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2022, Munich, Germany, April 2-7, 2022, Proceedings Autor European Symposium on Programming, Sergey, Ilya, European Conferences on Theory and Practice of Software

“…This open access book constitutes the proceedings of the 31st European Symposium on Programming, ESOP 2022, which was held during April 5-7, 2022, in Munich,…”
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Trellis: Portability across architectures with a high-level framework Autor Szafaryn, Lukasz G., Gamblin, Todd, de Supinski, Bronis R., Skadron, Kevin

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Simulation of one-layer shallow water systems on multicore and CUDA architectures Autor de la Asunción, Marc, Mantas, José M., Castro, Manuel J.

“… to obtain numerical results in reasonable times. This paper addresses how to speed up the numerical solution of a first order well-balanced finite volume scheme for 2D one-layer shallow water systems by using modern Graphics Processing Units (GPUs…”
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Processing of extreme moving-object update and query workloads in main memory Autor Šidlauskas, Darius, Šaltenis, Simonas, Jensen, Christian S.

“…The efficient processing of workloads that interleave moving-object updates and queries is challenging…”
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Adaptive parallel interval branch and bound algorithms based on their performance for multicore architectures Autor Sanjuan-Estrada, J. F., Casado, L. G., García, I.

“…This work studies how to adapt the number of threads of a parallel Interval Branch and Bound algorithm to the available computational resources based on its current performance…”
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Eliminating unscalable communication in transaction processing Autor Johnson, Ryan, Pandis, Ippokratis, Ailamaki, Anastasia

“…Multicore hardware demands software parallelism. Transaction processing workloads typically exhibit high concurrency, and, thus, provide ample opportunities for parallel execution…”
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SeaStar Interconnect: Balanced Bandwidth for Scalable Performance Autor Brightwell, R., Predretti, K.T., Underwood, K.D., Hudson, T.

“… designed the SeaStar specifically to support Sandia National Laboratories' ASC Red Storm, a distributed-memory parallel computing platform containing more than 11,000 network end-points…”
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Supercomputing Frontiers: 5th Asian Conference, SCFA 2019, Singapore, March 11-14, 2019, Proceedings Autor Abramson, David, de Supinski, Bronis R

“…This open access book constitutes the refereed proceedings of the 5th Asian Supercomputing Conference, SCFA 2019, held in Singapore in March 2019.The 6 full…”
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Tabu Search with two approaches to parallel flowshop evaluation on CUDA platform Autor Czapiński, Michał, Barnes, Stuart

“…The introduction of NVidia’s powerful Tesla GPU hardware and Compute Unified Device Architecture (CUDA…”
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