Examples of using Parallel computing in English and their translations into Dutch
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Programming
It is a form of parallel computing.
Extension of the C programming language designed for high performance, parallel computing.
Some other Live CDs for Parallel Computing are BCCD and ClusterKnoppix.
Ask me about computational simulation, parallel computing.
Without going into too many details, Quantum CSS uses parallel computing and other improvements to make the handling of CSS in Firefox a lot faster.
Overview This course covers how to program GPUs for parallel computing.
In a narrow sense, HPC mainly includes parallel computing and cluster computing, which are used in high-tech simulation,
So linux is best suited for parallel computing.
And taking into account trends in the field of parallel computing on GPU development,
Development and implementation of distributed and parallel computing applications.
And taking into account trends in the field of parallel computing on GPU development,
by admin PyOpenCL provides access to APIs to OpenCL parallel computing with Python.
Petri's work significantly advanced the fields of parallel computing and distributed computing,
PyOpenCL provides access to APIs to OpenCL parallel computing with Python.
significantly hampering the acceleration potential of parallel computing.
Tested with MATLAB and Simulink R2019b Update 1 and Parallel Computing Toolbox using a vehicle dynamics model.
I am an undergraduate student of computer science and I was given a project to solve a mathematical problem using MPI in parallel computing lab.
NGC integration is up to 1,000 times quicker than a CPU for parallel computing, and allows Tensorflow,
the acceleration factor is expected to decrease when implementing parallel computing.
Participat ing organizations, which must already pos sess expertise in parallel computing, will be offered a contribution of up to 100% of the cost of the equipment.
production quality code generation tool designed for high performance parallel computing workloads.
such as clustering and parallel computing of CPU and GPU,
Each and every service needed for LAM/MPI is configured automatically LAM/MPI is a message passing interface specification used for parallel computing.
software development in C++/C, parallel computing, human computer interaction and user interface design.
they can address more difficult problems, such as parallel computing and distributed systems.
ParallelKnoppix A Knoppix based Live CD that provides a Linux Cluster ready for MPI and other Parallel Computing in less than 15 minutes!
where he carried out research on parallel computing and gained his first experience of management.
GPU Instances- Guaranteed resources, designed to speed up parallel task processing NGC integration is up to 1,000 times quicker than a CPU for parallel computing, and allows Tensorflow,
access GPUs(Graphics Processing Units), as well as other densely parallel computing devices directly from the Python programming language.