Computing hardware is steadily increasing the attainable operations executed per second. However, this increase is only accessible through “proper” parallelization of our software. While the multi-core/multi-thread issue has seen a lot of research and solutions in recent years, the intrinsic parallelism per CPU core (SIMD) has widely been neglected. A look at current hardware shows that our software should take SIMD execution seriously. Starting from a quick introduction to data-parallelism, I will present how this common software property can be translated to SIMD instructions and thus a considerable speedup of the software. This leads to the programming problem: Our programming languages are still unable to express synchronously data- parallel (e.g. SIMD) execution. I will present the current plans of the C++ committee for solving the issue. Vector types, as one of the solutions, allow explicit data-parallel programming via the type system. Since most developers do not want to wait for another 6 years, I will focus on SIMD programming with the Vc library, which is the basis for the C++ committee work. I will round up the talk with examples, presenting applications and upcoming extensions of the Vc library. (Added 2015-05-24) Links: Slides, Old Vc Project Page, New Vc Repository on Github