Science gateways provide online interfaces for accessing computing resources, software, and data specific to scientific disciplines. They have been used since 2003 through programs like TeraGrid to improve accessibility of supercomputers. The presenter discusses their involvement developing science gateways since 2009, including creating reusable code, integrating with schedulers and data transfer, and working on projects like the Open OnDemand gateway at Harvard. Science gateways aim to make advanced resources and tools more accessible and promote open science and reproducibility.
The Royal Society of Chemistry is one of the worlds foremost scientific societies, a primary publisher for the chemical sciences and an innovator in the domain of eScience. In order to deliver on a number of our eScience projects we utilize a number of components of Advanced Chemistry Development software including nomenclature, physchem prediction, spectroscopy tools and the ACD/Ilab web-based system. This presentation will provide an overview of a number of RSC projects where ACS/Labs software has played an important role in the delivery of the systems including ChemSpider and the National Chemical Database Service for the United Kingdom. We will also provide an overview of our vision to deliver a repository for various types of experimental chemistry data and how we foresee utilizing various prediction and validation software approaches to characterize the data as well as the potential to generate predictive models from the data. This couples directly with our intention to data enable our publication archive of over 300,000 articles extracting chemicals, reactions and analytical data from the historical records.
This talk explains how cloud computing to speed up your research, and provide capabilities that are otherwise out of reach. Big data, data science, machine learning, high-performance computing are all available on-demand using Microsoft Azure.
Researchers around the world can apply for free cloud computing time for their projects at www.Azure4Research.com
Research results in peer-reviewed publications are reproducible, right? If only it was so clear cut. With high profile paper retractions and pushes for better data sharing by funders, publishers and the community, the spotlight is now focussing on the whole way research is conducted around the world.
This talk from the Software Sustainability Institute's Collaborations Workshop 2014 describes how cloud computing, with Microsoft Azure, is helping researchers realize the goals of scientific reproducibility.
Find out more at www.azure4research.com
A presentation at the NIH Workshop on Advanced Networking for Data-Intensive Biomedical Research. The talk covers our work with the science community on using cloud computing to enhance and improve basic research for data analysis and scientific discovery
How cloud computing can accelerate your research. Presentation given at Moscow State University on 19th May 2015.
Apply for Azure for Research Awards at http://research.microsoft.com/en-US/projects/azure/awards.aspx
The Royal Society of Chemistry is one of the worlds foremost scientific societies, a primary publisher for the chemical sciences and an innovator in the domain of eScience. In order to deliver on a number of our eScience projects we utilize a number of components of Advanced Chemistry Development software including nomenclature, physchem prediction, spectroscopy tools and the ACD/Ilab web-based system. This presentation will provide an overview of a number of RSC projects where ACS/Labs software has played an important role in the delivery of the systems including ChemSpider and the National Chemical Database Service for the United Kingdom. We will also provide an overview of our vision to deliver a repository for various types of experimental chemistry data and how we foresee utilizing various prediction and validation software approaches to characterize the data as well as the potential to generate predictive models from the data. This couples directly with our intention to data enable our publication archive of over 300,000 articles extracting chemicals, reactions and analytical data from the historical records.
This talk explains how cloud computing to speed up your research, and provide capabilities that are otherwise out of reach. Big data, data science, machine learning, high-performance computing are all available on-demand using Microsoft Azure.
Researchers around the world can apply for free cloud computing time for their projects at www.Azure4Research.com
Research results in peer-reviewed publications are reproducible, right? If only it was so clear cut. With high profile paper retractions and pushes for better data sharing by funders, publishers and the community, the spotlight is now focussing on the whole way research is conducted around the world.
This talk from the Software Sustainability Institute's Collaborations Workshop 2014 describes how cloud computing, with Microsoft Azure, is helping researchers realize the goals of scientific reproducibility.
Find out more at www.azure4research.com
A presentation at the NIH Workshop on Advanced Networking for Data-Intensive Biomedical Research. The talk covers our work with the science community on using cloud computing to enhance and improve basic research for data analysis and scientific discovery
How cloud computing can accelerate your research. Presentation given at Moscow State University on 19th May 2015.
Apply for Azure for Research Awards at http://research.microsoft.com/en-US/projects/azure/awards.aspx
This talk describes our experiences from hosting scientific research application in the Microsoft Cloud. Covers an overview of Microsoft Azure capabilities, examples of big data analysis for science, data collections, science gateways and science virtual machine libraries.
Science base usage analysis - AGU2016 - in21d08Sky Bristol
ScienceBase is a research infrastructure developed and operated by the U.S. Geological Survey with users and uses across a number of other agency and organization partners. Over four years ago, we released an Application Programming Interface (API) as the foundation of the system and took on the mindset that our progress would be measured by the uptake of the API by others beyond ourselves in developing interesting applications. We now measure success more by someone finding ScienceBase, organizing their data and information, developing an innovative API-driven application and then serendipitous discovery through a science meeting. Because of the way we built the RESTful API, we can characterize what parts of the system are employed. Analysis of usage data helps us take the supposition out of what works and guides design and funding decisions. This analytics-based process facilitates regular adjustments to our thinking and allows us to test design decisions as hypotheses rather than untestable aspirations.
