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How financial transactions are programmed using MPI in parallel computing?

Stochastic programming

Dynamic asset allocation

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Financial transactions are programmed using MPI in parallel computing to enhance performance and overcome bottlenecks. MPI (Message Passing Interface) is utilized to facilitate communication between nodes in multi-core clusters, enabling efficient market data dissemination and transaction processing. Studies show that using MPI in financial messaging can avoid centralized bottlenecks, leading to high performance. To address challenges on multi-core architectures, a hybrid programming model combining OpenMP for parallelization within nodes and MPI for inter-node message passing is recommended for large-scale financial applications. Parallel computing in financial institutions can provide significant optimization, potentially reshaping computational finance with substantial speedup gains. By leveraging MPI and parallel computing, financial systems can achieve improved efficiency and scalability in handling complex transactions.

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Journal Article•DOI High-Performance Computing on Wall Street B Spiers, D Wallez - Show less +1 more 01 Dec 2010-IEEE Computer 5 Citations	Not addressed in the paper.
Open access•Proceedings Article Experiments in running a parallel MPI financial simulator on a cluster and a dedicated grid Ahmed A Ibrahim 28 Mar 2010	The paper demonstrates parallelizing a financial risk management simulator using MPI on clusters and grids, showcasing scalable speedups and comparable performance between local clusters and grid configurations.
Journal Article•DOI Hybrid MPI/OpenMP Application on Multicore Architectures: The Case of Profit-Sharing Life Insurance Policies Valuation P. L. De Angelis, Francesca Perla, Paolo Zanetti - Show less +2 more 01 Jan 2013-Applied mathematical sciences 3 Citations	Financial transactions in parallel computing are programmed using MPI for inter-node message passing and OpenMP for intra-node parallelization, enhancing performance on multicore architectures for tasks like life insurance policies valuation.
Open access Evaluation of High Performance Financial Messaging on Modern Multi-core Systems Gregory J. Marsh 01 Jan 2010	MPI in parallel computing configures financial messaging systems to avoid centralized bottlenecks, enabling high-performance replication of market simulators across multi-core clusters for efficient transaction processing.
Proceedings Article•DOI Parallel Computing for Dynamic Asset Allocation Based on the Stochastic Programming Li Hong, Lu Zhonghua, Chi Xue-bin - Show less +2 more 14 Aug 2010 4 Citations	Financial transactions are programmed using MPI in parallel computing by implementing a multi-stage stochastic programming model for dynamic asset allocation, enhancing performance on DeepComp7000.

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