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Publications for: Ioana Banicescu
Book
Banicescu, I., Ciorba, F. M., & Srivastava, S. (2013). Performance Optimization of Scientific Applications Using an Autonomic Computing Approach. Scalable Computing and Communications: Theory and Practice. John Wiley and Sons. 22, 437-466.
Hummel, S. F., Banicescu, I., Wang, C., & Wein, J. (1996). Load Balancing and Data Locality via Fractiling: An Experimental Study. In B.K. Szymanski and B. Sinharoy (Eds.), Languages, Compilers and Run-Time Systems for Scalable Computers. Boston, MA: Kluwer Academic Publishers. 85-98.
Book Chapter
Sukhija, N., Morari, A., & Banicescu, I. (2016). Load Balancing and Fault Tolerance Mechanisms for Scalable and Reliable Big Data Analytics. Resource Management for Big data Platforms – Algorithms, Modelling, and High Performance Computing Techniques. Springer. 189-203.
Mehrotra, R., Banicescu, I., Srivastava, S., & Abdelwahed, S. (2015). A Power-Aware Autonomic Approach for Performance Management of Scientific Applications in a Data Center Environment. In Samee Khan, Albert Zomaya (Eds.), Handbook on Data Centers. New York: Springer. Print ISBN: 978-1-4939-2091-4, 163-189. DOI:10.1007/978-1-4939-2092-1_5. [Document Site]
Mehrotra, R., Srivastava, S., Banicescu, I., & Abdelwahed, S. (2014). An Interaction Balance Based Approach for an Autonomic Performance Management in a Cloud Computing Environment. Lecture Notes in Computer Science. -Proceedings of the Workshop on Adaptive Resource Management and Scheduling for Cloud Computing (ARMS-CC-2014), Paris, France: Springer. 8907, 52-70.
Carino, R.L., Banicescu, I., & Gao, W. (2006). Dynamic Load Balancing with MatlabMPI. In V.N. Alexandrov, et al (Eds.), Lecture Notes in Computer Science. Springer. 3992, 430-437. [Abstract] [Document Site]
Carino, R.L., Banicescu, I., Vadapalli, R., Weatherford, C., & Zhu, J. (2004). Message Passing Parallel Adaptive Quantum Trajectory Method. In L. T. Yang and Y. Pan (Eds.), High Performance Scientific and Engineering Computing. Norwell, MA: Kluwer Academic Publishers. 127-139. DOI:10.1007/978-1-4757-5402-5_9. [Abstract] [Document Site]
Peer-Reviewed Journals
Prasad, S., Banicescu, I., Barnas, M., Gimenez, D., & Lumsdaine, A. (2017). Keeping up with Technology: Teaching Parallel, Distributed and High-Performance Computing. Journal of Parallel and Distributed Computing. 105, 1-3.
Srivastava, S., & Banicescu, I. (2017). Robust Resource Allocations through Performance Modeling with Stochastic Process Algebra. Concurrency and Computation: Practice and Experience. 29(7), n/a-n/a.
Srivastava, S., & Banicescu, I. (2016). Robust Resource Allocations through Performance Modeling with Stochastic Process Algebra. Concurrency and Computation, Practice and Experience. John Wiley & Sons. SI, 1-13. DOI:10.1002/cpe.3894.
Mehrotra, R., Srivastava, S., Banicescu, I., & Abdelwahed, S. (2016). Towards an Autonomic Performance Management Approach for a Cloud Broker Environment Using a Decomposition-Coordination Based Methodology. In Peter Sloot (Ed.), Future Generation Computer Systems. Elsevier. 54, 195-205. DOI:10.1016/j.future.2015.03.020.
Sukhija, N., Malone, B., Srivastava, S., Banicescu, I., & Ciorba, F. M. (2014). A Learning-based Selection for Portfolio Scheduling of Scientific Applications on Heterogeneous Computing Systems. Journal of Parallel and Cloud Computing. 3(4), 66-81. DOI:10.14511/pcc.2014.030401#sthash.kolV4Znf.dpuf.
Banicescu, I., Lim, H., Carino, R.L., & Kim, S. (2011). A Parameter Study of a Hybrid Laplacian Mean-Curvature Flow Denoising Model. Journal of Supercomputing. 57, 339-356.
