Skip to main content
Reference | Publication | Mathematics and Computer Science

MCS 2014 Publications

B. Behzad, Dang, H., Hariri, F., Zhang, W., and Snir, M., “Automatic Generation of I/O Kernels for HPC Applications”, in Parallel Data Storage Workshop, 2014.

L. Liangand Chen, L., “Nonlinear Phase Field Model for Electrodeposition in Electrochemical systems”, Applied Physics Letters, vol. 105, 2014.

L. Hascoet, Schanen, M., and Utke, J., “Adjoining Basic Idioms of MPI One-Sided Communications and Efficiency Implications”, 2014.

B. Behzad, Byna, S., Wild, S. M., Prabhat, A., and Snir, M., “Improving Parallel I/O Autotuning with Performance Modeling”, in High-Performance Parallel and Distributed Computing (HPDC14), Vancouver, Canada, 2014.

S. Wu, Chen, H., Di, S., Zhou, B., Xie, Z., Jin, H., and Shi, X., “Synchronization-Aware Scheduling for Virtual Clusters in Cloud”, IEEE Trransactions on Parallel and Distributed Systems, 2014.

I. Bilionis, Drewniak, B. A., and Constantinescu, E. M., “Crop Physiology Calibration in CLM”, Geoscientific Model Development, pp. 6733-6771, 2014.

A. J. Penaand Balaji, P., “A Framework for Tracking Memory Accesses in Scientific Applications”, in 43rd International Conference on Parallel Processing Workshops, Minneapolis, MN, 2014.

W. Tang, Bischof, J., Desai, N. L., Mahadik, K., Gerlach, W., Harrison, T., Wilke, A., and Meyer, F., “Workload Characterization for MG-RAST Metagenomic Data Analytics Service in the Cloud”, Big Data (Big Data), 2014 IEEE International Conference. IEEE Xplore, 10.1109/BigData.2014.7004394, pp. 56 - 63, 2014.

W. Tang, Jenkins, J., Meyer, F., Ross, R. B., Kettimuthu, R., Winkler, L., Yang, X., Lehman, T., and Desai, N. L., “Data-Aware Resource Scheduling for Multicloud Workflows: A Fine-Grained Simulation Approach”, Cloud Computing Technology and Science (CloudCom), 2014 IEEE 6th International Conference. IEEE Xplore, Singapore, pp. 887 - 892, 2014.

J. R. Hammond, Schafer, A., and Latham, R., “To INT_MAX…and beyond! Exploring Large-Count Support in MPI”, in 2014 Workshop on Exascale MPI, 2014.

R. Jainand Tautges, T. J., “Generating Unstructured Nuclear Reactor Core Meshes in Parallel”, in 23rd International Meshing Roundtable, 2014.

J. Larson, Liang, K., and Johansson, K. H., “A Distributed Framework for Coordinated Heavy-duty Vehicle Platooning”, IEEE Transactions on Intelligent Transportation Systems, vol. 16, no. 1, pp. 419-429, 2014.

W. - K. Liaoand Thakur, R., “MPI-IO”, in High-Performance Parallel I/O, CRC Press, 2014, pp. 157-169.

M. Mubarak, Carothers, C. D., Ross, R. B., and Carns, P. H., “Using Massively Parallel Simulation for MPI Collective Communication Modeling in Extreme-Scale Networks”, in WSC'14 Proceedings of the 2014 Winter Simulation Conference, Savannah, Georgia, 2014.

X. Shi, Lin, H., Jin, H., Zhou, B. Bing, Yin, Z., Di, S., and Wu, S., “GIRAFFE: A Scalable Distributed Coordination Servicefor Large-scale Systems”, in IEEE Cluster 2014, Madrid, Spain, 2014.

K. Lu, Shen, H. - W., and Peterka, T., “Scalable Computation of Stream Surfaces on Large Scale Vector Fields”, in SC'14, New Orleans, LA, 2014.

J. C. Phillips, Stone, J. E., Vandivort, K. L., Armstrong, T. G., Wozniak, J. M., Wilde, M., and Schulten, K., “Petascale Tcl with NAMD, VMD, and Swift/T”, in HPTCDL '14, New Orleans, LA, 2014.

J. M. Wozniak, Sharma, H., Armstrong, T. G., Wilde, M., Almer, J. D., and Foster, I. T., “Big Data Staging with MPI-IO for Interactive X-ray Science”, IEEE/ACM Symposium on Big Data Computing. 2014.

K. Keaheyand Parashar, M., “Enabling On-Demand Science via Cloud Computing”, IEEE Transactions on cloud Computing, vol. 1, no. 1, pp. 21-27, 2014.

