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The license management is one of the main concerns when Independent Software Vendors (ISV) try to distribute their software in computing platforms such as Clouds. They want to be sure that customers use their software according to their license terms. The work presented in this paper tries to solve part of this problem extending a semantic resource allocation approach for supporting the scheduling...
Meeting users' deadline constraint is usually the most important goal of workflow scheduling in Grid environment. In order to consider the dynamism of Grid resource, we adopted a stochastic model to describe dynamic workloads of Grid resources. A concept called Deadline Satisfaction Degree of Workflow (DSDW) was defined to represent the probability that a workflow could be completed before its deadline...
We focus on agent-based simulations where a large number of agents move in the space, obeying to some simple rules. Since such kind of simulations are computational intensive, it is challenging, for such a contest, to let the number of agents to grow and to increase the quality of the simulation. A fascinating way to answer to this need is by exploiting parallel architectures. In this paper, we present...
This paper proposes a parallelization of the Adaboost algorithm through hybrid usage of MPI, OpenMP, and transactional memory. After detailed analysis of the Adaboost algorithm, we show that multiple levels of parallelism exists in the algorithm. We develop the lower level of parallelism through OpenMP and higher level parallelism through MPI. Software transactional memory are used to facilitate the...
The chemical task in internal combustion engine simulations concerns with the solution of a non-linear stiff system of Ordinary Differential Equations (ODEs) per each cell of a discretization grid representing engine geometry. The computational cost of the above task, when a detailed kinetic scheme is used, is dominating in engine simulations. Due to local physical-chemical conditions, each system...
Branch and Bound (B&B) algorithms are highly parallelizable but they are irregular and dynamic load balancing techniques have been used to avoid idle processors. In previous work, authors use a dynamic number of threads at run time, which depends on the measured performance of the application for just one interval B&B algorithm running on the system. In this way, load balancing is achieved...
As the computation cost increases to meet the design requirements for computation-intensive applications on today's systems, the pressure to develop high performance parallel processors on a chip will increase. Network-on-Chip (NoC) techniques that interconnect multiple processing elements with routers are the solution for reducing computation time and power consumption by parallel processing on a...
Energy-efficiency is becoming one of the most critical issues in embedded system design. In Network-on-Chip (NoC) based heterogeneous Multiprocessor Systems, the energy consumption is influenced dramatically by task allocation schemes. Although various approaches are proposed to allocate tasks in an energy-efficient way, existing work does not well explore the tradeoff between the two major power...
Processor allocation in todays many core MPSoCs is a challenging task, especially since the order and requirements of incoming applications are unknown during design stage. To improve network performance, balance the workload across processing cores, or mitigate the effect of hot processing elements in thermal management methodologies, task migration is a method which has attracted much attention...
Virtualization technologies radically changed the way in which distributed architectures are exploited. With the contribution of VM capabilities and with the emergence of IaaS platforms, more and more frameworks tend to manage VMs across distributed architectures like operating systems handle processes on a single node. Taking into account that most of these frameworks follow a centralized model --...
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