Argonne National Laboratory

2013

• J. M. Wozniak et al., “Dataflow Coordination of Data-Parallel Tasks via MPI 3.0”, in EuroMPI'13, 2013.
• S. Leyffer and C. Kirches, “TACO - A Toolkit for AMPL Control Optimization”, Mathematical Programming Computation, pp. 1-39, 2013.
• F. Cappello, A. Bouteiller, T. Herault, and Y. Robert, “Multi-Criteria Checkpointing Strategies: Optimizing Response-Time Versus Resource Utilization”, in Europar 2013, Aachen, 2013.
• K. Rupp, P. Tillet, B. F. Smith, T. Grasser, and A. Jungel, “A Note on the GPU Acceleratoin of Eigenvalue Computations”, in ICNAAM 11th International Conference of Numerical Analysis and Applied Mathematics, Rhodes, Greece, 2013.
• E. Jung and R. Kettimuthu, “An Overview of Parallelism Exploitation and Cross-Layer Optimization for Big Data Transfers”, in 28th IEEE International Parallel & Distributed Processing Symposium, Phoenix, AZ, 2013.
• X. Zhao, P. Balaji, W. D. Gropp, and R. Thakur, “Optimization Strategies for MPI-Interoperable Active Messages”, in 13th IEEE International Conference on Scalable Computing and Communication, Chengdu, China, 2013.
• Z. Zhang, D. S. Katz, M. Wilde, J. M. Wozniak, and I. T. Foster, “MTC Envelope: Defining the Capability of Large Scale Computers in the Context of Parallel Scripting Applications”, in HPDC'13, 2013.
• O. Roderick and M. Anitescu, “Use of Multi-Fidelity Training Data in Uncertainty Analysis of Nuclear Engineering Applications”, in American Nuclear Society 2013; Atlanta, Georgia, 2013.
• R. Jain and T. J. Tautges, “PostBL: Post-Mesh Boundary Layer Mesh Generation Tool”, 22nd International Meshing Roundtable. 2013.
• C. Reano, R. Mayo, E. S. Quintana-Orti, F. Silla, J. Duato, and A. J. Pena, “Influence of infiniband FDR on the performance of remote GPU virtualization.”, IEEE Cluster 2013. 2013.
• P. Balaprakash, S. M. Wild, and P. D. Hovland, “An Experimental Study of Global and Local Search Algorithms in Empirical Performance Tuning”, in 10th International Meeting on High-Performance Computing for Computational Science (VECPAR 2012), Kobe, Japan, 2013.
• P. Balaprakash, K. Rupp, A. Mametjanov, R. B. Gramacy, P. D. Hovland, and S. M. Wild, “Empirical Performance Modeling of GPU Kernels Using Active Learning”, in International Conference on Parallel Computing - ParCo2013 , Munich, Germany , 2013.
• “Online Performance Projection for Clusters with Heterogeneous GPUs”, in 19th IEEE International Conference on Parallel and Distributed Systems, Seoul, KOR, 2013.
• S. Wallace, V. Vishwanath, S. M. Coghlan, J. R. Tramm, Z. Lan, and M. E. Papka, “Application Power Profiling on IBM Blue Gene/Q”, in Cluster Computing (CLUSTER), 2013 IEEE International Conference, Indianapolis, IN, 2013.
• J. Brown and P. Brune, “Low-Rank Quasi-Newton Updates for Robust Jacobian Lagging in Newton Methods”, 2013.
• A. Wilke et al., “A RESTful API for Accessing Microbial Community Data for MG-RAST”. 2013.
• A. Tasora, M. Anitescu, S. Negrini, and D. Negrut, “A Compliant Visco-Plastic Particle Contact Model Based on Differential Variational Inequalities”, International Journal of Non-Linear Mechanics, vol. 53, 2013.
• B. Nicolae and F. Cappello, “Al-Ckpt: Leveraging Memory Access Patterns for Adaptive Asynchronous Incremental Checkpointing”, HPDC'13. 2013.
• Z. Zhou, Z. Lan, W. Tang, and N. L. Desai, “Reducing Energy Costs for IBM Blue Gene/P via Power-Aware Job Scheduling”, in Job Scheduling Strategies for Parallel Processors Workshop (JSSPP 2013), Boston, MA, 2013.
• L. A. Bautist Gomez and F. Cappello, “Detecting Silent Data Corruption through Data Dynamic Monitoring for Scientific Applications”, in 19th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, Orlando, FL, 2013.