data-parallel programming model
Sequence Similarity Parallelization over Heterogeneous Computer Clusters Using Data Parallel Programming Model
... time-consuming, complex and error-prone process. In this paper, we present a sequence similarity parallelization technique using the Apache Storm as a stream processing framework with a data parallel ...
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Architecture_and_Application_of_the_Connection_Machine_Aug1988.pdf
... applied equally we11 to numeric and symbolic processing. In fact, they often found that many systems are naturally expressed in a data-parallel programming model. Fears that para[r] ...
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Hadoop MapReduce Scheduling Algorithms – A Survey
... a programming model which processes terrabytes of data in very less ...in parallel across nodes is a major concern in distributed file ...
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AN EVOLUTIONARY APPROACH TO PARALLEL COMPUTING USING GPU
... memory data environment directives are used to map data into underlying memory ...mapping data and enforcing synchronization for each architecture, resulting in differences in optimization ...CUDA ...
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Stochastic Programming Model for Discrete Lotsizing and Scheduling Problem on Parallel Machines
... the model, the formulation by the sto- chastic programming model (a mixed-integer program) was solved in its original format by the mixed integer optimizer in CPLEX, and only the data from ...
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Design of a Parallel Multi Threaded Programming Model for Multicore Architecture with Resource Sharing
... share data, to improve the ...task model the focus is on task level abstraction and it targets performance of the processors as well as timing constraints of the ...
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Title: Mapreduce Algorithms Optimizes the Potential of Big Data
... of data generated not only by the users and applications but also “machine-generated,” and such data is exponentially leading the change in the Big Data ...popular data processing engine for ...
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Cloud Based Perception and Control of Sensor Nets and Robot Swarms
... Data Analytics: Mahout, R, ImageJ, Scalapack High level Programming: Hive, Pig Parallel Programming model: Hadoop, Spark, Giraph Twister4Azure, Harp, MPI; Streaming: Storm, Kapfka or Rab[r] ...
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Making State Explicit for Imperative Big Data Processing
... vertex-centric programming model whereas SDGs target generic stateful ...for parallel processing of large datasets on clus- ...allows data-parallel versions to execute on mul- tiple ...
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Survey on Hadoop and Introduction to YARN
... Big Data, the analysis of large quantities of data to gain new insight has become a ubiquitous phrase in recent ...the data is growing at a staggering ...Big Data is Hadoop, which will be ...
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A Parallelization and Performance Optimization Framework for Mesh Based Simulations Using Target Execution Models
... The internal programming model is a hierarchy of groups. There are 3 levels of groups. The top level group is called communicator which consists of many processes, each of which is running in its own ...
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OVERVIEW OF MULTICORE, PARALLEL COMPUTING, AND DATA MINING
... access data in a diff. Long transmission time.. PARALLEL PROGRAMMING MODEL. Shared-Memory Programming model[r] ...
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Approaches to Data Parallel Programming
... JavaSpace model is a high level coordination toll for connecting processes together in a distributed ...different programming model, which views an application as a collection of processes ...
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HPJava: A Data Parallel Programming Alternative
... equivalent model of distributed arrays (the only very significant difference in this respect is that we eventually abandoned the “block cyclic” distribution ...some parallel libraries, and built the ...
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Optimizing Parallelism of Big Data Analytics at Distributed Computing System
... big data analytics as well as big data. In the big data analytics, it is essential that not only extracting valuable information from the big data but also processing the data ...with ...
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An Adjacent Analysis of the Parallel Programming Model Perspective: A Survey
... the programming paradigms and parallel computing models are strongly encouraged by the ...the programming approaches as existing with a critical view towards finding the enhanced research directions ...
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Parallel face Detection and Recognition on GPU
... in parallel on NVIDIA GeForce GTX 770 GPU which has compute Capability of ...process data in parallel and made some practical optimization changes to work fast in C based programming ...
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Airborne radar clutter simulation using GPU (CUDA)
... for parallel performance. Serial portions of code run on CPU and parallel portion of code run on ...is parallel computing platform and programming model created by NVIDIA and ...
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Online Full Text
... Two computational experiments are conducted to evaluate the performance of the model and algorithm. The first one includes small-sized instances by which the performance of the HDE is verified with comparing its ...
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Spring Data Programming Cookbook: Hot Receipes for Spring Data Development - Free Computer, Programming, Mathematics, Technical Books, Lecture Notes and Tutorials
... By using above components, you can handle requests with controllers, validate and convert request to Entity, and finaly perform CRUD operation by using Service that use DAO classes for each entity. In this situation, you ...
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