J. Huchette, Lubin, M., and Petra, C. G., “Parallel Algebraic Modeling for Stochastic Optimization”, HPTCDL '14. IEEE, New Orleans, LA, pp. 29-35, 2014.

E. Jung, Kettimuthu, R., and Vishwanath, V., “Cluster-to-Cluster Data Transfer with Data Compression over Wide-Area Networks”, Journal of Parallel and Distributed Computing, 2014.

D. A. May, Brown, J., and Le Pourhiet, L., “pTatin3D: High-Performance Methods for Long-Term Lithospheric Dynamics”, in SC'14, New Orleans, LA, 2014.

J. M. Wozniak, Wilde, M., and Foster, I. T., “Language Features for Scalable Distributed-Memory Dataflow Computing”, in Proc. Data-Flow Models for Extreme Scale Computing at PACT, 2014, Edmonton, Alberta, Canada, 2014.

P. H. Carns, “Darshan”, in High Performance Parallel I/O, CRC Press, 2014, pp. 309-315.

C. L. Phillips, Peterka, T., Karpeyev, D., and Glatz, A., “Detecting Vortices in Superconductors: Extracting One-Dimensional Topological Singularities from a Discretized Complex Scalar Field”, 2014.

J. P. Faria, Edirisinghe, J. N., Davis, J. J., Disz, T., Hausmann, A., Henry, C. S., Olson, R., Overbeek, R. A., Pusch, G. D., Shukla, M., Vonstein, V., and Wattam, A. R., “Enabling Comparative Modeling of Closely Related Genomes: Example Genus Brucella”, 3 Biotech, 2014.

W. Gerlach, Tang, W., Keegan, K., Harrison, T., Wilke, A., Bischof, J., D'Souza, M., Devoid, S., Murphy-Olson, D., Desai, N., and Meyer, F., “Skyport - Container-Based Execution Environment Management for Multi-Cloud Scientific Workflows”, in DataCloud '14, New Orleans, LA, 2014.

C. G. Petra, Schenk, O., Lubin, M., and Gaertner, K., “An Augmented Incomplete Factorization Approach for Computing the Schur Complement in Stochastic Optimization”, SIAM Journal on Scientific Comp., vol. 36, no. 2, pp. C139-C162, 2014.

C. G. Petra, Zavala, V. M., Nino-Ruiz, E. D., and Anitescu, M., “Economic Impacts of Wind Covariance Estimation on Power Grid Operations”, in FERC Technical Conference on RT and Market Efficiency through Improved Software, 2014.

W. Bland, Raffenetti, K., and Balaji, P., “Simplifying the Recovery Model of User-Level Failure Mitigation”, in EXAMPI14 - at SC'14, New Orleans, LA, 2014.

D. Ghoshand Constantinescu, E. M., “Nonlinear Compact Finite-Difference Schemes with Semi-Implicit Time Stepping”, Springer's Lecture Notes in Computational Science and Engineering (LNCSE) Series, vol. 106, no. ICOSAHOM 2014, pp. 237-245, 2014.

R. B. Gramacy, Gray, G. A., Le Digabel, S., Lee, H. K. H., Ranjan, P., Wells, G., and Wild, S. M., “Modeling an Augmented Lagrangian for Improved Blackbox Constrained Optimization”, Technometrics, vol. 58, no. 1, pp. 1-11, 2014.

J. Larsonand Wild, S. M., “A Batch, Derivative-Free Algorithm for Finding Multiple Local Minima”, Optimization and Engineering, vol. 17, no. 1, pp. 205-228, 2014.

B. F. Smith, “A New Parallel Programming Model for Computer Simulation”, 2014.

E. Larsson, Sennton, G., and Larson, J., “The Vehicle Platooning Problem: Computational Complexity and Heuristics”, 2014.

J. Chenand Chow, E., “A Stable Scaling of Newton-Schulz for Improving the Sign Function Computation of a Hermitian Matrix ”, 2014.

A. Mametjanov, Balaprakash, P., Choudary, C., Hovland, P. D., Wild, S. M., and Sabin, G., “Autotuning FPGA Design Parameters for Performance and Power”, 2014.

A. J. Pena, Reano, C., Silla, F., Mayo, R., Quintana-Orti, E. S., and Duato, J., “A Complete and Efficient CUDA-Sharing Solution for HPC Clusters”, Parallel Computing, vol. 40, no. 10, pp. 574-588, 2014.

M. Si, Pena, A. J., Hammond, J., Balaji, P., Takagi, M., and Ishikawa, Y., “Casper: An Asynchronous Progress Model for MPI RMA on Many-Core Architectures”, in 29th IEEE International Parallel & Distributed Processing Symposium, Hyderabad, India, 2014.

