Journal of Telecommunications and Information Technology, 2011, nr 3

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A DAQM-Based Load Balancing Scheme for High Performance Computing Platforms

This paper addresses the load balancing problem, which is one of the key issues in high-performance computing (HPC) platforms. A novel method, called decentralized active queue management (DAQM), is proposed to provide a fair task distribution in a heterogeneous computing environment for HPC platforms. An implementation of the DAQM is presented, which consists of an ON-OFF queue control and a utility maximization-based coordination scheme. The stability of the queue control scheme and the convergence of the algorithm for utility maximization have been assessed by rigorous analysis. To demonstrate the performance of the developed queueing control system, numerical simulations are carried out and the obtained results confirm the efficiency and viability of the developed scheme

Portuguese SKA white book

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Methodological Framework for NoC Resources Dimensioning on FPGAs

International audienceThe two main challenges involved in prototyping a SoC (System-On-Chip) on a FPGA (field programmable gate array) are optimal tuning of the communication architecture according to the task graph of an application, and dimensioning the FPGA resources. In this paper, we present a methodological framework to estimate the number of resources required for a given communication architecture and task graph. Data analysis was based on a set of synthesized results for a given on-chip network. The most appropriate models were identified using a data mining approach. The evaluation of the models shows that the relative error is less than 5% in most cases. It is therefore possible to estimate the required resources in a short exploration time, without the synthesis steps