Vectorization plays a paramount role in speeding up programs with data parallelism inherent in their algorithms. Intel C++ Compiler can boost performance by detecting the potential parallelism in a loop by checking the data dependence and data flow using its auto-vectorization feature. With contemporary hardware, vector register widths continue to increase and explicit vector programming methods can be used to achieve greater performance. Intel® Cilk™ Plus allows a developer to do explicit vectorization using Intel® Cilk Plus™ SIMD directive, Array Notation and elemental functions to enable the performance potential in your application. Attend this webinar and see it in action, complete with code samples.
Part 4 of 4 - Introduction to Vectorization using Intel® Cilk™ Plus Extensions