Parallelism of multi-core and manycore along with the associated number of threads has been the face of parallelism for many years. Scaling performance on modern processors requires taking advantage of all that the hardware has to offer. With the advent of wider data paths and associated “vector” units in the hardware the performance advantages can only be taken if your code is written to do so. Intel Advisor, part of the Intel Parallel Studio XE suite of tools, has added features that automatically analyze and helps you identify areas of your code where vectorization can be implemented. VTune Performance Analyzer gets you faster memory access, better scalability and optimal efficiency from the microarchitecture. This session will demonstrate how the process of identifying and modifying your code to take advantage of the vector hardware will boost your application performance.