Argonne National Laboratory

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.
• 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.
• P. Balaprakash, Gomez, L. A. Bautist, Bouguerra, M. S., Wild, S. M., Cappello, F., and Hovland, P. D., “Energy-Performance Tradeoffs in Multilevel Checkpoint Strategies”, 2014.
• D. Kimpe and Ross, R. B., “Storage Models: Past, Present, and Future”, 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.
• J. Chen, “Data Structure and Algorithms for Recursively Low-Rank Compressed Matrices”, 2014.
• K. Lu, Shen, H. - W., and Peterka, T., “Scalable Computation of Stream Surfaces on Large Scale Vector Fields”, 2014.
• F. Cappello, Geist, A., Kale, S., Kramer, B., and Snir, M., “Toward Exascale Resilience: 2014 Update”, 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. Di, Gomez, L. A. Bautist, and Cappello, F., “Optimization of Multi-level Checkpoint Model with Uncertain Execution Scales”, 2014.
• T. G. Armstrong, Wozniak, J. M., Wilde, M., and Foster, I. T., “Compiler Optimization for Extreme-Scale Scripting”, 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.
• A. Ekstrom, Carlsson, B. D., Wendt, K. A., Forssen, C., Hjorth-Jensen, M., Machleidt, R., and Wild, S. M., “Statistical Uncertainties of a Chiral Interaction at Next-to-Next-To Leading Order”, 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.
• 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”, 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.
• E. M. Constantinescu, “Estimating Global Errors in Time Stepping”, 2014.
• B. F. Smith, “A New Parallel Programming Model for Computer Simulation”, Parallel Computing, 2014.
• W. Liao and Thakur, R., “MPI-IO”, 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.