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Reference | Publication | Mathematics and Computer Science Division

MCS 2017 Publications

H. Guo, Peterka, T., and Glatz, A., “In Situ Magnetic Flux Vortex Visualization in Time-Dependent Ginzburg-Landau Superconductor Simulations”, in IEEE PacificVis 2017, Seoul, Korea, 2017.

M. Menickellyand Wild, S. M., “Derivative-Free Robust Optimization By Outer Approximations”, 2017.

M. Hahn, Leyffer, S., and Zavala, V. M., “Mixed-Integer PDE-Constrained Optimal Control of Gas Networks”, 2017.

H. Dang, Seo, S., Amer, A., and Balaji, P., “Advanced Thread Synchronization for Multithreaded MPI Implementations”, in 17th IEEE/ACM International Symposium on Cloud and Grid Computing (CCGrid 2017), 2017.

M. Mubarak, Carns, P. H., Jenkins, J., and Li, J. K., “Quantifying I/O and Communication Traffic Interference on Dragonfly Networks Equipped with Burst Buffers”, in IEEE Cluster 2017, Hawaii, 2017.

M. Mubarakand Ross, R. B., “Validation Study of CODES Dragonfly Network Model with Theta Cray XC System”, Argonne National Laboratory, ANL-MCS-TM-369, 2017.

J. Zhang, Guo, H., Yuan, X., Hong, F., and Peterka, T., “Dynamic Load Balancing Based on Constrained K-D Tree Decomposition for Parallel Particle Tracing”, IEEE Transactions on Visualization and Computer Graphics, 2017.

M. Mubarak, Ding, P., Aliaga, L., Tsaris, A., Norman, A., Lyon, A., and Ross, R., “SciDAC-Data: Enabling Data Driven Modeling of Exascale Computing”, 2017.

D. Maldonado, Abhyankar, S., Smith, B. F., and Zhang, H., “Scalable Multiphysics Network Simulation Using PETSc DMNetwork”, 2017.

S. Perarnau, Zounmevo, J. A., Dreher, M., and Van Essen, B., “Argo NodeOS: Toward Unified Resource Management for Exascale”, in International Parallel and Distributed Processing Symposium (IPDPS), 2017.

P. K. Romano, Lund, A. L., and Siegel, A. R., “Optimal Run Strategies in Monte Carlo Iterated Fission Source Simulations”, Nuclear Science and Engineering, vol. 188, pp. 1-14, 2017.

A. P. Austinand Trefethen, L. N., “Trigonometric Interpolation and Quadrature in Perturbed Points”, Numerical Analysis, vol. 55, no. 5, pp. 2113-2122, 2017.

T. Gao, Guo, Y., Wei, Y., Wang, B., Lu, Y., Cicotti, P., Balaji, P., and Taufer, M., “Bloomfish: A Highly Scalable Distributed K-mer Counting Framework”, in ICPADS IEEE International Conference on Parallel and Distributed Systems, Shenzhen, China, 2017.

R. Latham, Bautista-Gomez, L., and Balaji, P., “Portable Topology-Aware MPI-I/O”, in ICPADS IEEE International Conference on Parallel and Distributed Systems, 2017.

S. Pumma, Si, M., Feng, W., and Balaji, P., “Parallel I/O Optimization for Scalable Deep Learning”, in ICPADS IEEE International Conference on Parallel and Distributed Systems, 2017.

C. A. L. Haleyand Anitescu, M., “Optimal Bandwidth for Multitaper Spectrum Estimation”, IEEE Signal Processing Letters, no. 11, pp. 1696-1700, 2017.

O. Subasi, Di, S., Balaprakash, P., Unsal, O., Labarta, J., Cristal, A., Krishnamoorthy, S., and Cappello, F., “MACORD: Online Adaptive Machine Learning Framework for Silent Error Detection”, in Cluster Computing (CLUSTER) 2017, Honolulu, HI, 2017.

P. K. Romanoand Siegel, A. R., “Limits on the Efficiency of Event-Based Algorithms for Monte Carlo Neutron Transport”, Nuclear Engineeering and Technology, vol. 49, no. 6, pp. 1165-1171, 2017.

M. Hereldand Kim, K., “Disaster = Infrastructure + Hazard”, in Resilience Week (RWS) 2017, 2017.

S. Madireddy, Balaprakash, P., Carns, P. H., Latham, R., Ross, R., Snyder, S., and Wild, S. M., “Analysis and Correlation of Application I/O Performance and System-Wide I/O Activity”, in 2017 International Conference on Networking, Architecture, and Storage (NAS), Shenzhen, China, 2017.

