PPT-Ocelot: supported devices

Overview Ocelot PTX Emulator MulticoreBackend NVIDIA GPU Backend AMD GPU Backend 2 Multicore CPU Backend Introduction Target Efficient execution of PTX kernels on CPUs ISA Translation from PTX to LLVM. 3 Android Supported Devices Make Model OS Required Syncing Mobile Track Mobile Run Call Noti64257cations Charge Charge HR Call Noti64257cations Surge Text Surge Music Control Surge Barcode Scanning Coming Soon Challenges Samsung Galaxy S3 Samsung Ga OCELOT FACT SHEE T KINGDOM: Animalia PHYLUM: Chordata CLASS: Mammalia ORDER: Carnivora FAMILY: Felidae GENUS: Leopardus SPECIES: L. pardalis Felis pardalis, from Latin pardalis , "leopard - like") is BRAZILIAN OCELOT t psuan azmost tsn ysars auo wwtv a swmpzs quss twon: “It ws ars uownu to mawntawn ocszots wn zoos, svouzrn’t tvsy ps rsprsssntatwvs ot tvs wwzr popu zatwonM” Tvs OXP-supported devices include: HP LaserJet M3035MFP, M4345MFP, M5035MFP, M9040/9050MFP; HP Color LaserJet CM3530MFP, CM4540MFP, CM4730MFP, CM6030MFP, CM6040MFP; HP 9250C Digital Sender; HP Scanjet 70 1. Overview. 2. Ocelot PTX Emulator. Multicore-Backend. NVIDIA GPU Backend. AMD GPU Backend. Execution Model . Parallel thread Execution (PTX). Explicit memory hierarchy. Cooperative thread arrays (CTAs) and ordering constraints. By Michelle Celliers. Contents. Jaguar . Ocelot. Toco Toucan . Poisonous Dart Frog. Jaguar. The jaguar. . is one of the most dangerous animals in the Amazon.. . An excellent hunter. They can climb high trees and run after its prey. This animal is about 6 feet long and can reach up to 250 pounds in weight. It lives on the first layer ( the forest floor ) of the rainforest but hunt on the understory.. Overview. Ocelot PTX . Emulator. Multicore-Backend. NVIDIA GPU Backend. AMD GPU Backend. 2. Overview. Ocelot PTX . Emulator. Multicore-Backend. NVIDIA GPU Backend. AMD GPU Backend. 3. Multicore CPU Backend: Introduction. Sergey Tomin. other co-workers: . I. Agapov, G. . Geloni, I. . Zagorodnov. Motivation. How it works. Recent results of empirical tuning at FLASH (model-free optimization). OCELOT . features in beam dynamics simulations . Overview. GPU Ocelot overview. Building, configuring, and executing Ocelot programs. Ocelot Device Interface and CUDA Runtime API. Ocelot PTX Internal Representation. PTX Pass Manager. 2. Ocelot: Multiplatform Dynamic Compilation. Created by Natalie Evans. The Ocelot is Amazing For 3 Reasons. What it looks like. It’s speed. What it eats. What it looks like. The ocelot has a pink nose and large clear eyes. It is a medium-sized wild cat that is 4 feet long. It’s fur color ranges from reddish-yellow to smoky white.. Group Members:-. 1. Nirav Chauhan 04. 2. Nachiket Makwana 11. 3. Mihir Parikh 28. 4. Sumit Sharma 57. SUBJECT:- COMPUTER GRAPHICS AND VIRTUAL REALITY. Under The Guidance of Sonali Vaidya. Sergey Tomin. Machine Learning Applications for Particle Accelerators. SLAC, 28.02.2018. Outline. Introduction . Generic Optimizer. Adaptive Feedback. Machine Learning at the European XFEL. S2e simulations in the control room . ConnecTV User Support and Troubleshooting Introduction What is ConnecTV? ConnecTV is a full-featured video service delivered to your TV, laptop and mobile devices, exclusively from LUS Fiber. A modern feature set allows users to have what they want, when they want it on all of their favorite devices. Sergey Tomin. other co-workers: . I. Agapov, G. . Geloni, I. . Zagorodnov. Motivation. How it works. Recent results of empirical tuning at FLASH (model-free optimization). OCELOT . features in beam dynamics simulations .