The course on High-Performance and Distributed Computing for Big Data sets the basics for understanding and using advanced computing infraestructures to solve biomedical problems that use large amounts of data. This course is about the basic tools, programming languages and algorithmic techniques that are needed to develop software solutions that are scalable in parallel and distributed environments. The techniques cover the main algorithm design and analysis ideas for three major classes of machines: multicore and manycore shared memory machines, distributed memory machines like clusters and supercomputers, and cloud environments. Techniques will be illustrated with representative problems from the biomedical field.