This talk is about data parallelism, FOSS software, many-core architectures and C++ meta programming and why we need it for open source projects. The speakers will relate to their experience in high-performance computing and scientific free software project leads over the last years, helping you to get your data crunched faster. We start with a short introduction to indirect, pragma based drop-in languages like OpenMP and OpenACC that can bring your code up to speed in no time; just before telling you that those are not for the cool kids. The latter like explicit parallelism and abstracting it into kernels that can compile to multi-core CPUs, pretty-long-SIMD vector instructions and many-core architectures like GPUs without being copy-paste-rewritten, avoiding maintenance hell.