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. Road. . Networks. Renchu . Song, . . Weiwei . Sun, . . Fudan. University. Baihua Zheng, Singapore Management University. . Yu . Zheng, . Microsoft Research, . Beijing. Background. Big Data. Huge volume of spatial trajectories cause heavy burden to data storage and data process. Introduction. Compression is the reduction in size of data in order to save space or transmission time. . Compression is the process of reducing the size of a file by encoding its data information more efficiently . Annie . Yang and Martin Burtscher*. Department of Computer Science. Highlights. MPC compression algorithm. Brand-new . lossless . compression algorithm for single- and double-precision floating-point data. at 75 Gb/s on a GPU. Molly A. O’Neil and Martin Burtscher. Department of Computer Science. Introduction. Scientific simulations on HPC clusters. Run on interconnected compute nodes. P. roduce . and transfer lots of . Shuochao Yao, Yiwen Xu, Daniel Calzada. Network Compression and Speedup. 1. Source: . http://isca2016.eecs.umich.edu/. wp. -content/uploads/2016/07/4A-1.pdf. Network Compression and Speedup. 2. Why smaller models?. Review. A . truss is considered to be a solid beam full of holes. A truss and beam behave similarly under the same live load.. The point of a truss is to disperse forces as far from the neutral axis as possible in order to resist deflection.. 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. Climatology. is . the study of Earth’s climate and the factors that affect past, present, and future climatic changes.. Climate describes annual variations of temperature, precipitation, wind, and other weather factors.. 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 . . SYFTET. Göteborgs universitet ska skapa en modern, lättanvänd och . effektiv webbmiljö med fokus på användarnas förväntningar.. 1. ETT UNIVERSITET – EN GEMENSAM WEBB. Innehåll som är intressant för de prioriterade målgrupperna samlas på ett ställe till exempel:. Gennady Pekhimenko. § . Vivek Seshadri. §. Onur Mutlu. . §. . Michael A. Kozuch. †. Phillip B. Gibbons. † . Todd C. Mowry. . §. § . Carnegie Mellon University . † . Intel Labs Pittsburgh. . 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?. Features of adaptive immunity:. Adaptive immunity is characterized by the following:. 1. Antigenic specificity: (. highly specific).. 2. Diversity : . ( each antigen there is specific T-cell and B-cell for it)..