Banicescu, I., Carino, R.L., Harvill, J. L., & Lestrade, J. P. (2011). Investigating Asympotic Properties of Vector Nonlinear Time Series Models. Journal of Computational and Applied Mathematics. Elsevier. 236(3), 411-421. [Abstract] [Document] [Document Site]
Carino, R.L., Banicescu, I., Harvill, J. L., & Lestrade, J. P. (2011). Investigating Asymptotic Properties of Vector Nonlinear Time Series Models. In T. Rauber, G. Runger, L.T. Yang (Eds.), International Journal of Computational Science and Engineering. Inderscience. 236, 411-421. [Abstract]
Vardon, P. J., Cleall, P. J., Thomas, H. R., Philp, R. N., & Banicescu, I. (2011). Three-dimensional Field-scale Coupled Thermo-Hydro-Mechanical Modeling: A Parallel Computing Implementation. International Journal of Geomechanics. 11(2), 90-98.
Banicescu, I., Lim, H., Carino, R.L., & Kim, S. (2010). A Parameter Study of a Hybrid Laplacian Mean-curvature Flow Denoising Model. Journal of Supercomputing. Springer.
Banicescu, I., Lim, H., Carino, R.L., & Kim, S. (2010). Parameter Study for a Laplacian Mean-Curvature Flow Denoising Model. Journal of Supercomputing. 57(3), 339-356. [Abstract] [Document] [Document Site]
Carino, R.L., & Banicescu, I. (2008). Dynamic Load Balancing with Adaptive Factoring Methods in Scientific Applications. The Journal of Supercomputing. 44(1), 41-63.
Carino, R.L., & Banicescu, I. (2007). Dynamic Load Balancing With Adaptive Factoring Methods in Scientific Applications. In Hamid R. Arabnia (Ed.), Journal of Supercomputing. Springer. Online. [Abstract] [Document Site]
Carino, R.L., & Banicescu, I. (2007). A Tool for a Two-level Dynamic Load Balancing Strategy in Scientific Applications. In Dana Petcu (Ed.), Scalable Computing: Practice and Experience (Special Issue on Practical Aspects of Large-Scale Distributed Computing). SWPS. 8(3), 249-261. [Abstract] [Document Site]
Banicescu, I., Carino, R.L., Pabico, J. P., & Balasubramaniam, M. (2006). Performance Evaluation of a Dynamic Load-balancing Library for Cluster Computing. International Journal of Computational Science and Engineering. Inderscience Publishers. 1(2), 118-133. [Abstract] [Document Site]
Carino, R.L., & Banicescu, I. (2006). A Load Balancing Tool for Distributed Parallel Loops. Cluster Computing. Springer. 8(4), 313-321. [Abstract] [Document Site]
Carino, R.L., Banicescu, I., Vadapalli, R. K., Weatherford, C. A., & Zhu, J. (2005). Parallel Adaptive Quantum Trajectory Method for Wavepacket Simulations. Parallel Processing Letters. World Scientific Publishing Company. 15(4), 415-422. [Abstract] [Document Site]
Banicescu, I., Carino, R.L., Harvill, J. L., & Lestrade, J. P. (2005). Vector Nonlinear Time-series Analysis of Gamma-ray Burst Datasets on Heterogeneous Clusters. Scientific Programming. IOS Press. 13(2), 66-77. [Abstract] [Document Site]
Wu, D., Wu, X., Banicescu, I., & Carino, R.L. (2005). Simulation Procedure in Periodic Cancer Screening Trials. Journal of Modern Applied Statistical Methods. JMASM, Inc.. 4(2), 522-527. [Abstract] [Document Site]
Banicescu, I., & Carino, R.L. (2005). Addressing the Stochastic Nature of Scientific Computations via Dynamic Loop Scheduling. Electronic Transactions on Numerical Analysis. Kent State University. 21, 68-80. [Abstract] [Document Site]
Banicescu, I., Carino, R.L., Pabico, J. P., & Balasubramaniam, M. (2005). Design and Implementation of a Novel Dynamic Load Balancing Library for Cluster Computing. Parallel Computing . Elsevier B.V.. 31(7), 736-756. [Abstract] [Document Site]
Vadapalli, R. K., Weatherford, C. A., Banicescu, I., Carino, R.L., & Zhu, J. (2003). Transient Effect of a Free Particle Wave Packet in the Hydrodynamic Formulation of the Time-dependent Schrödinger Equation. International Journal of Quantum Chemistry. Wiley Periodicals, Inc. 94(1), 1-8. [Abstract] [Document Site]
Banicescu, I., & Velusamy, V. (2003). On the Scalability of Dynamic Scheduling Scientific Applications with Adaptive Weighted Factoring. Cluster Computing: The Journal of Networks, Software Tools, and Applications. New York, NY: Kluwer Academic Publishers. 6(3), 213-226.