V. S. Mahadevan, Merzari, E., Tautges, T. J., Jain, R., Obabko, A. V., Smith, M., and Fischer, P. F., “High-Resolution Coupled Physics Solvers for Analysing Fine-Scale Nuclear Reactor Design Problems”, Philos. Trans. A Math. Phys. eng. Sci., vol. 6, no. 3, 2014.

D. Zhao, Zhang, Z., Zhou, X., Li, T., Kimpe, D., Carns, P. H., Ross, R. B., and Raicu, I., “FusionFS: Towards Supporting Data-Intensive Scientific Applications on Extreme-Scale High-Performance Computing Systems”, in 2014 IEEE international Conference on Big Data, 2014.

R. Tudoran, Keahey, K., Riteau, P., Panitkin, S., and Antoniu, G., “Evaluating Streaming Strategies for Event Processing across Infrastructure Clouds”, in CCGrid 2014, Chicago, IL, 2014.

S. M. Wild, “Solving Derivative-Free Nonlinear Least Squares Problems with POUNDERS”, 2014.

P. Balaprakash, Gomez, L. A. Bautist, Bouguerra, M. S., Wild, S. M., Cappello, F., and Hovland, P. D., “Analysis of the Tradeoffs between Energy and Run Time for Multilevel Checkpointing”, in Proceedings of the 5th International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems (PMBS14), 2014.

V. S. Mahadevan, “Coupled Physics Environment (CouPE) library - Design, Implementation, and Release”, 2014.

S. Abhyankar, Rao, V., and Anitescu, M., “Dynamic Security Constrained Optimal Power Flow Using Finite Difference Sensistivities”, in IEEE Power & Energy Society General Meeting, 2014.

T. G. Armstrong, Wozniak, J. M., Wilde, M., and Foster, I. T., “Compiler Techniques for Massively Scalable Implicit Task Parallelism”, in Supercomputing 2014, New Orleans, LA, 2014.

A. Cherchi, Carril, A. F., Menendez, C., and Zamboni, L., “La Plata Basin Precipitation Variability in Spring: Role of Remote SST Forcing as Simulated by GCM Experiments”, Climate Dynamics, vol. 42, pp. 219-236, 2014.

M. C. Burkhart, Heo, Y., and Zavala, V. M., “Measurement and Verification of Building Systems Under Uncertain Data: A Gaussian Process Modeling Approach”, Energy and Buildings, vol. 75, pp. 189-198, 2014.

D. Ghosh, Constantinescu, E. M., and Brown, J., “Scalable Nonlinear Compact Schemes”, ANL/MCS-TM-340, 2014.

P. Riteau, Hwang, M., Padmanabhan, A., Gao, Y., Liu, Y., Keahey, K., and Wang, S., “A Cloud Computing Approach to On-Demand and Scalable CyberGIS Analytics”, in 5th Workshop on Scientific Cloud Computing, Vancouver, Canada, 2014.

J. Alagarsamy, Seetharaman, R., Sivanandham, C., Krishnan, K. Chella, and Overbeek, R. A., “Connecting Sequence Data to Virulence Factors in Streptococcus Genomes”, ANL/MCS-TM-342, 2014.

T. Ilsche, Schuchart, J., Cope, J., Kimpe, D., Jones, T., Knupfer, A., Iskra, K., Ross, R. B., Nagel, W. E., and Poole, S., “Optimizing I/O Forwarding Techniques for Extreme-Scale Event Tracing”, Cluster Comput., vol. 17, pp. 1-18, 2014.

J. Zhang, Long, J., Raffenetti, K., and Balaji, P., “Implementing the MPI-3.0 Fortran 2008 Binding”, in EuroMPI/Asia, Kyoto, Japan, 2014.

R. Latham, “Parallel-NetCDF”, 2014.

J. Chen, “Data Structure and Algorithms for Recursively Low-Rank Compressed Matrices”, 2014.

R. Mak, Lerotic, M., Fleckenstein, H., Vogt, S., Wild, S. M., Leyffer, S., Sheynkin, Y., and Jacobsen, C., “Non-Negative Matrix Analysis for Effective Feature Extraction in X-Ray Spectromicroscopy”, Faraday Discussions, vol. 171, 2014.

J. Jenkins, Zou, X., Tang, H., Kimpe, D., Ross, R. B., and Samatova, N. F., “RADAR: Runtime Asymmetric Data-access Driven Scientific Data Replication”, in International Supercomputing Conference ISC'14, Leipzig, Germany, 2014.

