Asynchronous Peer-to-peer Distributed Computing for Financial Applications

Abstract

This paper deals with the numerical solution of financial applications, more specifically the computation of American and European options derivatives modelled by boundary values problems. In such applications we have to solve large-scale algebraic linear systems. We concentrate on synchronous and asynchronous parallel iterative algorithms carried out on peer-to-peer networks. The properties of the operators arising in the discretized problem ensure the convergence of the parallel iterative synchronous and asynchronous algorithms. Computational experiments performed on peer-to-peer networks are presented and analyzed.

HPC Applications Deployment on Distributed Heterogeneous Computing Platforms via OMF, OML and P2PDC

“…The P2PDC framework [4], [5] is a decentralised environment for high performance peer-to-peer distributed computing. This framework is specialised in task parallel applications and in particular P2PDC is intended for the resolution of numerical simulation and optimization problems via distributed iterative methods that lead to direct and frequent data exchanges between machines [4], [10]- [12]. The P2PDC communication process relies on the use of the Peer-to-Peer Self Adaptive communication Protocol, (P2PSAP) [13], [14], in which a reduced set of communication calls (e.g., P2Psend, P2Preceive and P2Pwait) are used in order to facilitate programming.…”

“…This hybrid mode is made possible as P2PDC decentralized environment is based on a hybrid topology manager and a hierarchical task allocation mechanism. Further details are available in [10] and [15].…”