Banicescu, I., Ghafoor, S., Velusamy, V., Russ, S., & Bilderback, M. (2001). Experiences from Integrating Algorithmic and Systemic Load Balancing Strategies. Concurrency and Computation: Practice and Experience. Hoboken, NJ: John Wiley and Sons, Ltd.. 13(2), 121-139.
Luke, E., & Banicescu, I. (1998). The Optimal Effectiveness Metric for Parallel Application Analysis. Information Processing Letters. New York, NY: Elsevier. 66(5), 223-229.
Brook, G., Oppenheimer, P., Weatherford, C., Banicescu, I., & Zhu, J. (). Accuracy Studies of a Parallel Algorithm for Solving the Hydrodynamic Formulation of the Time-Dependent Scroedinger Equation. Journal of Molecular Structure: THEOCHEM. Amsterdam, Netherlands: Elsevier Science. 592, 69-77.
Brook, G., Oppenheimer, P., Weatherford, C., Banicescu, I., & Zhu, J. (). Solving the Hydrodynamic Formulation of Quantum Mechanics: A Parallel MLS Method. International Journal of Quantum Chemistry. Hoboken, NJ: John WIley and Sons, Inc.. 85(11), 263-271.
Peer-Reviewed Conference Abstracts
Hoffeins, F., Ciorba, F., Banicescu, I., & Nagel, W. (2016). Verificationof Simulation via Reproducibility. EuroPar Conference (REPPAR workshop). Grenoble, FR.
Peer-Reviewed Conference Papers
Iannucci, S., Kholidy, H., Ghimire, A., Jia, R., Abdelwahed, S., & Banicescu, I. (2017). A Comparison of Graph-Based Synthetic Data Generators for Benchmarking Next-Generation Intrusion Detection Systems. Cluster Computing (CLUSTER), 2017 IEEE International Conference on. Honolulu, HI. 278-289. DOI:10.1109/CLUSTER.2017.54.
Boulmier, A., Banicescu, I., Ciorba, F. M., & Abdennadher, A. (2017). An Autonomic Approach for the Selection of Robust Dynamic Loop Scheduling Techniques. Paralled and Distributed Computing (ISPDC), 2017 16th International Symposium on. Innsbruck, Austria. 9-17. DOI:10.1109/ISPDC.2017.9.
Hoffeins, F., Ciorba, F. M., & Banicescu, I. (2017). Towards the Reproducibility of Using DLS Techniques in Scientific Applications. Parallel and Distributed Computing (ISPDC), 2017 16th International Symposium on. Innsbruck, Austria. 18-25. DOI:10.1109/ISPDC.2017.13.
Hoffeins, F., Ciorba, F. M., & Banicescu, I. (2017). Examining the Reproducibility of Using Dynamic Loop Scheduling Techniques in Scientific Applications. Parallel and Distributed Processing Symposium Workshops (IPDPSW), 2017 IEEE International. Lake Buena Vista, FL. 1579-1587.
Banicescu, I., & Srivastava, S. (2015). Towards Robust Resource Allocations via Performance Modeling with Stochastic Process Algebra. In Proceedings of the 18th IEEE International Conference on Computational Science and Engineering. Porto, Portugal.
Sukhija, N., Banicescu, I., & Ciorba, F. M. (2015). Investigating the Resilience of Dynamic Loop Scheduling in Heterogeneous Computing Systems. 2015 14th International Symposium on Parallel and Distributed Computing (ISPDC). Limassol: IEEE. 194 - 203. DOI:10.1109/ISPDC.2015.29. [Document Site]
Balasubramaniam, M., Banicescu, I., & Ciorba, F. M. (2014). Scalability Analysis and Evaluation of Divisible Load Scheduling. In Proceddings of The International Conference on Parallel Processing (ICPP-2014). Minneapolis, MN: IEEE Computer Society Press. 37-44.
Hansen, T., Ciorba, F. M., Maciejewski, A. A., Siegel, H. J., Srivastava, S., & Banicescu, I. (2014). Heuristics for Robust Al- Location of Resources to Parallel Applications with Uncertain Execution Times in Heterogeneous Systems with Uncertain Availability. In Proceedings of the World Conference on Engineering 2014. London, United Kingdom. 536-541.
Balasubramaniam, M., Banicescu, I., & Ciorba, F. M. (2014). Robustness Prediction and Evaluation of Divisible Load Scheduling on Computing Systems with Unpredictable Variations. In Proceedings of the IEEE 13th International Symposium on Parallel and Distributed Computing. Porquerolles, France: IEEE Engineering Society. 170-177.
