CloudLightning at a Glance Infographic
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CloudLightning at a glance infographic: project partners, target domains, roadmap and expected impact.
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IEEE Final Year Projects 2011-2012 :: Elysium Technologies Pvt Ltd
IEEE projects, final year projects, students project, be project, engineering projects, academic project, project center in madurai, trichy, chennai, kollam, coimbatore
PNNL April 2011 ogce
This document discusses developing cyberinfrastructure to support computational chemistry workflows. It describes the OREChem project which aims to develop infrastructure for scholarly materials in chemistry. It outlines IU's objectives to build pipelines to fetch OREChem data, perform computations on resources like TeraGrid, and store results. It also discusses the GridChem science gateway which supports various chemistry applications and the ParamChem project which automates parameterization of molecular mechanics methods through workflows. Finally, it covers the Open Gateway Computing Environments project and efforts to sustain software through the Apache Software Foundation.
1. GRID COMPUTING
OUTLINE
Introduction to Grid Computing
Methods of Grid computing
Grid Middleware
Grid Architecture
The Pacific Research Platform
Opening Keynote Lecture
15th Annual ON*VECTOR International Photonics Workshop
Calit2’s Qualcomm Institute
University of California, San Diego
February 29, 2016
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compared than existing methodologies.
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"Debbie Bard leads the Data Science Engagement Group NERSC. NERSC is the mission supercomputing center for the USA Department of Energy, and supports over 7000 scientists and 700 projects with supercomputing needs. A native of the UK, her career spans research in particle physics, cosmology and computing on both sides of the Atlantic. She obtained her PhD at Edinburgh University, and has worked at Imperial College London as well as the Stanford Linear Accelerator Center (SLAC) in the USA, before joining the Data Department at NERSC, where she focuses on data-intensive computing and research, including supercomputing for experimental science and machine learning at scale."
Watch the video: https://wp.me/p3RLHQ-kLV
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
HPC Cluster Computing from 64 to 156,000 Cores 
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"As proof points, Jason uses three use cases from Cycle Computing customers, including from companies like HGST (a Western Digital Company), Aerospace Corporation, Novartis, and the University of Southern California. It’s clear that with these new tools that leverage both Cloud Computing, and HPC – the power of Cloud HPC enables researchers, and designers to ask the right questions, to help them find better answers, faster. This all delivers a more powerful future, and means to solving these really difficult problems."
Watch the video presentation: http://insidehpc.com/2014/09/video-hpc-cluster-computing-64-156000-cores/
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Advances in Grid technology enable the deployment of data-intensive distributed applications, which require moving Terabytes or even Petabytes of data
between data banks. The current underlying networks cannot provide dedicated links with adequate end-to-end sustained bandwidth to support the requirements of these Grid applications. DWDM-RAM1 is a novel service-oriented architecture, which harnesses the enormous bandwidth potential of optical networks and demonstrates their on-demand nsage on the OMNlnet. Preliminary experiments suggest that dynamic optical networks, such as the OMNlnet, are the ideal option for transferring such massive amounts of data. DWDM-RAM incorporates an OGSI/OGSA compliant service interface and will promote greater convergence between dynamic optical networks and data intensive Grid computing.
Design of Tele command SOC-IP by AES Cryptographic Method Using VHDL
The goal of this project is to implement the (AES) encryption system using Verilog. To do this, several separate sections of the algorithm will be coded to work together towards the end goal of performing the correct encryption routines. A telecommand is a command sent to control a remote system or systems i.e not directly connected (e.g. via wires) to the place from which the telecommand is sent. The telecommand word is derived from tele = remote (Greek), and command = to entrust/order (Latin). Systems that need remote measurement and reporting of information of interest to the system designer or operator, require the counterpart of telecommand, telemetry. For a telecommand (TC) to be effective, it must be compiled into a pre-arranged format (which may follow a standard structure), modulated onto a carrier wave which is then transmitted with adequate power to the remote system. The remote system will then demodulates the digital signal from the carrier, decode the telecommand, and execute it.
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Dr. Konstantinos Giannoutakis presents the CloudLightning simulator, a bespoke cloud simulation engine built for modelling and simulating heterogeneous resources as well as self-organising systems.
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This presentation was given at the CloudLightning Conference held in conjunction with NC4 2017 in Dublin City University on 11th April 2017.
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Finally, Prof Petcu addresses the lessons learned from MODAClouds and similar EU projects and their application to the CloudLightning Project (@_cloudlightning).
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CloudLightning at a Glance Infographic
- 1. 1. Improved performance/cost and performance/Watt. 2. Faster speed of genome sequence computation. 3. Reduced development times. 4. Increased volume and quality of related research. 1. Reduced CAPEX and IT associated costs. 2. Extra capacity for overflow (“surge”) workloads. 3. Faster workload processing to meet project timelines. 1. Improved physics simulations and higher resolution RTM imaging. 2. Energy and cost efficient scalable solution for RTM and OPM/DUNE simulations. 3. Reduced risk and costs of dry exploratory wells. 8PARTNERS University College Cork (IE) Norwegian University of Science and Technology (NO) Institute e-Austria Timisoara (RO) Dublin City University (IE) Centre for Research and Technology Hellas (GR) Maxeler Technologies Limited (UK) Intel (IE) Democritus University Of Thrace (GR) CloudLightning will create a new way of provisioning heterogeneous cloud resources to deliver cloud services. This new self-organising system will make the cloud more accessible to cloud consumers and provide cloud service providers with power-efficient, scalable management of their cloud infrastructures. GLOBALHPCMARKETGROWTH This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 643946 YEAR 1 YEAR 2 YEAR 3 2013 2015 2018 $38.1bn $30.5bn $32.1bn Use Case Requirements and Characterisation Integrated Use Cases Infrastructure Gateway Service Report CloudLightning Plugin Large Scale Modelling and Simulation Implementation and Evaluation CloudLightning will progress from TRL 2 to TRL 7. This will be achieved by deploying a prototype system on physical equipment to create a testbed, validate the system and obtain performance measurements. ROADMAP TARGET DOMAINS and how they can benefit from the project http://www.cloudlightning.eu SELF-ORGANISING, SELF-MANAGING HETEROGENEOUS CLOUD SOURCES: Worldwide High Performance Computing 2013 Total Market Model and 2014–18 Forecast, Intersect306 Research, 2014; www.freepik.com EXPECTED IMPACT The HPC market is a large global market and the cloud segment is the fastest growing HPC segment. $15.4bn $3.7bn $1.5bn Traditional HPC Servers and Private Clouds (2017) Hybrid-Custom HPC Clouds (2017) HPC Public Clouds (2017) Increased accessibility to heterogeneous processing resources. Greater choice within the market. Greater energy efficiency and reduction in associated costs. Operational savings.