Search Results - "Thulasiram, R.K."

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  1. 1

    Grid resources pricing: A novel financial option based quality of service-profit quasi-static equilibrium model by Allenotor, D., Thulasiram, R.K.

    “…Use of grid resources has been free so far and a trend is developing to charge the users. The challenges that characterize a grid resource pricing model…”
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    Conference Proceeding
  2. 2

    PACONET: imProved  Ant Colony Optimization Routing Algorithm for Mobile Ad Hoc NETworks by Osagie, E., Thulasiraman, P., Thulasiram, R.K.

    “…Mobile ad hoc networks (MANETS) are infrastructureless network consisting of mobile nodes, with constantly changing topologies, that communicate via a wireless…”
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    Conference Proceeding
  3. 3

    Integrating a financial option based model with GridSim for pricing Grid resources by Allenotor, D., Thulasiram, R.K.

    “…Analysis of grid resources utilization from real grid trace data shows the feasibility of a financial option based model for pricing grid resources to attract…”
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    Conference Proceeding
  4. 4

    Ant Colony Optimization to price exotic options by Kumar, S., Chadha, G., Thulasiram, R.K., Thulasiraman, P.

    “…Option pricing is one of the challenging problems in finance. Finding the best time to exercise an option is a even more challenging problem, especially since…”
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    Conference Proceeding
  5. 5

    Distributed quasi-Monte Carlo algorithm for option pricing on HNOWs using mpC by Gong Chen, Thulasiraman, P., Thulasiram, R.K.

    “…Monte Carlo (MC) simulation is one of the popular approaches for approximating the value of options and other derivative securities due to the absence of…”
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    Conference Proceeding
  6. 6

    A Grid Resources Pricing Model based on Financial Options Concept by Thulasiram, R.K.

    “…Summary form only given. Grid computing has developed extensively in recent years for executing computationally resource-intensive applications. Pricing grid…”
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    Conference Proceeding
  7. 7

    Neural network training algorithms on parallel architectures for finance applications by Thulasiram, R.K., Rahman, R.M., Thulasiraman, P.

    “…We focus on the neural network training problem that could be used for price forecasting or other purposes in finance. We design and develop four different…”
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    Conference Proceeding
  8. 8

    Performance evaluation of parallel algorithms for pricing multidimensional financial derivatives by Thulasiram, R.K., Dondarenko, D.A.

    “…We develop parallel algorithms for pricing a class of multidimensional financial derivatives employing a binomial lattice approach. We describe the algorithms,…”
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    Conference Proceeding
  9. 9

    PSO based neural network for time series forecasting by Jha, G.K., Thulasiraman, P., Thulasiram, R.K.

    “…Artificial neural networks are being widely used for time series forecasting. In recent years much effort has been made for the development of particle swarm…”
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    Conference Proceeding
  10. 10

    G-FRoM: Grid Resources Pricing A Fuzzy Real Option Model by Allenotor, D., Thulasiram, R.K.

    “…Current research efforts in grid computing show that the available grid resources exist as non-storable compute cycles (grid compute commodities) and…”
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    Conference Proceeding
  11. 11

    Improving data locality in parallel fast Fourier transform algorithm for pricing financial derivatives by Barua, S., Thulasiram, R.K., Thulasiraman, P.

    “…Summary form only given. Pricing of derivatives is one of the central problems in computational finance. Since the theory of derivative pricing is highly…”
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    Conference Proceeding
  12. 12

    Parallel algorithm for pricing American Asian options with multi-dimensional assets by Huang, K., Thulasiram, R.K.

    “…In this paper, we develop parallel algorithms for pricing American-style Asian options employing binomial tree method. We describe the algorithm, explain the…”
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    Conference Proceeding
  13. 13

    Exploiting Data Locality in FFT Using Indirect Swap Network on Cell/B.E by Meilian Xu, Thulasiraman, P., Thulasiram, R.K.

    “…Communication and synchronization are two main latency issues in computing FFT on parallel architectures. Both latencies have to be either hidden or tolerated…”
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    Conference Proceeding
  14. 14

    An Aggregated Ant Colony Optimization approach for pricing options by Udayshankar, Y., Kumar, S., Jha, G.K., Thulasiram, R.K., Thulasiraman, P.

    “…Estimating the current cost of an option by predicting the underlying asset prices is the most common methodology for pricing options. Pricing options has been…”
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    Conference Proceeding
  15. 15

    A parallel ant colony optimization algorithm for all-pair routing in MANETs by Islam, M.T., Thulasiraman, P., Thulasiram, R.K.

    “…A mobile ad hoc network (MANET) consists of mobile wireless nodes that communicate in a distributed fashion without any centralized administration. The nodes…”
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    Conference Proceeding
  16. 16

    Multithreaded algorithms for pricing a class of complex options by Thulasiram, R.K., Litov, L., Nojumi, H., Downing, C.T., Gao, G.R.

    “…In this paper, we study multithreaded algorithms for pricing American Style options. We describe the algorithms, explain their relative complexities, and study…”
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    Conference Proceeding
  17. 17

    A distributed implementation of fast Fourier transform on indirect swap networks by Abraham, S., Barua, S., Thulasiraman, P., Thulasiram, R.K.

    “…Efficient data distribution is important to overcome latencies in distributed memory multiprocessors. In this paper we have studied the distributed…”
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    Conference Proceeding
  18. 18

    Performance analysis of a multithreaded pricing algorithm on Cilk by Thulasiram, R.K., Thulasiraman, P., Adiele, C., Bondarenko, D.

    “…In this paper, we develop a multithreaded algorithm for pricing simple options and implement it on a 8 node SMP machine using MIT's supercomputer programming…”
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    Conference Proceeding