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Creators/Authors contains: "Ahmed, K."

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  1. ; ; ; ; ( , AIAA Aviation Forum)
    Free, publicly-accessible full text available June 20, 2023
  2. ; ; ( , Proceedings of the Winter Simulation Conference)
    Kim, S. ; Feng, B. ; Smith, K. ; Masoud, S. ; Zheng, Z. ; Szabo, C. ; Loper, M. (Ed.)
    High performance computing (HPC) system runs compute-intensive parallel applications requiring large number of nodes. An HPC system consists of heterogeneous computer architecture nodes, including CPUs, GPUs, field programmable gate arrays (FPGAs), etc. Power capping is a method to improve parallel application performance subject to variable power constraints. In this paper, we propose a parallel application power and performance prediction simulator. We present prediction model to predict application power and performance for unknown power-capping values considering heterogeneous computing architecture. We develop a job scheduling simulator based on parallel discrete-event simulation engine. The simulator includes a power and performance prediction model, as well as a resource allocation model. Based on real-life measurements and trace data, we show the applicability of our proposed prediction model and simulator.
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  3. ; ; ; ( , Proceedings of the 38th Conference on Uncertainty in Artificial Intelligence (UAI))
    Accepted Manuscript Full Text Available
  4. ; ; ; ; ; ; ; ; ( , Proceedings of the 36th AAAI Conference on Artificial Intelligence (Demo Track))
    Accepted Manuscript Full Text Available
  5. ; ; ; ; ; ; ; ( , The American Journal of Medicine)
    Full Text Available 
  6. ; ; ; ; ( , ACM SIGMOD Workshop on Human-In-the-Loop Data Analytics (HILDA’19))
    Accepted Manuscript Full Text Available
  7. ; ; ; ( , Physics of Fluids)
    Full Text Available 
  8. ; ; ; ; ; ; ; ; ; ; et al ( , Genetics in Medicine)
    Free, publicly-accessible full text available May 1, 2023
  9. ; ( , Physical Review B)
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  10. ; ( , Fortschritte der Physik)
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