Anirudh Jayakumar

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Performance predictions for large problem sizes and processors using limited small scale runs are useful for a variety of purposes including scalability projections, and help in minimizing the time taken for constructing training data for building performance models. In this paper, we present a prediction framework that matches execution signatures for(More)
The proposed algorithm prolongs the scheduler from scheduling the Real Time (RT) and Non Real Time (NRT) services based upon their priority required on Quality of Service (QoS). The proposed Cross QoS Scheduling Algorithm (XQSA) is capable of scheduling data, video and voice services over the same wireless channel. The complimentary advantages of both RT(More)
In this paper an efficient algorithm is presented for the estimation of a channel modelled as sparse for an OFDM system. Conventional Pilot-Based techniques and blind estimation techniques require a large number of pilot tones and complex mathematical computations respectively to estimate the channel vector. This drawback is particularly pronounced in(More)
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