Sukhija, N., Malone, B., Srivastava, S., Banicescu, I., & Ciorba, F. M. (2014). Portfolio-based Selection of Robust Dynamic Loop Scheduling Algorithms Using Machine Learning. In Proceedings of the IEEE International Parallel and Distributed Processing Symposium - IPDPS 2014 -(ParLearning). Phoenix, AZ.
Balasubramaniam, M., Banicescu, I., & Ciorba, F. M. (2013). Scheduling Data Parallel Workloads - A Comparative Study of Two Common Algorithmic Approaches. Proceedings of International Conference on Parallel Processing (ICPP). Lyon, France: IEEE Computer Society Press.
Sukhija, N., Banicescu, I., Srivastava, S., & Ciorba, F. M. (2013). Evaluating the Flexibility of Dynamic Loop Scheduling on Heterogeneous Systems in the Presence of Fluctuating Load Using SimGrid. Proceedings of IEEE International Parallel and Distributed Processing Symposium (IPDPS2013-PDSEC). Boston, MA: IEEE Computer Society Press.
Srivastava, S., Malone, B., Sukhija, N., Banicescu, I., & Ciorba, F. M. (2013). Predicting the Flexibility of Dynamic Loop Scheduling Using an Artificial Neural Network. Proceedings of IEEE International Symposium on Parallel and Distributed Computing (ISPDC 2013). Bucharest: IEEEE Computer Society Press.
Balasubramaniam, M., Banicescu, I., & Ciorba, F. M. (2013). Analyzing the Robustness of Scheduling Algorithms Using Divisible Load Theory on Heterogeneous Systems. Proceedings of IEEE International Symposium on Parallel and Distributed Computing (ISPDC 2013). Bucharest, Romania: IEEE Computer Society Press.
Mehrotra, R., Banicescu, I., & Srivastava, S. (2012). A Utility Based Power-Aware Autonomic Approach for Running Scientific Applications. Proceedings of the 13th IEEE/ACM International Parallel and Distributed Processing Symposium. Shanghai, China: IEEE Computer Society Press.
Balasabramaniam, M., Sukhija, N., Banicescu, I., Ciorba, F. M., & Srivastava, S. (2012). Towards the Scalability of Dynamic Loop Scheduling Techniques via Discrete Event Simulation. Proceedings of the 13th IEEE/ACM International Parallel and Distributed Processing Symposium. Shanghai, China: IEEE Computer Society Press.
Srivastava, S., Sukhija, N., Banicescu, I., & Ciorba, F. M. (2012). Analyzing the Robustness of Dynamic Loop Scheduling for Heterogeneous Computing Systems. Proceedings of the IEEE International Symposium on Parallel and Distributed Computing. Munich, Germany: IEEE Computer Society Press.
Ciorba, F. M., Hansen, T., Srivastava, S., Banicescu, I., Maciejewski, A., & Siegel, H. J. (2012). A Combined Dual-stage Framework for Robust Scheduling of Scientific Applications in Heterogeneous Environments with Uncertain Availability. Proceedings of the IEEE International Parallel and Distributed Processing Symposium. Shanghai, China: IEEE Computer Society Press.
Balasubramaniam, M., Sukhija, N., Ciorba, F. M., Banicescu, I., & Srivastava, S. (2012). Towards the Scalability of Dynamic Loop Scheduling Techniques via Discrete Event Simulation. Proceedings of the IEEE International Parallel and Distributed Processing Symposium. Shanghai, China: IEEE Computer Society Press.
Srivastava, S., Banicescu, I., Ciorba, F. M., & Wolfgang, N. (2011). Enhancing the Functionality of a GridSim-based Scheduler for Effective Use with Large-Scale Scientific Applications. IEEE International Symposium on Parallel and Distributed Computing (ISPDC2011). Cluj-Napoca, Romania: IEEE Computer Society Press.
Srivastava, S., Ciorba, F. M., & Banicescu, I. (2010). Employing a Study of the Deterministic Robustness Metrics to Assess the Reliability of Dynamic Loop Scheduling. Proceedings of the IEEE High Performance Computing Conference (HiPC 2010). Goa, India: IEEE Computer Society Press.
Srivastava, S., Banicescu, I., & Ciorba, F. M. (2010). Investigating the Robustness of Adaptive Dynamic Loop Scheduling on Heterogeneous Computing Systems. Proceedings of the IEEE International Parallel and Distributed Processing Symposium (IPDPS-PDSEC) 2010. Atlanta, GA: IEEE Computer Society Press.
