Search Results - "Banicescu, I."

A Framework for Statistical Analysis of Datasets on Heterogeneous Clusters by Carino, R.L., Banicescu, I.

“…This paper proposes a framework for the statistical analysis of multiple related datasets on heterogeneous clusters. The set of processors assigned to the…”
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Load balancing highly irregular computations with the adaptive factoring by Banicescu, I., Velusamy, V.

“…In heterogeneous environments, employing dynamic scheduling algorithms to improve performance of scientific applications via load balancing is essential…”
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Performance of scheduling scientific applications with adaptive weighted factoring by Banicescu, I., Velusamy, V.

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On the Scalability of Dynamic Scheduling Scientific Applications with Adaptive Weighted Factoring by Banicescu, Ioana, Velusamy, Vijay, Devaprasad, Johnny

“…In heterogeneous environments, dynamic scheduling algorithms are a powerful tool towards performance improvement of scientific applications via load balancing…”
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Quantum Trajectories with Dynamic Loop Scheduling and Reinforcement Learning by Carino, R.L., Banicescu, I., Pabico, J.P., Rashid, M.

“…The study of many problems in quantum mechanics is based on finding the solution to the time-dependent Schrodinger equation which describes the dynamics of…”
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The optimal effectiveness metric for parallel application analysis: Parallel models by LUKE, E. A, BANICESCU, I, JIN LI

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A Utility Based Power-Aware Autonomic Approach for Running Scientific Applications by Mehrotra, R., Banicescu, I., Srivastava, S.

“…Traditionally, computational power and performance of the high performance computing (HPC) systems are assumed to depend upon the number of processors and…”
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Towards the Scalability of Dynamic Loop Scheduling Techniques via Discrete Event Simulation by Balasubramaniam, M., Sukhija, N., Ciorba, F. M., Banicescu, I., Srivastava, S.

“…To improve their performance, scientific applications often use loop scheduling algorithms as techniques for load balancing data parallel computations. Over…”
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Analyzing the Robustness of Dynamic Loop Scheduling for Heterogeneous Computing Systems by Srivastava, S., Sukhija, N., Banicescu, I., Ciorba, F. M.

“…Scheduling scientific applications in parallel on non-dedicated, heterogeneous systems, where the computing resources may differ in availability, is a…”
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Experiences from integrating algorithmic and systemic load balancing strategies by Banicescu, Ioana, Ghafoor, Sheikh, Velusamy, Vijay, Russ, Samuel H., Bilderback, Mark

“…Load balancing increases the efficient use of existing resources for parallel and distributed applications. At a coarse level of granularity, advances in…”
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Parallel implementations of three scientific applications using LBmigrate by Chaube, R., Banicescu, I., Carino, R.L.

“…In this paper we focus on the implementation of large scientific applications with LB_Migrate, a dynamic load balancing library. The library employs dynamic…”
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Enhancing the Functionality of a GridSim-Based Scheduler for Effective Use with Large-Scale Scientific Applications by Srivastava, S., Banicescu, I., Ciorba, F. M., Nagel, W. E.

“…The performance of computationally intensive scientific applications on the underlying system can be maximized by providing application-level load balancing of…”
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Towards the Robustness of Dynamic Loop Scheduling on Large-Scale Heterogeneous Distributed Systems by Banicescu, I., Ciorba, F.M., Cario, R.L.

“…Dynamic loop scheduling (DLS) algorithms provide application-level load balancing of loop iterates, with the goal of maximizing application performance on the…”
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Dynamic scheduling parallel loops with variable iterate execution times by Carino, R.L., Banicescu, I.

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A Combined Dual-stage Framework for Robust Scheduling of Scientific Applications in Heterogeneous Environments with Uncertain Availability by Ciorba, F. M., Hansen, T., Srivastava, S., Banicescu, I., Maciejewski, A. A., Siegel, H. J.

“…Scheduling parallel applications on existing or emerging computing platforms is challenging, and, among other attributes, must be efficient and robust. A…”
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Investigating a Dynamic Loop Scheduling with Reinforcement Learning Approach to Load Balancing in Scientific Applications by Rashid, M., Banicescu, I., Carino, R.L.

“…The advantages of integrating reinforcement learning (RL) techniques into scientific parallel time-stepping applications have been revealed in research work…”
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Coupled thermo-hydro-mechanical modelling: A new parallel approach by Vardon, P.J., Banicescu, I., Cleall, P.J., Thomas, H.R., Philp, R.N.

“…A hybrid MPI/OpenMP method of parallelising a bi-conjugate gradient iterative solver for coupled thermo-hydro-mechanical finite-element simulations in…”
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Effectiveness of a Dynamic Load Balancing Library for Scientific Applications by Chaube, R., Carino, R.L., Banicescu, I.

“…The design of a general-purpose dynamic load balancing library for a vast variety of parallel applications is a very challenging task. The library has to…”
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A Dynamic Load Balancing Tool for One and Two Dimensional Parallel Loops by Carino, R.L., Banicescu, I.

“…This paper describes a dynamic load balancing tool intended for computational investigators who have little familiarity with programming for a message-passing…”
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Hectiling: an integration of fine and coarse-grained load-balancing strategies by Russ, S.H., Banicescu, I., Ghafoor, S., Janapareddi, B., Robinson, J., Rong Lu

“…General-purpose programmers have come to expect a high degree of portability among widely varying architectures. Advances in run-time systems for parallel…”
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