This symposium focuses on techniques, experiences, applications, and lessons learned for interoperable services in the cloud, particularly in the realms of high performance computing. For instance, HPC may be used for the construction of mathematical models and numerical solutions and techniques for solving scientific, socio-scientific and engineering problems. It often requires a huge number of computing and storage resources to perform large-scale analyses and experiments. Users could get access to their own virtualized HPC cluster in a self-service, dynamically scalable and fully configurable environment. Cloud computing can address many of the aforementioned concerns. Such a computing paradigm shift provides a flexible high performance computing environment.