Srivastava, S., Ciorba, F. M., & Banicescu, I. (2010). Employing a Study of the Deterministic Metrics to Assess the Robustness of Dynamic Loop Scheduling. Proceedings fo the IEEE High Performance Computing Symposium 2010, on CD-ROM. Goa, India: IEEE Computer Society Press.
Banicescu, I., Ciorba, F. M., & Carino, R.L. (2009). Towards the Robustness of Dynamic Loop Scheduling on Large-scale Heterogeneous Distributed Systems. In TBD (Ed.), Proceedings of the 8th International Symposium on Parallel and Distributed Computing. Lisbon, Portugal: IEEE Computer Society Press. [Abstract] [Document]
Vardon, P., Banicescu, I., Cleall, P., Thomas, H., & Philip, R. (2009). Coupled Thermo-Hydro-Mechanical Modelling: A New Parallel Approach. Proceedings of the IEEE International Parallel and Distributed Processing Symposium (IPDPS 2009). Rome, Italy: IEEE Computer Society Press.
Enright, T., Morrison, J., & Banicescu, I. (2008). WebComV - A Framework to Virtualize Parallel Computing Resources. Proceedings of the 16th International Conference on Engineering Computational Technology. Athens.
Yang, H., Du, Q., Zhu, W., Banicescu, I., & Fowler, J. E. (2008). Parallel Data Compression for Hyperspectral Imagery. Proceeding of the IEEE Geoscience and Remote Sensing Symposium. Boston, MA.
Rashid, M., Banicescu, I., & Carino, R.L. (2008). Investigating a Dynamic Loop Scheduling with Reinforcement Learning Approach to Load Balancing in Scientific Applications. Proc. 7th International Symposium on Parallel and Distributed Computing – ISPDC 2008. Krakow, Poland: IEEE Computer Society Press. 123-130. [Abstract]
Chaube, R., Carino, R.L., & Banicescu, I. (2008). Parallel Implementation of Three Scientific Applications Using LB_Migrate. Proceedings of the 9th International Parallel and Distributed Processing Symposium. Miami, FL: IEEE Computer Society Press. [Abstract]
Chaube, R., Carino, R.L., & Banicescu, I. (2007). Effectiveness of a Dynamic Load Balancing Library for Scientific Applications. Proc. 6th International Symposium on Parallel and Distributed Computing. Hagenberg, Austria: IEEE Computer Society Press. 229-235. [Abstract] [Document Site]
Carino, R.L., & Banicescu, I. (2006). A Dynamic Load Balancing Tool for One and Two Dimensional Parallel Loops. Proc. 5th International Symposium on Parallel and Distributed Computing. Timisoara, Romania: IEEE Computer Society Press. 107-114. [Abstract] [Document Site]
Carino, R.L., Banicescu, I., Lim, H., Williams, N., & Kim, S. (2006). Simulation of a Hybrid Model for Image Denoising. Proceedings of the 20th International Parallel and Distributed Processing Symposium. Rhodes Island, Greece: IEEE Computer Society Press. (On CDROM). [Abstract] [Document Site]
Banicescu, I., & Carino, R.L. (2006). Improving the Performance of Scientific Applications Involving a Large Number of Time Steps. Proceedings of SIAM Conference on Parallel Processing for Scientific Computing. San Francisco, CA.
Durbha, S. S., King, R., Younan, N. H., Shah, V. P., Shaw, D. R., & Banicescu, I. (2006). An Image Information Mining Framework for Rapid Assessment and Response in Coastal Disaster Events. Proceedings of IEEE ESA-EUSC 2006: Image Information Mining for Security and Intelligence. Madrid, Spain: IEEE Computer Society Press.
Carino, R.L., & Banicescu, I. (2005). A Framework for Statistical Analysis of Datasets on Heterogeneous Clusters. Proceedings of the 2005 IEEE International Conference on Cluster Computing. Burlington, MA: IEEE Computer Society Press. (On CDROM). [Abstract]
Carino, R.L., Banicescu, I., Pabico, J., & Rashid, M. (2005). Quantum Trajectory with Dynamic Loop Scheduling and Reinforcement Learning. IEEE International Conference on Cluster Computing. Boston, MA: IEEE Computer Society Press.
