One of the major premises of P2P systems is to enable fully decentralized collaborative functionalities for supporting work teams and P2P communities. Within collaborative systems,...
On a distributed memory machine, hand-coded message passing leads to the most efficient execution, but it is difficult to use. Parallelizing compilers can approach the performance...
Two of the most commonly used models in computational learning theory are the distribution-free model in which examples are chosen from a fixed but arbitrary distribution, and the ...
Abstract. We present a framework for modelling heterogeneous distributed systems using graph transformations in the Synchronized Hyperedge Replacement approach, which describes com...
Monads are a useful abstraction of computation, as they model diverse computational effects such as stateful computations, exceptions and I/O in a uniform manner. Their potential ...