Engineers and scientists working in a heterogeneous computing environment often want to distribute the various tasks of an application âÂ such as computation, storage, analysis, or visualization â to different types of resources and libraries. Often, a technique known as remote procedure call (RPC) is used that allows local calls to be transparently executed onto remote resources.
Using RPC on a high-performance computing system presents two limitations, however: the inability to take advantage of the native network transport and the inability to transfer large amounts of data.
To avoid these limitations, we define Mercury â an RPC interface specifically designed for high-performance computing.Â Mercury builds on a small, easily ported network abstraction layer, providing operations closely matched to the capabilities of high-performance network environments. Unlike most other RPC frameworks, Mercury directly supports handling remote calls containing large data arguments. Moreover, Mercuryâs network protocol is designed to scale to thousands of clients.