Dhandayuthapani, S., Banicescu, I., Carino, R.L., Hansen, E., Pabico, J. P., & Rashid, M. (2005). Automatic Selection of Loop Scheduling Algorithms Using Reinforcement Learning. Proceedings of the 2005 International Workshop on Challenges of Large Applications in Distributed Environments. Atlanta, GA: IEEE Computer Society Press. 87-94. [Abstract] [Document Site]
Banicescu, I., Carino, R.L., Harvill, J. L., & Lestrade, J. P. (2005). Computational Challenges in Vector Functional Coefficient Autoregressive Models. In V.S. Sunderam et al. (Eds.), Lecture Notes in Computer Science. Atlanta, GA: Springer. 3514, 237-244. [Abstract] [Document Site]
Ghafoor, S., Haupt, T., Banicescu, I., & Carino, R.L. (2005). A Resource Management System for Adaptive Parallel Applications in Cluster Environments. 6th International Conference on Linux Clusters: The HPC Revolution 2005. Chapel Hill, USA. [Abstract] [Document Site]
Banicescu, I., Carino, R.L., Harvill, J. L., & Lestrade, J. P. (2005). Simulation of Vector Nonlinear Time Series on Clusters. Proceedings of the 19th International Parallel and Distributed Processing Symposium. Denver, CO: IEEE Computer Society Press. (On CDROM). [Abstract] [Document Site]
Banicescu, I., Carino, R.L., Pabico, J. P., & Balasubramaniam, M. (2005). Overhead Analysis of a Dynamic Load Balancing Library for Cluster Computing. Proceedings of the 19th International Parallel and Distributed Processing Symposium. Denver, CO: IEEE Computer Society Press. (On CDROM). [Abstract] [Document Site]
Carino, R.L., Banicescu, I., Rauber, T., & Runger, G. (2004). Dynamic Loop Scheduling on Processor Groups. Proc. ISCA 17th International Conference on Parallel and Distributed Computing Systems. ISCA. 78-84. [Abstract]
Balasubramaniam, M., Barker, K., Banicescu, I., Chrisochoides, N., Pabico, J. P., & Carino, R.L. (2004). A Novel Dynamic Load Balancing Library for Cluster Computing. Proceedings of the 3rd International Symposium on Parallel and Distributed Computing. Cork, Ireland: IEEE Computer Society Press. 346-353. [Abstract] [Document Site]
Banicescu, I., & Carino, R. (2004). Advances in Dynamic Loop Scheduling for Scientific Applications. Proceedings of SIAM Conference on Parallel Processing for Scientific Computing. San Francisco, CA.
Carino, R.L., & Banicescu, I. (2003). A Load Balancing Tool for Distributed Parallel Loops. Proc. 2003 International Workshop on Challenges of Large Applications in Distributed Environments. Seattle, WA: IEEE Computer Society Press. 39-46. [Abstract] [Document Site]
Carino, R.L., Banicescu, I., Vadapalli, R. K., Weatherford, C. A., & Zhu, J. (2003). Parallel Adaptive Quantum Trajectory Method for Wavepacket Simulations. Proc. 17th International Parallel and Distributed Processing Symposium, 2003, CDROM. Nice, France: IEEE Computer Society Press. (On CDROM). [Abstract] [Document Site]
Carino, R.L., Banicescu, I., Vadapalli, R. K., Weatherford, C. A., Dubreus, T., & Zhu, J. (2003). Wavepacket Simulations Using the Quantum Trajectory Method with Loop Scheduling. Proc. 2003 High Performance Computing Symposium, Advanced Simulation Technologies Conference. Society for Computer Simulation International. 93-99. [Abstract]
Carino, R.L., & Banicescu, I. (2002). Load Balancing Parallel Loops on Message-passing Systems. In S.G. Akl, T. Gonzales (Eds.), Proc. 14th IASTED International Conference on Parallel and Distributed Computing and Systems. IASTED. 362-367. [Abstract]
Carino, R.L., & Banicescu, I. (2002). Dynamic Scheduling of Parallel Loops with Variable Iterate Execution Times. Proc. 16th International Parallel and Distributed Processing Symposium, 2002 CDROM. IEEE. 239-246. [Abstract] [Document Site]
Banicescu, I., & Velusamy, V. (2002). Load Balancing Highly Irregular Computations with the Adaptive Factoring. Proceedings of the IEEE-International Parallel and Distributed Processing Symposium. IEEE Computer Society Press.
Krishnan, M., Ghafoor, S., & Banicescu, I. (2002). LBsim: A Load Balancing Simulator for Data Parallel Applications. Proceedings of the High Performance Computing Symposium-The Society for Modeling and Simulation International. San Diego, CA.
