PPT-SASE optimization with OCELOT
Author : genesantander | Published Date : 2020-08-29
Sergey Tomin other coworkers I Agapov G Geloni I Zagorodnov Motivation How it works Recent results of empirical tuning at FLASH modelfree optimization OCELOT
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SASE optimization with OCELOT: Transcript
Sergey Tomin other coworkers I Agapov G Geloni I Zagorodnov Motivation How it works Recent results of empirical tuning at FLASH modelfree optimization OCELOT features in beam dynamics simulations . 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 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.. Overview. Ocelot PTX . Emulator. Multicore-Backend. 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. Tuesday, March 24. th. Announcements. SASE Regional Conference – . 3/28. Mini Golf & Ice Cream Social – . 4/4. Officer Elections. SASE Seniors. Membership form on Facebook. Dues (. $15 new members, $10 returning members. 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 . Table of ContentsIntroduconTenet 1: Soware-Dened Wide-Area NetworkTenet 2: Virtual Private Network Tenet 3: Zero Trust Network AccessTenet 4: Quality of ServiceTene 3 Your business is going digital. It depends on optimized access to applications and data, on-premises and in the cloud, and an increasingly mobile global workforce. The old network of the past, buil Uday ShethSASE Pro Leader (Retired Director of R&D, P&G)uday.sheth@saseconnect.org saseconnect.orglinkedin.com/company/saseprofacebook.com/saseinstagram.com/saseconnecttwitter.com/saseconnectContact f
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