PPT-Adaptive Compression to Improve I/O Performance for Climate Simulations

Swati Singhal 1 Alan Sussman The 2nd International Workshop on Data Reduction for Big Scientific Data UMIACS and Department of Computer Science D ata reduction is growing concern for scientific computing. for . Programs. Daniel Crowell, . Wenbin. Fang, and Evan . Samanas. Summary. A flexible framework for microarchitecture . adaptivity. , which separates software policies from hardware mechanism. C. ase study: adaptive cache. Efficient Buffer Management for . On-Chip Networks. Daniel U. Becker. , Nan Jiang, . George . Michelogiannakis. , William J. Dally. Stanford University. Concurrent. VLSI. Architecture. Group. ICCD 2012, 9/30/12–10/3/12, Montreal, Canada. Chris Ferro (University of Exeter). Tom . Fricker. , . Fredi. Otto, Emma Suckling. 12th International Meeting on Statistical Climatology (28 June 2013, . Jeju. , Korea). Credibility and performance. Metrics: . Exploring . Options for Banks. Lightning round presentation, UNEP FI GRT. Rosemary . Bissett. , National Australia Bank. www.2degrees-investing.org. CLIMATE . GOALS. CARBON BUDGET. ECONOMIC ROADMAPS. Chris Ferro (University of Exeter). Tom . Fricker. , . Fredi. Otto, Emma Suckling. Credibility and performance. Many factors may influence credibility judgments, but should do so if and only if they affect our expectations about the performance of the predictions.. Vinay Raj Hampapur. Wendy Ni. Stanford University. March 8, 2011. Outline. Motivation. Description of our method. Results and comparisons. Achievements. Future work. Acknowledgement. References. 2. EE398A: Direction-Adaptive KLT for Image Compression. . . 26. , . 2013. the Late NGLS:. Overview of . LinAC. Design, Beam dynamics. Outline. Guiding principles for choice of main parameters, lattice design, bunch . compression. RF vs. magnetic compression . Swati . Singhal. . 1. Alan Sussman . The 2nd International Workshop on Data Reduction for Big Scientific . Data. UMIACS and Department of Computer Science. D. ata. reduction is growing concern for scientific computing. Christoph J. Backi and Sigurd Skogestad. Department . of. Chemical Engineering. Norwegian . University. . of. Science and Technology. c. hristoph.backi@ntnu.no. 21. st. Nordic . Process. Control Workshop. . Forest Response . to Climate Change. Climate change overview. Observations. Mechanisms. Uncertainty. Scenarios and models. Perspective. Uncertainty in predictions. Climate change . and . forests. Dr. Julie Cohen. University of Virginia, Curry School of Education and Human Development. Overview. Why simulations?. The what and the how. An example study. Theory and methods. Possible implications. PI / Computational Lead. : Andy Salinger (SNL) . Deputy PI / Climate Lead. : Peter Caldwell (LLNL) . Site PIs. : . Hui. Wan (PNNL), Rob Jacob (ANL), . Salil. . Mahajan. (ORNL). . . at Class I areas based on IMPROVE data analysis and photochemical model simulations Gail Tonnesen US EPA Region 8Tom Moore WRAP/WESTARPatricia F Brewer National Park ServicePresented at the AWMAVisibi . Brett Shapiro. 25 . February . 2011. 1. G1100161. Control Loops Keep LIGO Running. Evolving seismic noise from:. weather. people. … adaptive control also makes a very good thesis topic…. 2. How are Adaptive Loops Useful?.