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.
• K. Kim, “An Optimization Approach for Identifying and Prioritizing Critical Components in a Power System”, 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.
• F. Luo, Larson, J., and Munson, T., “Coordinated Platooning with Multiple Speeds”, 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.
• M. Hahn, Leyffer, S., and Zavala, V. M., “Mixed-Integer PDE-Constrained Optimal Control of Gas Networks”, 2017.
• K. Xu, Austin, A. P., and Wei, K., “A Fast Algorithm for the Convolution of Functions with Compact Support Using Fourier Extensions”, 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.
• 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.
• 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.
• 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.
• 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. Si and Balaji, P., “Process-Based Asynchronous Progress Model for MPI Point-to-Point Communication”, 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.
• 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.
• M. Mubarak and Ross, R. B., “Validation Study of CODES Dragonfly Network Model with Theta Cray XC System”, Argonne National Laboratory, ANL-MCS-TM-369, 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.
• A. Walther and Narayanan, S. H. K., “Extending the Binomial Checkpointing Technique for Resilience”, 2017.
• K. Kim, Botterud, A., and Qiu, F., “Temporal Decomposition for Improved Unit Commitment in Power System Production Cost Modeling”, 2017.
• M. Menickelly and Wild, S. M., “Derivative-Free Robust Optimization By Outer Approximations”, 2017.