Distributed Computing Design Methods for Multicore Application Programming

Abstract

In order to solve the serial execution caused by multithreaded concurrent access to shared data and realize the dynamic load balance of tasks on shared memory symmetric multi-processor (multi-core) computing platform, new design methods are presented. By presenting multicore distributed locks, multicore shared data localization, multicore distributed queue, the new design methods can greatly decrease the number of accessing the shared data and realize the dynamic load balance of tasks. For illustration, design scheme of multicore task manager of server software are given by using new design methods. Results shows the new design methods reduce the number of access shared resources, partially resolve the serial execution of cooperative threads and realize the dynamic task balance of server software, which validate the superiority of this approach.

Model-driven safety modeling and analysis of embedded parallel software

“…So after a long time, we can calculate stable probability of component in each error state according to (1). π represents the probabilities of component in each state in S. P represents the transition matrix, πi represents the probability that the component in state i. π = π * P ( 1 ) ߨ = ∑ ߨ ܲ ୀ ୀଵ (2) In order to analyze the safety of components, first we should calculate the stable probabilities of component in each error state according to (1) and (2), then we can get the probabilities of component in each safety level by calculate the sum of state probabilities of component in same safety level just as (3) presents. PL represents the probability of component in state whose safety level is L.…”

“…State probabilities of component will reach a stable state after some time. Write a program according to (1) and (5) …”

“…It uses multiple processing core which has moderate performance to improve energy efficiency and using high task/thread level parallel to improve the whole performance of processor [1] . However, when it bringing efficiency, many new safety risks are introduced due to synchronization, mutual exclusion and communication between the process/thread on multiprocessor [2] .…”