PPT-CS 179: GPU Computing

Lecture 2 more basics Recap Can use GPU to solve highly parallelizable problems Straightforward extension to C Separate CUDA code into cu and cuh files and compile with nvcc to create object files o files. It enables analytics and knowledge generation to occur at the source of the data This approach requires leveraging resources that may not be continuously connected to a network such as laptops smartphones tablets and sensors Edge Computing covers a Uni processor computing can be called centralized computing brPage 3br mainframe computer workstation network host network link terminal centralized computing distributed computing A distributed system is a collection of independent computers interc Session 2. Aims of the session. For students to develop an understanding of:. How Computing provides wide range of tools that can be used to support the education of pupils with special educational . By: Roshan Kathir, Javakar Jeyanathan, Theodore Egube. What is Quantum Computing?. Computing using quantum mechanics. Very powerful technology to allow extremely fast computing . Uses . qubits . instead of bits. Cloud computing is a model for enabling . convenient. , . on-demand network access . to a . shared pool . of . configurable computing resources . (e.g., networks, servers, storage, applications, and services) [Mell_2009], [Berkely_2009]. . CSCE 190: Computing in the Modern World. Jason D. Bakos. Heterogeneous and Reconfigurable Computing Group. Apollo 11 vs iPhone 10. Apollo 11. Cost: ~$200 billion. (whole program, adjusted). Guidance Computer (1966):. FOG Computing Internet of Things ( IoT ) Connects internet devices – “things” (tablets, sensors, gateways, mobile-phones) to enable new forms of communication between things and people and between the o. n behalf . of the . Trigger. /DAQ/Offline/. Computing . Preparatory Group. ALICE: Pierre . Vande. . Vyvre. , Thorsten . Kollegger. , Predrag Buncic; ATLAS: David Rousseau, Benedetto . Gorini. , Nikos . Mike . Pangburn. Relevance to companies?. Cloud . Computing will be of particular relevance to the following types of firms:. Cash-lean firms. Firms not already heavily invested in previously installed systems/software. Waters. Introduction to GPU Computing. Brief History of GPU Computing. Technical Issues. Social Impact. Marketing and Ethical . Issues. Project Management. Conclusion. Table of Contents. A . GPU is . 1. 2. WHAT is the Offline and Computing Project doing. We are in charge of the CMS Data from the moment it goes out of DAQ @ . Cessy. site and enters CERN/IT. We are in charge of. Data . custodiality. , collected data is streamed to a central server and data . is processed . on a powerful central server which is usually far away from the . data source.. Cloud Computing or simply “the . Cloud. ”,is. Prof. . Raffaele Montella, Ph.D.. http://raffaelemontella.it. raffaele.montella@uniparthenope.it. Outline - Computing in the Cloud. Introduction. Computing as a service. Virtualization and Containerization. Sexton Kennedy (FNAL). Tommaso Boccali (INFN Pisa). 1. Outline. The Offline & Computing Organization. The role within CMS. Tasks, Sites, Infrastructure, Operations. Opportunities. 2. 3. Role within CMS (a sparse macro list.