Examples of using Parallel programming in English and their translations into Greek
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Principles of Parallel Programming.
Parallel programming models and tools.
Development that parallel programming is difficult.
TBB is a collection of components for parallel programming.
Orca: A language for parallel programming of distributed systems.
It provides visualization, image manipulation, andplotting as well as parallel programming.
TM systems are a new way of parallel programming, which is considered promising by many researchers.
In addition to teaching operating systems,he also teaches computer networks, parallel programming, and software engineering.
For an introduction to parallel programming, in particular a language called Hadoop, see Vo and Silvia(2016).
The journey from introducing the history of Javascript andprogressively moving into Node, parallel programming, promise and async.
Experience on parallel programming with emphasis on GPU-programming, CUDA, familiarity with the thrust library.
It provides students with an in-depth understanding of parallel programming, modeling, simulation and analysis of intensive data.
Her professional interests also include Distributed systems, Operating systems,Network algorithms and Parallel programming.
Parallelism is becoming ubiquitous, and parallel programming is becoming central to the programming enterprise.
NodeJS& AngularJS The journey from introducing the history of Javascript andprogressively moving into Node, parallel programming, promise and async.
It includes an in-depth understanding of parallel programming, modeling, simulation and analysis of intensive data.
Objectives: Introduction to the fundamental concepts of Parallel Processing with emphasis on parallel machines and parallel programming.
Unlike some parallel programming languages, Multilisp incorporates constructs for causing side effects and for explicitly introducing.
Evaluate the efficiency of a parallel processing system andevaluate the types of application for which parallel programming is useful.
His research interests lie in the areas of parallel anddistributed systems, parallel programming, computer architecture, systems software and performance analysis.
Therefore, researchers making computations on large datasets often spread the work over many computers,a process sometimes called parallel programming.
Parallel programming approaches:(1) Automatic-parallelizing compilers,(2) Extending serial languages with parallelizing constructs,(3) parallel languages for Functional Programming. .
Research Areas: His interests lie in computational geometry, complexity theory, multidimensional range searching, database complexity,distributed information systems and parallel programming.
Approaches based on standard C or C++(with libraries orother extensions allowing parallel programming) are found in the Catapult C tools from Mentor Graphics, and the Impulse C tools from Impulse Accelerated Technologies.
Description: The announced position aims in reinforcing the existing research manpower andresearch activity of the Institute of Computer Science of FORTH in the area of Parallel Programming Languages, Tools, and Systems.
Approaches based on standard C or C++(with libraries orother extensions allowing parallel programming) are found in the Catapult C tools from Mentor Graphics, the Impulse C tools from Impulse Accelerated Technologies, and the free and open-source ROCCC 2.0 tools from Jacquard Computing Inc.
Defined by its host city and region, each show is unique, as reflected in its participating galleries,the artworks presented, and the parallel programming produced in collaboration with local institutions for each edition.
The MSc program in Computer Engineering offers to its graduate students' opportunities in specializing in areas on which scientific and technological advances have increased recently, such as software engineering,algorithm analysis, and design, parallel programming, computer networks, mobile applications, and web services.
His interests and the activities of his research team WEB lie in the areas of parallel anddistributed systems, parallel programming, systems software, computer architecture, embedded systems and performance analysis.
The project aspires to further develop already developed data processing techniques and to develop innovative software solutions utilizing cutting-edge research to be carried out within the project on in-memory databases,algorithms and parallel programming models and analytical methods data(big data analytics).