parallel data
Multimodal Comparable Corpora as Resources for Extracting Parallel Data: Parallel Phrases Extraction
... The basic system architecture is described in Fig- ure 3. We can distinguish three steps: auto- matic speech recognition (ASR), statistical ma- chine translation (SMT) and information retrieval (IR). The ASR system ...
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Technique of Building Parallel Data Mining Algorithms
... constructed parallel data mining ...of parallel algorithm ...the parallel algorithm does not allow increasing the efficiency of the algorithm to the required level, then you can return to the ...
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Twister4Azure: Parallel Data Analytics on Azure
... pleasing parallel problems through sophisticated parallel data ...scale data intensive life sciences problems formulated as a pipeline of data storage, analysis, and ...pipeline, ...
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Parallel Data, Tools and Interfaces in OPUS
... for data-intensive NLP. The language pair with the largest amount of parallel data is Spanish-English with about 36 million parallel sentences containing roughly 500 million ...are ...
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Parallel Data Mining on Multicore Systems
... the parallel algorithm consists of “compute-synchronize” stages where synchronization typically implies all cores reach a barrier [6, ...allowing data to be ...
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Parallel Data Mining on Multicore Clusters
... supports the key concurrent primitives used in both of them. SALSA proposes that one builds applications as a suite of services [8, 9] rather than traditional subroutine or class libraries. The service model allows one ...
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Parallel Data Mining on Multicore Systems
... of data mining applications implemented in parallel on multicore ...with parallel synchronization from a runtime CCR (Concurrency and Computation Runtime) developed at Microsoft Research [13, ...
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Parallel Data Mining for Medical Informatics
... the data deluge impacts all aspects of Life Sciences from chemistry data in PubChem; genetic sequence data through health ...This data demands analysis and mining algorithms that are both high ...
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man022 02 Parallel Data Transforms pdf
... Map table full Mapping not defined Mapping description incorrect Mapping identifier expected Mapping is not initialised Mapping may not be initialised Mapping name missing Mapping vector[r] ...
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Parallel Data Mining on Multicore and Cluster Systems
... § On a multicore machine mainly thread-level parallelism § Microsoft CCR supports “MPI-style “ dynamic threading and via .Net provides a DSS a service model of computing; § Detailed perf[r] ...
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Parallel Data Mining on Multicore and Cluster Systems
... Initial performance results show linear speedup on up to 8 nodes dual core clusters. Collaboration:[r] ...
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Twister4Azure: Parallel Data Analytics on Azure
... Yanfeng Zhang , Qinxin Gao , Lixin Gao , Cuirong Wang, iMapReduce: A Distributed Computing Framework for Iterative Computation, Proceedings of the 2011 IEEE International Symposium on Pa[r] ...
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Optimization of Parallel Data Accessing in Big Data Processing
... MapReduce: MapReduce is a software framework that allows developers to write programs that process massive amounts of unstructured data in parallel across a distribute cluster of processor or stand-alone ...
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Parallel Data mining on Multicore Clusters
... Clustering is a well known data mining algorithm with K-means best known approach Two ideas that lead to new supercomputer data mining algorithms Use deterministic annealing to avoid loc[r] ...
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Parallel Data Mining on Multicore Clusters
... Clustering with deterministic annealing DA Mixture Models Expectation Maximization with DA Metric Space Mapping for visualization and analysis Matrix algebra as needed... Multicore SALSA[r] ...
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A BSPlib-style API for Bulk Synchronous Parallel ML
... a parallel data structure named parallel ...a parallel vector, each processor contains one value of the ...this data structure, BSML offers a global view of parallel programs, ...
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Writing ROOT Data in Parallel with TBufferMerger
... new data produced each year at the Large Hadron Collider (LHC) is stored in ROOT’s file format ...ROOT data per year [2] that needs to be stored by physicists for later ...analyse data is ...
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Serial Communication Protocol
... The parallel to serial conversion unit is the functional unit that is mainly responsible for the conversion of parallel data is to serial data; the data is output on the CLK clock edge ...
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Analyzing and Improving the Efficiency of Hadoop-Cluster for Big Data Analysis
... scale data examination ...in parallel DBMS for over 20 years, some have thought about MR as a radically new handling model ...two parallel DBMSs is ...stack data into and tune the execution of ...
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Characteristics of Big Data Applications and Scalable Software Systems
... Identify/develop parallel large scale data analytics data analytics library SPIDAL (Scalable Parallel Interoperable Data Analytics Library ) of similar quality to PETSc and ScaLAPACK ...
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