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Monte Carlo (MC) simulation plays an important part in dose calculation for radiotherapy treatment planning. Since the accuracy of MC simulation relies on the number of simulated particles histories, it's very time-consuming. The Intel Many Integrated Core (MIC) architecture, which consists of more than 50 cores and supports many parallel programming models, provides an efficient alternative for accelerating...
This paper provides an overview of CyMRisk, an experimental architecture for computing mission risk due to cyber attack. In its current form, the approach employs a simulation of key aspects of a target business/mission process as well as attacker behavior to estimate mission impact due to cyber attacks. In addition, CyMRisk estimates worst case attacker level of effort associated with carrying out...
Monte Carlo simulation is mainly done in computer clusters, supercomputers or computers coupled with hardware accelerators. These processing methods are sufficiently fast, however, this speed comes at the expense of physical area and power consumption. The current study aims to use System-On-Programmable-Chip (SOPC) to accomplish the same task but using a smaller physical footprint. The SOPC approach...
MapReduce is popular in cloud computing area. It's mainly used in Information Retrieval, Distributed Storage, DM, Machine Learning and so on. It's fit to parallel computing of great capacity for liquor data. Based on MapReduce's property, we designed a computing model for option pricing with BSDEs on it. Option pricing is one of the most important parts in financial area. To promote precision of pricing,...
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