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Intel® Math Kernel Library (Intel® MKL) is a computational math library aimed at unleashing performance on Intel® architecture.
Join us for an in-depth look at software development for embedded, mobile, and the Internet of Things.
Come learn what Intel specifically did to optimize LAMMPS to take advantage of Intel® Xeon® and Intel® Xeon® coprocessors, and about the resulting performance from those optimizations.
As systems grow in complexity due to the number and type of cores, and vector size, you need to develop and update code to ensure scalability and take advantage of current and next-gen platforms.
Learn how to build and optimize imaging, in-vehicle infotainment (IVI), long-term evaluation reference design, and surveillance applications on Intel® architecture using different components of Intel®
A close look at software-based power analysis solutions on Intel® architecture-based systems.
A JTAG debugger can be a great tool in kernel module development.
Processor graphics hardware occupies almost 30% of the processor silicon real estate.
The vectorization features of the Intel compiler continue to get more powerful with each succeeding version.
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