PPT-Parameterization-Aware MIP-Mapping

Josiah Manson and Scott Schaefer Texas AampM University Texture Parameterization Texture Parameterization Texture Parameterization Texture Parameterization MIPMapping MIPMapping MIPMapping. A parameterization for 2D and 3D geometries based on piecewise Bezier curves and surfaces is proposed here The requested C inter segment continuity is accomplished by automatically generating additional control points without increasing the number o Scott Bachman. With Baylor Fox-Kemper. NSF OCE 0825614. Outline. Motivation. Math and Extant Parameterizations. The models in the suite. Results: . Eady. Conclusion and Future Tasks. Figure courtesy of Baylor Fox-Kemper. Geetika Tewari, Harvard University. John Snyder, Microsoft Research . Pedro V. Sander, ATI Research. Steven J. Gortler, Harvard University. Hugues Hoppe, Microsoft Research. Two Scenarios. Authoring: map a texture image onto a surface. Arul Asirvatham, Emil Praun . (University of Utah). Hugues Hoppe . (Microsoft Research). 2. Consistent Spherical Parameterizations. 3. Parameterization. Mapping from a domain (plane, sphere, simplicial complex) to surface. Arul Asirvatham, Emil Praun . (University of Utah). Hugues Hoppe . (Microsoft Research). 2. Consistent Spherical Parameterizations. 3. Parameterization. Mapping from a domain (plane, sphere, simplicial complex) to surface. &. related issues. P. . Mukhopadhyay. Climate v. Numerical Weather Prediction. NWP: . Initial state is CRITICAL. Don’t really care about whole PDF, just probable phase space. conservation of mass/energy to match observed state. Scott Bachman. With Baylor Fox-Kemper. NSF OCE 0825614. Outline. Motivation. Math and Extant Parameterizations. The models in the suite. Results: . Eady. Conclusion and Future Tasks. Figure courtesy of Baylor Fox-Kemper. Parameterization. Parameterization is used to change the value of any variable at run time.. Following can be parameterized in a script file:-.  . URL portion.  . Header portion.  . BODY portion. Geetika Tewari, Harvard University. John Snyder, Microsoft Research . Pedro V. Sander, ATI Research. Steven J. Gortler, Harvard University. Hugues Hoppe, Microsoft Research. Two Scenarios. Authoring: map a texture image onto a surface. This lecture is designed for students who have some background in cumulus parameterization.. Cumulus . parameterization: . Kain-Fritsch scheme and other mass-flux schemes. The cumulus parameterization problem. Diffusion Break-Aware Leakage Power Optimization and Detailed Placement in Sub-10nm VLSI Sun ik Heo †, Andrew B. Kahng ‡, Minsoo Kim‡ and Lutong Wang ‡ ‡ UC San Diego, † Samsung Electronics Co., Ltd. . . Compiler Techniques to Fight Bias and Correlated Errors on NISQ Hardware. Compiler: Program Transformation. Classical Program Transformation. Program Transformation. P. P’. Caveat:. P , P’ are semantically equivalent programs . Shail Dave. ,. Mahesh Balasubramanian, Aviral Shrivastava. Compiler Microarchitecture Lab, . Arizona State University. Coarse Grained Reconfigurable Array (CGRA). Quick Facts. CGRAs can achieve power-efficiency of several 10s of . for 360-Degree Video Streaming. . Zhetao. Li . Fei . Gui. . Xiangtan University . Jinkun. . Geng. Dan Li . Tsinghua University . Zhibo. Wang . Wuhan University .