PPT-Introduction to Kernels

April 2016 Agenda Overview Kernel architecture Producing kernels Using kernels Introduction to Kernels 2 Introduction to Kernels 3 What is a SPICE Kernel Kernel means file Kernel means a file . FF can be used for general signal restoration tasks that can be tackled via convolutional 64257lter ing where it attempts to learn the optimal 64257ltering kernels to be applied to each data point The model can learn both the size of the kernel and g BinetCauchy kernels However such approaches are only applicable to time series data living in a Euclidean space eg joint trajectories extracted from motion capture data or feature point trajectories extracted from video Much of the success of rec ij DD ij ij ij ij ij DD DD DD brPage 4br DD ii TATA 4 ij ij TABTAB ij DDD 44 var var AA DD brPage 5br AA DH DH AA 222 TTT GAAA VVV 222 2 4 TTT GAAA DH VVV C S AA CovFS AA Cov brPage 6br DH SC DH DH AA SC AA DH AA DH DH AA brPage 7br DH DH DH Solar . Radiative. Kernel. s. And Applications. Zhonghai Jin. Constantine . Loukachine. Bruce . Wielicki. Xu. Liu. SSAI, Inc. / NASA . Langley research . Center. July 6-9, 2010. Objective:. . Introduce the reflected solar spectral kernels, their spectral characteristics, and the potential applications to CLARREO . Ross McIlroy, Chris Hawblitzel, Galen Hunt. Microsoft Research. Helios: Heterogeneous Multiprocessing with Satellite Kernels. 1. Problem: HW now heterogeneous. Heterogeneity . ignored. by operating systems. S. ynthesis from . OpenCL. using Reconfiguration . C. ontexts. Authors:. James . Coole. , Greg . Stitt. University of Florida. Dept. . of Electrical . & . Computer Engineering and. NSF . CHREC. Gainesville, FL, USA. Perceptrons. The . perceptron. A. B. instance. . x. i. Compute: . y. i. = . sign(. v. k. . . . x. i. . ). ^. y. i. ^. y. i. If mistake: . v. k+1. = . v. k. + . y. i. . x. i. . x . is a vector. Pipeline . Parallelism from . Multiple . Dependent Kernels for . GPUs. Gwangsun Kim, . Jiyun Jeong, John Kim. Mark Stephenson. GPU Background. CTA. Kernel grid. CTA (Cooperative Thread Array). or Thread block. Machine Learning. March 25, 2010. Last Time. Recap of . the Support Vector Machines. Kernel Methods. Points that are . not. linearly separable in 2 dimension, might be linearly separable in 3. . Kernel Methods. :. Native & Convenient Heterogeneous. Computing for D. Outline. Introduction. Compiler. Libraries. Using . DCompute. (present and future). Future directions. State of Hardware. X86 . –. all compilers. Janghaeng Lee. , . Mehrzad. . Samadi. , and Scott . Mahlke. October, 2015. University . of Michigan - Ann . Arbor. University of Michigan. Electrical Engineering . and . Computer Science. Financial Modeling. for Computer Experiments. Habilitation . à. . Diriger. des . Recherches. Olivier ROUSTANT. Ecole des Mines de St-Etienne. 8. th. November 2011. Outline. Foreword. Computer . Experiments. : . Industrial. heterogenous. devices. Devices can consist of CPUs, . GPUs. , embedded processors etc – uses all the processing resources available. Includes a language based on C99 for writing kernels and API used to define and control the devices. General Requirements. 3 pages long. The 4. th. page should be the biography.. Times Roman 11 or 12 font. 1.5 spacing. Do NOT use I, you, my your, ……. Formal writing. What should it look like?.