Zeng, H., Devaprasad, J., Krishnan, M., Banicescu, I., & Zhu, J. (2002). Improving Load Balancing and Data Locality in N-Body Simulations via Adaptive Weighted Fractiling. Proceedings of the High Performance Computing Symposium. San Diego, CA.
Liu, Q., Bridges, S., & Banicescu, I. (2001). Parallel Genetic Algorithms for Tuning a Fuzzy Data Mining System. Proceedings of ANNIE 2001- Intelligent Engineering Systems Through Artificial Neural Networks. II, 273-278.
Banicescu, I., & Velusamy, V. (2001). Performance of Scheduling Scientific Applications with Adaptive Weighted Factoring. Proceedings of the IEEE-International Parallel and Distributed Processing Symposium. San Francisco, CA: IEEE Computer Society Press.
Banicescu, I., Velusamy, V., Soni, P., & Ghafoor, S. (2001). Effectiveness of Adaptive Weighted Factoring in Computational Field Simulation on Unstructured Grids. Proceedings of the High Performance Computing Symposium. Washington, DC. 168-177.
Ghafoor, S., Velusamy, V., Banicescu, I., & Russ, S. (2001). Migration- A Mechanism for Enhancing Performance of Parallel Applications in Network of Workstations. Proceedings of the High Performance Computing Symposium. Seattle, WA. 135-140.
Banicescu, I., & Velusamy, V. (2000). Dynamic Load Balancing with Adaptive Weighted Factoring in Computational Field Simulation Applications. Proceedings of the Twelfth International Conference on Parallel and Distributed Processing Techniques and Applications. Las Vegas, NV. 352-359.
Banicescu, I. (2000). Guiding Factoring by Means fo Reinforcement Learning: A New Approach to Load Balancing Scientific Applications. Proceedings of the Third International Workshop on Distributed Communities on the Web. Quebec City, Canada: Springer Verlag. 1-8.
Banicescu, I., & Liu, Z. (2000). Adaptive Factoring: A Dynamic Scheduling Method Tuned to the Rate of Weight Changes. Proceedings of the High Performance Computing Symposium. Washington, DC. 122-129.
Banicescu, I., & Bilderback, M. (1999). Performance Evaluation of the Parallel Fast Multipole Algorithm Using the Optimal Effectiveness Metric. Proceedings of the High Performance Computing Symposium. San Diego, CA. 206-210.
Banicescu, I., Russ, S., Bilderback, M., & Ghafoor, S. (1999). Competitive Resource Management in Distributed Computing Environments with Hectiling. Proceedings of the High Performance Computing Symposium. San Diego, CA. 337-343.
Banicescu, I., & Unger, H. (1999). Running Scientific Computations in a Web Operating System Environment. Proceedings of the High Performance Computing Symposium. San Diego, CA. 356-362.
Dearholt, D., Kudikyala, U. K., Banicescu, I., & Bilderback, M. (1999). Providing the Web Operating System with an Effective Search Method for Sharing Available Resources. Proceedings of the Workshop on Distributed Computing on the Web. Germany. 121-128.
Russ, S., Banicescu, I., Ghafoor, S., Janapareddi, B., Robinson, J., & Lu, R. (1998). Hectiling: An Integration of Fine and Coarse-Grained Load Balancing Strategies. Proceedings of the 7th International Symposium on High Performance Distributed Computing. Chicago, IL. 106-113.
Banicescu, I., & Lu, R. (1998). Competitive Parallelization of the Fast Multipole Algorithm in Distributed Memory Architectures. Proceedings of the 4th SIAM Congress. Italy. 72-75.
Banicescu, I., & Lu, R. (1998). Experiences with Fractiling in N-Body Simulations. Proceedings of High Performance Computing Symposium. Boston, MA. 121-126.
Banicescu, I., Ghafoor, S., & Bilderback, M. (1998). Efficient Resource Management for Scientific Applications in Distributed Computing Environment. Proceedings of the Workshop on Distributed Computing on the Web. Germany. 45-54.
Banicescu, I., & Hummel, S. F. (1995). Balancing Processor Loads and Exploiting Data Locality in N-Body Simulations. Proceedings of Supercomputing \'95 Conference. San Diego, CA: IEEE Computer Society.
Banicescu, I., Hummel, S. F., Wang, C. T., & Wein, J. (1995). On the Scalability of Dynamic Scheduling. Proceedings of the Third Workshop on Languages, Compilers, and Run-Time Systems for Scalable Parallel Computers. unknown.
