PPT-Memory-Efficient Optimization of Gyrokinetic Particle-to-Grid Interpolation for Multicore

Gyrokinetic ParticletoGrid Interpolation for Multicore Processors Kamesh Madduri Samuel Williams Stephane Ethier Leonid Oliker John Shalf Erich Strohmaier Katherine Yelick . 001 0 001 00001 10 10 10 10 10 10 Screening perf or mance of va ious types of screen constr uctions 55 65 75 85 95 105 115 125 135 145 155 165 175 EM Shielding eff ectiv eness dBmeter requency Hz Surf ace transf er impedance mohmsmeter Aluminiz ed o Backslash interpolation aka character interpolation character escapes escape sequences When any of these sequences are found inside a double quoted string theyre interpolated Listed on page 61 of Prog Perl Most common n t brPage 2br Translation Multidimensions. Yunfei. . duan. . Hui . Pan. Bilinear interpolation . The concept of linear interpolation between two points can be extended to bilinear interpolation within the grid cell.. http://en.wikipedia.org/wiki/Bilinear_interpolation. – . From hardware prospective to software. Presenter: D96943001 . 電子所 陳泓輝. Why Moore’s Law is die. He is not CEO anymore!!. Walls => ILP, Frequency, Power, Memory walls. ILP – more cost less return. Contents . Vector processor. Vector instructions. Vector pipelines. Scalar pipeline execution. Vector pipeline execution. Symbolic processors. Attributes. Characteristics. Vector Processors. A vector processor is specially designed to perform vector computations.. Objectives. To give a definition of Interpolation as it relates to GIS and mapping/surveying. To explain How Interpolation Works. Discuss Spatial Autocorrelation, Sample Size, and Interpolation Barriers. Presented By:. Rahul. M.Tech. CSE, GBPEC . Pauri. Contents. Introduction. Symmetric memory architecture. Advantages. The limitations. Addressing the limitations. Problem with more than one copy in caches. CS5670: Computer Vision. Noah Snavely. Image Scaling. This image is too big to fit on the screen. How can we generate a half-sized version?. Source: S. . Seitz. Image sub-sampling. Throw away every other row and column to create a . Multidimensional Scaling. Seung-Hee. . Bae. , Judy . Qiu. , and Geoffrey C. Fox. School of Informatics and Computing. Pervasive Technology Institute. Indiana University. Outline. Data Visualization. Evangelia A. Sitaridi, Kenneth A. Ross. Columbia University. DaMoN Workshop. 21st May 2012. . Introduction (1/2). Earlier GPU implementations of data processing operators have resulted in significant speedups. Hui. Pan, . Yunfei. . Duan. possible problem in physical measurement . Sometimes know the value of a function f(x) at a set of points, but we don’t have an analytic expression for f(x) that lets us calculate its value at an arbitrary point. . FAWN. :. Workloads and Implications. Vijay . Vasudevan. , David Andersen, Michael . Kaminsky. *, Lawrence Tan, . Jason Franklin. , . Iulian. . Moraru. Carnegie Mellon University, *Intel Labs Pittsburgh. Multidimensions. Yunfei. . duan. . Hui . Pan. Bilinear interpolation . The concept of linear interpolation between two points can be extended to bilinear interpolation within the grid cell.. http://en.wikipedia.org/wiki/Bilinear_interpolation. Interpolating a temperature surface. 1. Problem. SOLUTION. Interpolation - applications. Interpolating a rainfall surface. SOLUTION. Problem. Interpolation - applications. Interpolating a landscape surface.