PPT-Fluidic Kernels: Cooperative Execution of
Author : pasty-toler | Published Date : 2016-05-19
OpenCL Programs on Multiple Heterogeneous Devices Prasanna Pandit R Govindarajan Supercomputer Education and Research Centre Indian Institute of Science Bangalore
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OpenCL Programs on Multiple Heterogeneous Devices Prasanna Pandit R Govindarajan Supercomputer Education and Research Centre Indian Institute of Science Bangalore CGO2014 Outline Introduction. 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 212 , where is the mass moment of Assistant Professor, Department of Mechanical Engineering, 100 Institute Road, AIAA Member. N American Institute of Aeronautics and Astronautics commonality betwe Shai B. Elbaz and Amir D. Gat. Technion - Israel . Institute of . Technology . Faculty of Mechanical Engineering. 1. 12/01/2013. Background (1/2) – Soft Robotics. Emerging . field . of experimental soft robotics. . Also known as “meta-data”. April 2016. Comments in SPICE Kernels. 2. Comments, also called “meta-data,” are information that describe the context of kernel data, i.e. “data about data”. Comments are provided inside kernels as plain text (prose). April 2016. Porting Kernels. 2. Porting Issues - 1. Data formats vary across platforms, so data files created on platform “X” may not be usable on platform “Y.”. Binary. . formats. : different platforms use different bit patterns to represent numbers (and possibly characters).. Brochure . for Walnuts . Photos . 7 April 2014. Adhering Husk/Hull < 10% (allowed). Photo 1. Adhering Husk/Hull < 10% (allowed). Photo . 2. Dirt < 10% (Allowed): Photo 1. Dirt < 10% (Allowed): Photo 2. 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 . : Speeding up GPU Warps . by . Reducing Memory . Pitstops. Ankit Sethia* D. . Anoushe. Scott Mahlke. . Jamshidi. University of Michigan. Graphics. Simulation . Linear Algebra. Data Analytics. Ross McIlroy, Chris Hawblitzel, Galen Hunt. Microsoft Research. Helios: Heterogeneous Multiprocessing with Satellite Kernels. 1. Problem: HW now heterogeneous. Heterogeneity . ignored. by operating systems. 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. Janghaeng Lee. , . Mehrzad. . Samadi. , and Scott . Mahlke. October, 2015. University . of Michigan - Ann . Arbor. University of Michigan. Electrical Engineering . and . Computer Science. Financial Modeling. and . Distributional. Semantics. :. Between. . Syntactic. . Structures. and . Compositional. . Distributional. Semantics. Fabio Massimo . Zanzotto. ART Group. Dipartimento di Ingegneria dell’Impresa. FLUIDICS -BASIC COMPONENTS AND APPLICATIONS.(U) SEP 79 J M JOYCE, R N GOTTRON UNCLASSIFIED HDL-SR-79-6 ,mmilii ullll *lELU=EEi -...........,-.~. I UNCLASSIFIED SECURITY CLASSIFICATION OF THIS PAGE (Wh
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