Peer-Reviewed Conference Posters
Sukhija, N., Morari, A., & Banicescu, I. (2015). Performance Optimization of Big Data Analytics. XSEDE15, ACM Conference of the Extreme Science and Engineering Discovery Environment. St. Louis, MO. [Document Site]
Sukhija, N., Srivastava, S., Ciorba, F. M., Banicescu, I., & Malone, B. (2014). Employing Machine Learning for the Selection of Robust Algorithms for the Dynamic Scheduling of Scientific Applications. ACM Research Poster Session of the Supercomputing conference (SC14) - the International Conference for High Performance Computing, Networking, Storage and Analysis. New Orleans, LA. [Document Site]
Srivastava, S., Mehrotra, R., Banicescu, I., & Abdelwahed, S. (2012). A Model-based Framework for Autonomic Performance Management of Cloud Computing Systems. 15th SIAM Conference on Parallel Processing for Scientific Computing. Savannah, GA.
Srivastava, S., Banicescu, I., & Ciorba, F. M. (2010). Optimizing the Performance and Robustness of Dynamic Scheduling for Scientific Applications with Large Numbers of Timesteps. ACM Research Poster Session of the Supercomputing conference (SC10) - the International Conference for High Performance Computing, Networking, Storage and Analysis. New Orleans, LA.
Velusamy, V., & Banicescu, I. (2000). Efficient Data management for Load Balancing Scientific Applications in Distributed Computing Environment with Factoring Methods. Proceedings of the Twelfth International Conference on Parallel and Distributed Processing Techniques and Applications. Las Vegas, NV. 4, 1381-1388.
Luke, E., Banicescu, I., & Li, J. (1997). A Metric for Parallel Poly-Algorithm Design. Symposium on Parallel Algorithms and Architectures.
Chaube, R., Banicescu, I., & Carino, R.L. (). LB_Migrate: A Load Balancing Library. IEEE 12th International Conference on High Performance Computing. Goa, India.
Technical Report
Ciorba, F. M., Carino, R.L., & Banicescu, I. (2009). Towards the Robustness of High-performance Execution of Multiscale Numerical Simulation Codes Hosted by the Cyberinfrastructure of CAVS @ MSU. MSU.CAVS.CMD.2009-R0008. Mississippi State University: CAVS. [Abstract] [Document]
Bilderback, M., Soni, P., & Banicescu, I. (1998). Performance Evaluation of Graph Partitioning Algorithms in Chaco, Version 2.0. Technical Report #MSSU-COE-ERC-98-14. Mississippi State University: Engineering Research Center.
Bilderback, M., Soni, P., & Banicescu, I. (1998). Performance Evaluation of Graph Partitioning Algorithms in ParMETIS, Version 1.0. Technical Report #MSSU-COE-ERC-98-15. Mississippi State University: Engineering Research Center.
Bilderback, M., Soni, P., & Banicescu, I. (1998). Performance Evaluation of Graph Partitioning Algorithms in Party, Version 1.1. Technical Report #MSSU-COE-ERC-98-16. Mississippi State University: Engineering Research Center.
Banicescu, I. (1997). A Study of Parallel Algorithms for Unstructured and Dynamically Varying Problems. Technical Report #MSSU-EIRS-ERC-97-6. Mississippi State University: Engineering Research Center.
Luke, E., Banicescu, I., & Li, J. (1997). The Optimal Effectiveness Metric for Parallel Application Analysis. Mississippi State University: Engineering Research Center.
Banicescu, I., & Hummel, S. F. (1995). Balancing Processor Loads and Exploiting Data Locality in Irregular Computations. IBM Research Report RC19934. unknown: IBM Research. [Document Site]
Professional Presentations
Banicescu, I. (2013). Towards a Technology for Robust and Cost Effective Autonomic Execution of Scientific Applications. Computer Science Department and the Center for High Performance Computing at the Technical University. Dresden, Germany.
Banicescu, I. (2013). Towards a Technology for Robust and Cost-Effective Autonomic Execution of Scientific Applications. University of Politechnica of Bucharest, Department of Computer Science. Bucharest, Romania.
Banicescu, I. (2011). Advances Towards a Technology for Robust and Cost-Effective Autonomic Execution of Scientific Applications. IEEE 15th International Conference on System Theory, Control and Computing. Sinaia, Romania.
Banicescu, I. (2007). Advances in Performance Optimization for Problems in Computational Science. Research Institute of Symbolic Computation, part of Johannes Kepler University. Linz, Austria.
Thesis and Dissertation
Banicescu, I. (1996). Load Balancing and Data Locality in the Parallelization of the Fast Multipole Algorithm. New York, NY: New York University-Polytechnic Institute.