Argonne National Laboratory

2013

• A. Tasora, Anitescu, M., Negrini, S., and Negrut, D., “A Compliant Visco-Plastic Particle Contact Model Based on Differential Variational Inequalities”, International Journal of Non-Linear Mechanics, vol. 53, 2013.
• X. Zhao, Balaji, P., Gropp, W. D., and Thakur, R., “Optimization Strategies for MPI-Interoperable Active Messages”, in 13th IEEE International Conference on Scalable Computing and Communication, Chengdu, China, 2013.
• L. A. Bautist Gomez and Cappello, F., “Improving Floating Point Compression through Binary Masks”, in IEEE BigData 2013, Santa Barbara, California, 2013.
• J. M. Wozniak, Armstrong, T. G., Krieder, S. J., Maheshwari, K., Wilde, M., and Foster, I. T., “Mega Python: Scalable Interlanguage Scripting for Scientific Computing”, in SC 13, Denver, CO, 2013.
• S. Devoid and Desai, N. L., “Poncho: Enabling Smart Administration of Full Private Clouds”, in 27th Large Installation System Administraction Conference, Washington, D.C., 2013.
• T. G. Armstrong, Wozniak, J. M., Wilde, M., and Foster, I. T., “Compiler Optimization for Distributed Dynamic Data Flow Programs”, 2013.
• M. Snir, Wisniewski, R. W., Abraham, J. A., Adve, S. V., Bagchi, S., Balaji, P., Belak, J., Bose, P., Cappello, F., Carlson, B., Chien, A. A., Coteus, P., Debardeleben, N. A., Diniz, P., Engelmann, C., Erez, M., Fazzari, S., Geist, A., Gupta, R., Johnson, F., Krishnamoorthy, S., Leyffer, S., Liberty, D., Mitra, S., Munson, T. S., Schreiber, R., Stearley, J., and Hensbergen, E. V., “Addressing Failures in Exascale Computing”, 2013.
• “MPI on Millions of Cores”, 2013.
• L. Wolf and Pieper, G. W., “Biology at the Exascale”, SciDAC Rev. , vol. 16, no. Spec. ed., pp. 32 - 39, 2013.
• A. Wilke, Glass, E. M., Bartels, D., Bischof, J., Braithwaite, D., D'Souza, M., Gerlach, W., Harrison, T., Keegan, K. P., Matthews, H., Kottmann, R., Paczian, T., Tang, W., Trimble, W. L., Yilmaz, P., Wilkening, J., Desai, N. L., and Meyer, F., “A Metagenomics Portal for a Democratized Sequencing World”, Methods enzymol., vol. 531, pp. 487-523, 2013.
• M. G. Knepley, Brown, J., Rupp, K., and Smith, B. F., “Achieving High Performance with Unified Residual Evaluation”, 2013.
• E. M. Constantinescu and Sandu, A., “Extrapolated Multirate Methods for Differential Equations with Multiple Time Scales”, Journal on Scientific Computing, vol. 56, no. 1, pp. 28-44, 2013.
• M. L. Stein, Chen, J., and Anitescu, M., “Stochastic Approximation of Score Functions for Gaussian Processes”, Annals of Applied Statistics, vol. 7, no. 2, pp. 1162-1191, 2013.
• E. M. Constantinescu and Anitescu, M., “Physics-Based Covariance Models for Gaussian Processes with Multiple Outputs”, International Journal for Uncertainty Quantification, vol. 3, no. 1, 2013.
• K. G. Felker, Siegel, A. R., Smith, K., Romano, P. K., and Forget, B., “The Energy Band Memory Server Algorithm for Parallel Monte Carlo Transport Calculations”, in Joint International Conference on Supercomputing in Nuclear Applications and Monte Carlo, Paris, France, 2013.
• P. Balaprakash, Buntinas, D., Chan, A., Guha, A., Gupta, R., Narayanan, S. H. K., Chien, A. A., Hovland, P. D., and Norris, B., “Exascale Workload Characterization and Architecture Implications”, in 21st High Performance Computing Synposium, San Diego, 2013.
• A. Vishnu, Song, S., Marquez, A., Barker, K., Kerbyson, D., Cameron, K., and Balaji, P., “Designing Energy Efficient Communication Runtime Systems: A View From PGAS Models”, 2013.
• K. Hatz, Leyffer, S., Schloder, J. P., and Bock, H. G., “Regularizing Bilevel Nonlinear Programs by Lifting”, SIAM Journal on Optimization, 2013.
• Z. Zhang, Katz, D. S., Armstrong, T. G., Wozniak, J. M., and Foster, I. T., “Parallelizing the Execution of Sequential Scripts”, in Super Computing (SC13), Denver, CO, 2013.
• J. Jenkins, Dinan, J., Balaji, P., Peterka, T., Samatova, N. F., and Thakur, R., “Processing MPI Derived Datatypes on Noncontiguous GPU-Resident Data”, IEEE Transactions on Parallel and Distributed Systems, 2013.