HPC has always been the go-to field for solving large-scale scientific and engineering problems. However, running applications on HPC systems requires significant technical know-how of the underlying systems software to effectively run applications. To address the tedium of setting up HPC environments, HPC as a Service (HPCaaS) has recently been proposed to move HPC into the cloud. Borrowing from the success of Software as a Service (SaaS), HPCaaS purports to do the same — simplifying and commoditizing HPC to the masses via an automated cloud delivery system. The emphasis is making the process of scheduling jobs on HPC resources as transparent as possible. A user need not know how many processors to use but that a job gets executed with a specified amount of parallelism. To read further, please visit http://www.hpcwire.com/2014/02/19/scheduling-hpc-service/.