Distributed
An implemention of the MapReduce programming model written in C++ and based on gRPC. Consists of a single master program that delegates tasks to a number of workers in highly parallel and fault tolerant manner. Based on the MapReduce paper.
Improving mapping of computational tasks to manycore architectures using computational group theory, published in IEEE TCAD. MPsym can determine whether different mappings are equivalent due to symmetries of an architecture’s topology. Works efficiently with large, hierarchical architectures and can be used to improve existing mapping discovery algorithms by making them “symmetry aware”. Implemented in C++ for performance with easy to use Python bindings.
