Graph clustering (also called graph partitioning) -- clustering the nodes of a graph -- is an important problem in diverse data mining applications. Traditional approaches involve...
Graphic cards performance increase and fast Internet connections are popularising Networked Virtual Environments. This immature paradigm of real-time applications has still to sol...
Many emerging large-scale data science applications require searching large graphs distributed across multiple memories and processors. This paper presents a distributed breadth...
Andy Yoo, Edmond Chow, Keith W. Henderson, Will Mc...
This paper presents the underlying methodology of Cosmos, an interactive approach for hardware software co-design capable of handling multiprocessor systems and distributed archit...
Parallel applications based on irregular meshes make use of mesh partitioners for efficient execution. Some mesh partitioners can map a mesh to a heterogeneous computational plat...