Examples of using Scientific computing in English and their translations into Ukrainian
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Scientific Computing.
Data Science and Scientific Computing.
Scientific Computing using GNU Octave.
GPGPU pipelines developed out of scientific computing.
Scientific computing environment.
The National Energy Research Scientific Computing Center.
The scientific computing community's experiments with the new hardware began with a matrix multiplication routine(2001);
The J H Wilkinson Prize in Numerical Analysis and Scientific Computing.
Huge resources for scientific computing are available at SISSA.
In late 1992,POSTGRES became the primary data manager for the Sequoia 2000 scientific computing project.
Torch(www. torch. ch): A scientific computing framework with wide support for machine learning algorithms, written in C and lua.
POSTGRES became the primary data manager for the Sequoia 2000 scientific computing project in late 1992.
It impacted no one who wasn't already doing scientific computing and the scale and scope of the problem in technical terms was never estimated to be much of anything.
The International MaxPlanck Research School for Computational Biology and Scientific Computing.
In certain fields, such as graphics and scientific computing the amount can be very large.
The International MaxPlanck Research School for Computational Biology and Scientific Computing.
On a home computer isusually not expected to produce labor-intensive scientific computing, and applications that require higher performance- this is video games.
This is an academic programme designed for students with a strong interest in mathematics,mathematical statistics and scientific computing.
Many of us in the field of highly parallel scientific computing recognize that it is often quite difficult to match the run time performance of the best conventional supercomputers.
These applications range fromapps for mobile devices to embedded systems and scientific computing for supercomputers.-.
The scientific computing community's experiments with the new hardware began with a matrix multiplication routine(2001); one of the first common scientific programs to run faster on GPUs than CPUs was an implementation of LU factorization(2005).
This is an academic programme designed for students with a strong interest in mathematics,mathematical statistics and scientific computing.
The scientific computing community's experiments with the new hardware started with a matrix multiplication routine(2001); one of the first common scientific programs to run faster on GPUs than CPUs was an implementation of LU factorization(2005).
The program turns your PC into a business machine, a productive workstation, an entertainment center,a game machine, and scientific computing tsentr.
The curriculum consists of three required core courses, three required concentration foundation courses,a course in scientific computing and high-performance computing(HPC), three elective courses focused on the student's chosen research concentration, and a doctoral dissertation.
The recent emphasis on visualization started in 1987 with thespecial issue of Computer Graphics on Visualization in Scientific Computing.
In early 1955, Dr. Edward Teller of the University ofCalifornia Radiation Laboratory wanted a new scientific computing system for three-dimensional hydrodynamic calculations.
This paper commonly is considered as one of the first papers to study rounding error andinclude discussion of what is called scientific computing nowadays.
Because these machines had less computational power than the IBM 701 and ERA 1103,which were favored for scientific computing, the 702 was aimed at business computing. .
Apart from computational number theory and primality testing,he has worked in the areas of computational geometry, scientific computing, parallel algorithms and randomized algorithms.