Examples of using Parallel computing in English and their translations into Romanian
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Parallel Computing.
What is Parallel Computing?
It takes better advantage of Parallel Computing.
In parallel computing, all processors have access to a shared memory.
Ask me about computational simulation, parallel computing, wavelets.
We promised parallel computing benchmarks lately. Here we go….
Casting process simulation Forming The calculation methods and parallel computing technologies.
Parallel Computing, also called Multitasking is when a software executes more then 1 task at a time.
Using the Sakai platform for distance learning in the field of cluster parallel computing systems.
Setting up a cluster computer capable to perform parallel computing for Monte Carlo simulations, tomographic reconstruction and image analysis(AP2K).
The AMD x86 Open64 Compiler Suite is a high performance,production quality code generation tool designed for high performance parallel computing workloads.
Overview This course covers how to program GPUs for parallel computing. Some of the applications include deep learning, analytics, and engineering applications.
Research Fields and Interests Computing architectures; Emerging systems; Reconfigurable systems; System reliability;System testing; Parallel computing; Instrumentation and measurement.
In a narrow sense,HPC mainly includes parallel computing and cluster computing, which are used in high-tech simulation,computing and so on.
Investigation of mathematical growing economic models andelaboration of algorithms for solving of problems from applied mechanics basing on parallel computing using high performance cluster with many processors.
He has worked in parallel computing and computer graphics since 1993, with a special focus on parallel programming and debugging, cluster and especially grid computing. .
By creating an efficient, close-to-the-metal programming interface,OpenCL will form the foundation layer of a parallel computing ecosystem of platform-independent tools, middleware and applications.
Its development was"motivated by the prospect of highly parallel computing machines consisting of dozens, hundreds, or even thousands of independent microprocessors, each with its own local memory and communications processor, communicating via a high-performance communications network.".
The objective is to leverage European assets in processor and system architecture, interconnect and data localisation technologies,cloud computing, parallel computing and simulation software for all market segments of computing.
This instructor-led, live training course covers how to program GPUs for parallel computing, how to use various platforms, how to work with the CUDA platform and its features, and how to perform various optimization techniques using CUDA.
It is mentioned that HPC is more powerful than cloud computing because of its outstandingperformance of physical architecture, such as clustering and parallel computing of CPU and GPU, which greatly improves the ability of HPC data center in data acquisition and data mining.
Its development was& quot;motivated by the prospect of highly parallel computing machines consisting of dozens, hundreds or even thousands of independent microprocessors, each with its own local memory and communications processor, communicating via a high-performance communications network.
Its big-data capable architecture includes ScaleR algorithms optimised for fast parallel execution,DistributedR parallel computing framework for managing compute resources, and ConnectR for versatile connections to data sources.
Overview This instructor-led, live training course covers how to program GPUs for parallel computing, how to use various platforms, how to work with the CUDA platform and its features, and how to perform various optimization techniques using CUDA.