CodeModernization

Find out how the latest Intel® MKL Compact functions—six of them to be precise—deliver vectorization-based optimizations for HPC apps that depend on matrix computations on large groups of very small matrices.

Today’s business applications―such as analytics and deep learning—require extensive numerical computing. New enhancements to Java* enable optimized performance with the latest Intel® Xeon® processors.

Vectorization is having a renaissance (like you didn’t know). Get an overview of this resurging mainstay and best practices for using it to speed code as implemented in WARP3D.

Explore new ways to visually represent what’s binding up application performance and how best to address the issues using Intel® Advisor’s Roofline Analysis feature.

Get in the performance driver's seat. See how using the power of the Intel® Math Kernel Library, LIBXSMM, and Intel® compilers to speed up Eigen* and EKF* impacts automated driving software.

Get an in-depth look at the Flow Graph Analyzer technology preview feature in Intel® Parallel Studio XE, using an autonomous driving application to illustrate the flow graph computation and analysis.