N. Schunck, McDonnell, J. D., Sarich, J., and Wild, S. M., “Quantification of Uncertainties in Nuclear Density Functional Theory”, 2014.

J. Jenkins, Zou, X., Tang, H., Kimpe, D., Ross, R. B., and Samatova, N. F., “Parallel Data Layout Optimization of Scientific Data through Access-driven Replication”. 2014.

H. Hussain, Malik, S. U. R., Hameed, A., Khan, S. U., Bickler, G., Min-Allah, N., Qureshi, M. B., Zhang, L., Yongji, W., Ghani, N., Kolodziej, J., Zomaya, A. Y., Xu, C., Balaji, P., Vishnu, A., Pinel, F., Pecero, J. E., Kliazovich, D., Bouvry, P., Li, H., Wang, L., Chen, D., and Rayes, A., “A Survey on Resource Allocation in High Performance Distributed Computing Systems”, Parallel Computing, vol. 39, no. 11, pp. 709-736, 2014.

E. M. Constantinescu, “Estimating Global Errors in Time Stepping”, 2014.

B. Nicolae, Riteau, P., and Keahey, K., “Bursting the Cloud Data Bubble: Towards Transparent Storage Elasticity in IaaS Clouds”, in 28th IEEE International Parallel & Distributed Processing Symposium, Phoenix, AZ, 2014.

S. Abhyankar, Cui, Q., and Flueck, A. J., “Fast Power Flow Analysis using a Hybrid Current-Power Balance Formulation in Rectangular Coordinates”, in IEEE Transmission and Distribution Conference and Exposition, Chicago, IL, 2014.

S. Abhyankarand Flueck, A. J., “Multiphysics Solvers for Implicitly Coupled Electromechanical and Electromagnetic Transients Simulation”, in IEEE Transmission and Distribution Conference and Exposition , Chicago, IL , 2014.

R. Jainand Tautges, T. J., “NEAMS MeshKit: Nuclear Reactor Mesh Generation Solutions”, in 2014 International Congress on Advances in Nuclear Power Plants, Charlotte, North Carolina, 2014.

R. K. Madduri, Sulakhe, D., Lacinski, L., Liu, B., Rodriguez, A., Chard, K., Dave, U. J., and Foster, I. T., “Experiences Building Globus Genomics: A Next-Generation Sequencing Analysis Service using Galaxy, Globus, and Amazon Web Services”, Concurrency and Computation: Practice & Experience, 2014.

J. Dongarra, Hittinger, J., Bell, J., Chacon, L., Falgout, R., Heroux, M., Hovland, P. D., Ng, E., Webster, C., and Wild, S. M., “Applied Mathematics Research for Exascale Computing”, ANL-14/05, 2014.

M. Dorier, Antoniu, G., Ross, R. B., Kimpe, D., and Ibrahim, S., “CALCioM: Mitigating I/O Interference in HPC Systems through Cross-Application Coordination”, in 28th IEEE International Parallel & Distributed Processing Symposium, Phoenix, AZ, 2014.

J. R. Trammand Siegel, A. R., “Performance Analysis of a Reduced Data Movement Algorithm for Neutron Cross Section Data in Monte Carlo Simulations”, 2014.

J. R. Tramm, Siegel, A. R., Islam, T., and Schulz, M., “XSBENCH - The Development and Verification of A Performance Abstraction for Monte Carlo Reactor Analysis”, 2014.

M. Si, Pena, A. J., Balaji, P., Takagi, M., and Ishikawa, Y., “MT-MPI: Multithreaded MPI for Many-core Environments”, International Supercomputing Conference ISC'14. ACM, pp. 125-134, 2014.

S. Diand Cappello, F., “GloudSim: Google Trace Based Cloud Simulator with Virtual Machines”, 2014.

L. A. Bautist Gomez, Cappello, F., Carro, L., Debardeleben, N. A., Fang, B., Gurumurthi, S., Pattabiraman, K., Rech, R., and M. Reorda, S., “GPGPUs: How to Combine High Computational Power with High Reliability”, in 2014 Design Automation and Test in Europe Conference and Exhibition, Dresden, Germany, 2014.

S. Di, Kondo, D., and Cappello, F., “Characterizing and Modeling Cloud Applications/Jobs on a Google Data Center”, Journal of Supercomputing, vol. 69, pp. 139-160, 2014.

F. Cappello, Geist, A., Gropp, W. D., Kale, S., Kramer, B., and Snir, M., “Toward Exascale Resilience: 2014 Update”, Supercomputing Frontiers and Innovations, vol. 1, no. 1, pp. 1-28, 2014.

