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2016-12-02T00:00:00.000Z

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Silvina Grad-Freilich

Senior Product Manager

The MathWorks , Inc.

Direct Phone: (508) ***-****       

Email: s***@***.com

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The MathWorks , Inc.

3 Apple Hill Drive

Natick, Massachusetts 01760

United States

Company Description

MathWorks is the leading developer of mathematical computing software. MATLAB, the language of technical computing, is a programming environment for algorithm development, data analysis, visualization, and numeric computation. Simulink is a graphical envi ... more

Find other employees at this company (3,966)

Background Information

Affiliations

Board Member
MIT Enterprise Forum

Board of Advisors Member
Innovation Israel Inc

Education

B.Sc

Computer Science

National University of La Plata

M.Sc.

Management

Massachusetts Institute of Technology

M.Sc. degrees

Computer Science

National University of La Plata

Web References (185 Total References)


About Us

www.innovationisrael.org [cached]

Silvina Grad-Freilich Parallel Computing Specialist The MathWorks Corporation


AWS Announces Availability of P2 Instances for Amazon EC2 | Business Wire

feeds.businesswire.com [cached]

"MATLAB users moving their analytics and simulation workloads onto the AWS Cloud require their analyses to be processed quickly," said Silvina Grad-Freilich, Senior Product Manager, MathWorks.


AWS Announces Availability of P2 Instances for Amazon EC2 | Business Wire

feeds.businesswire.com [cached]

"MATLAB users moving their analytics and simulation workloads onto the AWS Cloud require their analyses to be processed quickly," said Silvina Grad-Freilich, Senior Product Manager, MathWorks.


"MATLAB users moving their analytics and ...

presswire.com [cached]

"MATLAB users moving their analytics and simulation workloads onto the AWS Cloud require their analyses to be processed quickly," said Silvina Grad-Freilich, Senior Product Manager, MathWorks.


"Multi-threading is for in-process ...

www.deskeng.com [cached]

"Multi-threading is for in-process computation, while parallel computing is for out-of-process computations," says Silvina Grad-Freilich, MathWorks' senior manager for parallel computing and deployment products.

...
"The applications that benefit the most are those that have computations heavy enough that they can benefit from breaking the data into chunks," says Grad-Freilich. "You need to make the right decision for the technology that you use based on your actual application needs."
However, not every task within an application can be parallelized. Companies may not see the speed-up they expect if there are lengthy sequential processes involved in the solution. "For example, an application may have a sequential part that runs before and after the other computational work, so the overall speedup of the application is less than linear because of the serial nature of the beginning and end processes," Grad-Freilich says.

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