Best of Modern Code for March

More Efficient Numerical Simulation

More Efficient Numerical Simulation

The research team at Novosibirsk State University chose Intel® Advisor and Intel® Trace Analyzer and Collector to help speed up problem calculations for an astrophysical objects simulation project.


Intel® Advisor 2019

Quick Analysis of Vectorization Using Intel® Advisor 2019

Identify issues in your code that may be preventing you from using efficient processor resource by using Intel® Advisor.


Parallelism training

Single Instruction Multiple Data (SIMD) Parallelism and Intrinsics

Parallelism training from Colfax* teaches you to express data, thread, and process parallelism in applications for Intel® Xeon® and Intel® Xeon Phi® processors.

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For more complete information about compiler optimizations, see our Optimization Notice.