E. Berrocal, Bautista-Gomez, L., Di, S., Lan, Z., and Cappello, F., “Lightweight Silent Data Corruption Detection Based on Runtime Data Analysis for HPC Applications”, 2014.

H. Lu, Tan, G., Chen, M., and Sung, N., “Reducing Communication in Parallel Breadth-First Search on Distributed Memory Systems”, 2014.

T. Peterka, Morozov, D., and Phillips, C. L., “High-Performance Computation of Distributed-Memory Parallel 3D Voronoi and Delaunay Tessellation”, in SC'14, New Orleans, LA, 2014.

J. A. Zounmevo, Zhao, X., Balaji, P., Gropp, W. D., and Afsahi, A., “Nonblocking Epochs in MPI One-Sided Communication”, in SC'14, New Orleans, LA, 2014.

C. L. Phillips, Jankowski, E., Krishnatreya, B. J., Edmond, K. V., Sacanna, S., Grier, D. G., Pine, D. J., and Glotzer, S. C., “Digital Colloids: Reconfigurable Clusters as High Information Density Elements”, Soft Matter, vol. 10, pp. 7468-7479, 2014.

C. Yang, Bland, W., Mellor-Crummey, J., and Balaji, P., “Portable, MPI-Interoperable Coarray Fortran”, in PPoPP'14, 2014.

I. Bilionis, Constantinescu, E. M., and Anitescu, M., “Data-Driven Model for Solar Irradiation Based on Satellite Observations”, Solar Energy, vol. 110, pp. 22-38, 2014.

H. Jin, Wang, X., Wu, S., Di, S., and Shi, X., “Towards Optimized Fine-Grained Pricing of IaaS Cloud Platform”, IEEE Transactions on cloud Computing, 2014.

J. Brown, Knepley, M. G., and Smith, B. F., “Run-Time Extensibility and Librarization of Simulation Software”, Computing in Science and Engineering, 2014.

A. Gainaru, Bouguerra, M. S., Cappello, F., Snir, M., and Kramer, W., “Navigating the Blue Waters: Online Failure Prediction in the Petascale Era”, 2014.

A. Gainaru, Aupy, G., Benoit, A., Cappello, F., Robert, Y., and Snir, M., “Scheduling the I/O of HPC Applications Under Congestion”, 2014.

A. J. Penaand Balaji, P., “Toward the Efficient Use of Multiple Explicitly Managed Memory Subsystems”, 2014.

O. Sodeand Voth, G. A., “Electron Transfer Activation of a Second Water Channel for Proton Transport in [FeFe]-Hydrogenase ”, 2014.

C. L. Phillips, Peterka, T., Karpeev, D. A., and Glatz, A., “Visualization of the Vortex Dynamics in a Type-II Superconductor in a Periodic Dissipative State”, 2014.

T. G. Armstrong, Wozniak, J. M., Wilde, M., and Foster, I. T., “Compiler Optimization for Extreme-Scale Scripting”, Cluster, Cloud and Grid Computing (CCGrid). IEEE, Chicago, IL, pp. 571-574, 2014.

S. Di, Kondo, D., and Wang, C. - L., “Optimization of Composite Cloud Service Processing with Virtual Machines”, IEEE Transactions on Computers, 2014.

Y. Liu, Liu, Z., Zhang, S., Rong, X., Jacob, R. L., Wu, S., and Lu, F., “Ensemble-Based Parameter Estimation In A Coupled GCM Using The Adaptive Spatial Average Method”, Journal of Climate, vol. 27, no. 11, pp. 4002-4014, 2014.

S. Di, Gomez, L. A. Bautist, and Cappello, F., “Optimization of Multi-level Checkpoint Model with Uncertain Execution Scales”, 2014.

H. Dang, Brooks, A., Dryden, N., and Snir, M., “PGAS with Lightweight Threads and the Barnes-Hut Algorithm”, 2014.

E. Jung, Vishwanath, V., and Kettimuthu, R., “Distributed Multipath Routing Algorithm for Data Center Networks”, 2014.

P. Morales-Valdes, Flores-Tlacuahuac, A., and Zavala, V. M., “Analyzing the Effects of Comfort Relaxation on Energy Demand Flexibility of Buildings: A Multiobjective Optimization Approach”, 2014.

E. Jung and Kettimuthu, R., “Towards Addressing the Challenges of Data-Intensive Computing on the Cloud”, 2014.

N. Chiang and Zavala, V. M., “An Inertia-Free Filter Line-Search Algorithm for Large-Scale Nonlinear Programming”, 2014.

D. Kimpe and Ross, R. B., “Storage Models: Past, Present, and Future”, 2014.