N. Neveu, Larson, J., Power, J. G., and Spentzouris, L., “Photoinjector Optimization Using a Derivative-Free, Model-Based Trust-Region Algorithm for the Argonne Wakefield Accelerator”, in International Particle Accelerator Conference (IPAC'17), Copenhagen, Denmark, 2017.

P. Ding, Aliaga, L., Mubarak, M., Tsaris, A., Norman, A., Lyon, A., and Ross, R., “Analyzing How We Do Analysis and Consume Data, Results from the SciDAC-Data Project”, Journal of Physics: Conference Series, vol. 898, no. Track 7: Middleware, Monitoring and Accounting, 2017.

J. K. Li, Mubarak, M., Ross, R. B., Carthers, C. D., and Ma, K. - L., “Visual Analytics Techniques for Exploring the Design Space of Large-Scale High-Radix Networks”, in Cluster Computing (CLUSTER) 2017, Honolulu, HI, 2017.

K. Khan, Larson, J., and Wild, S. M., “Manifold Sampling for Optimization of Nonconvex Functions That Are Piecewise Linear Compositions of Smooth Components”, 2017.

Z. Di, Chen, S., Hong, Y., Jacobsen, C., Leyffer, S., and Wild, S. M., “Joint Reconstruction of X-Ray Fluorescence and Transmission Tomography”, Optics Express, vol. 25, no. 12, pp. 13107-13124, 2017.

V. M. Zavala, Kim, K., Anitescu, M., and Birge, J., “A Stochastic Electricity Market Clearing Formulation with Consistent Pricing Properties”, Operations Research, vol. 65, no. 3, pp. 557-576, 2017.

C. D. Carothers, Vetter, J., Meredith, J. S., Mubarak, M., Moore, S., Blanco, M. P., and LaPre, J., “Durango: Scalable Synthetic Workload Generation for Extreme-Scale Application Performance Modeling and Simulation”, in SIGSIM-PADS '17, Singapore, 2017.

F. Luo, Larson, J., and Munson, T., “Coordinated Platooning with Multiple Speeds”, 2017.

M. R. Norman, Mametjanov, A., and Taylor, M., “Exascale Programming Approaches for the Accelerated Model for Climate and Energy”, 2017.

K. Kulshreshtha, Narayanan, S. H. K., Bessac, J., and MacIntyre, K., “Efficient Computation of Derivatives for Solving Optimization Problems in R and Python using SWIG-Generated Interfaces to ADOL-C”, 2017.

A. Waltherand Narayanan, S. H. K., “Extending the Binomial Checkpointing Technique for Resilience”, 2017.

K. Xu, Austin, A. P., and Wei, K., “A Fast Algorithm for the Convolution of Functions with Compact Support Using Fourier Extensions”, 2017.

K. Kim, “An Optimization Approach for Identifying and Prioritizing Critical Components in a Power System”, 2017.

K. Kim, Botterud, A., and Qiu, F., “Temporal Decomposition for Improved Unit Commitment in Power System Production Cost Modeling”, 2017.

M. Siand Balaji, P., “Process-Based Asynchronous Progress Model for MPI Point-to-Point Communication”, 2017.

M. Mubarak, Jain, N., Domke, J., Wolfe, N., Ross, C., Li, K., Bhatele, A., Carothers, C. D., Ma, K. - L., and Ross, R. B., “Toward Reliable Validation of HPC Network Simulation Models”, 2017.

S. Pumma, Si, M., Feng, W., and Balaji, P., “Towards Scalable Deep Learning via I/O Analysis and Optimization”, 2017.

V. Makarashvili, Merzari, E., Obabko, A. V., Fischer, P., and Siegel, A., “Accelerating The High-Fidelity Simulation of Turbulance: Ensemble Averaging”, in ASME 2016 Fluids Engineering Division Summer Meeting, 2017.

D. Verner, Kim, K., and Petit, F., “Incorporating Prioritization In Critical Infrastructure Security and Resilience Programs”, in 10th Anniversary Homeland Defense/ Security Education Summit, Arlington, VA, 2017.

E. Deelman, Peterka, T., Altintas, I., Carothers, C. D., Dam, K. K. V., Moreland, K., Parashar, M., Ramakrishnan, L., Taufer, M., and Vetter, J., “The Future of Scientific Workflows”, The International Journal of High Performance Computing Applications, p. 1094342017704893, 2017.

J. P. Navarro, Knepper, R., Liming, L., Dahan, M., Lifka, D., and Stewart, C. A., “The Community Software Repository from XSEDE”, in PEARC17: Proceedings of the Practice and Experience in Advanced Research Computing 2017 on Sustainability, Success and Impact08/2017, New Orleans, 2017.