Parallel computing technologies 2016
نویسندگان
چکیده
منابع مشابه
High Performance Parallel Computing with Cloud and Cloud Technologies
We present our experiences in applying, developing, and evaluating cloud and cloud technologies. First, we present our experience in applying Hadoop and DryadLINQ to a series of data/compute intensive applications and then compare them with a novel MapReduce runtime developed by us, named CGL-MapReduce and MPI. Preliminary applications are developed for particle physics, bioinformatics, cluster...
متن کاملComputing High Resolution Explicit Corridor Maps using Parallel Technologies
This work investigates the approximated construction of Explicit Corridor Maps (ECMs). An ECM is a type of Navigation Mesh: a geometrical structure describing the walkable space of an environment that is used to speed-up the path-finding and crowdsimulation operations occurring in the environment. Additional geometrical routines that take advantage of the GPGPU model are presented, which improv...
متن کاملHigh Performance Parallel Computing with Clouds and Cloud Technologies
Infrastructure services (Infrastructure-as-a-service), provided by cloud vendors, allow any user to provision a large number of compute instances fairly easily. Whether leased from public clouds or allocated from private clouds, utilizing these virtual resources to perform data/compute intensive analyses requires employing different parallel runtimes to implement such applications. Among many p...
متن کاملParallel and Distributed Computing using Pervasive Web and Object Technologies
We review the growing power and capability of commodity computing and communication technologies largely driven by commercial distributed information systems. These systems are built from CORBA, Microsoft’s COM, Javabeans, and less sophisticated web and networked approaches. One can abstract these to a three-tier model with largely independent clients connected to a distributed network of serve...
متن کاملEditorial: Services Computing in 2016
IEEE Transactions on Services Computing (TSC) will celebrate its ninth anniversary in 2016. In the first issue of 2016, I would like to report the achievements of TSC to our readers, authors, reviewers, TSC editorial board and TSC executive advisory board. First, TSC has gained its impact factor of 3.049 and its five-year impact factor of 3.181, which places TSC in the elite class of highly ran...
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ژورنال
عنوان ژورنال: The Journal of Supercomputing
سال: 2016
ISSN: 0920-8542,1573-0484
DOI: 10.1007/s11227-016-1843-3