Keynote at Gateways 2017 Conference, Ann Arbor MI
Speaker: Ian Stokes-Rees
"Connecting Cyberinfrastructure Back To The Laptop"
Science Gateways today are generally built to provide a web-accessible interface for a particular scientific community to access a combination of software, hardware, and data deployed in an expertly managed computing center. But what happens when the scientist wants to repatriate their data? Or perform some analysis that is not supported by the gateway? Both for the purposes of encouraging innovative workflows and serving an audience with a wide range of computational experience it is important to consider how a gateway can fit into the broader computational ecosystem of a particular researcher or research group. One simple starting point for this is to ask the question "how can the gateway connect back to the laptop?". This talk will consider how this is being done today in science gateways and present some ideas for how this could be expanded in the future.
Data-intensive applications on cloud computing resources: Applications in lif...Ola Spjuth
Presentation at the de.NBI 2017 symposium “The Future Development of Bioinformatics in Germany and Europe” held at the Center for Interdisciplinary Research (ZiF) of Bielefeld University, October 23-25, 2017.
https://www.denbi.de/symposium2017
This talk describes our experiences from hosting scientific research application in the Microsoft Cloud. Covers an overview of Microsoft Azure capabilities, examples of big data analysis for science, data collections, science gateways and science virtual machine libraries.
Science base usage analysis - AGU2016 - in21d08Sky Bristol
ScienceBase is a research infrastructure developed and operated by the U.S. Geological Survey with users and uses across a number of other agency and organization partners. Over four years ago, we released an Application Programming Interface (API) as the foundation of the system and took on the mindset that our progress would be measured by the uptake of the API by others beyond ourselves in developing interesting applications. We now measure success more by someone finding ScienceBase, organizing their data and information, developing an innovative API-driven application and then serendipitous discovery through a science meeting. Because of the way we built the RESTful API, we can characterize what parts of the system are employed. Analysis of usage data helps us take the supposition out of what works and guides design and funding decisions. This analytics-based process facilitates regular adjustments to our thinking and allows us to test design decisions as hypotheses rather than untestable aspirations.
Keynote at Gateways 2017 Conference, Ann Arbor MI
Speaker: Ian Stokes-Rees
"Connecting Cyberinfrastructure Back To The Laptop"
Science Gateways today are generally built to provide a web-accessible interface for a particular scientific community to access a combination of software, hardware, and data deployed in an expertly managed computing center. But what happens when the scientist wants to repatriate their data? Or perform some analysis that is not supported by the gateway? Both for the purposes of encouraging innovative workflows and serving an audience with a wide range of computational experience it is important to consider how a gateway can fit into the broader computational ecosystem of a particular researcher or research group. One simple starting point for this is to ask the question "how can the gateway connect back to the laptop?". This talk will consider how this is being done today in science gateways and present some ideas for how this could be expanded in the future.
Data-intensive applications on cloud computing resources: Applications in lif...Ola Spjuth
Presentation at the de.NBI 2017 symposium “The Future Development of Bioinformatics in Germany and Europe” held at the Center for Interdisciplinary Research (ZiF) of Bielefeld University, October 23-25, 2017.
https://www.denbi.de/symposium2017
Cloud Standards in the Real World: Cloud Standards Testing for DevelopersAlan Sill
Learn about standards studied in the US National Science Foundation Cloud and Autonomic Computing Industry/University Cooperative Research Center Cloud Standards Testing Lab and how you can get involved to extend the successes from these results in your own cloud software settings. Presented at the O'Reilly OSCON 2014 Open Cloud Day.
Video available at https://www.youtube.com/watch?v=eD2h0SqC7tY
Science Services and Science Platforms: Using the Cloud to Accelerate and Dem...Ian Foster
Ever more data- and compute-intensive science makes computing increasingly important for research. But for advanced computing infrastructure to benefit more than the scientific 1%, we need new delivery methods that slash access costs, new sustainability models beyond direct research funding, and new platform capabilities to accelerate the development of new, interoperable tools and services.
The Globus team has been working towards these goals since 2010. We have developed software-as-a-service methods that move complex and time-consuming research IT tasks out of the lab and into the cloud, thus greatly reducing the expertise and resources required to use them. We have demonstrated a subscription-based funding model that engages research institutions in supporting service operations. And we are now also showing how the platform services that underpin Globus applications can accelerate the development and use of an integrated ecosystem of advanced science applications, such as NCAR’s Research Data Archive and OSG Connect, thus enabling access to powerful data and compute resources by many more people than is possible today.
In this talk, I introduce Globus services and the underlying Globus platform. I present representative applications and discuss opportunities that this platform presents for both small science and large facilities.
In this presentation from the DDN User Meeting at SC13, Erik Deumans from SSERCA describes how the institution is sharing data with WOS from DDN.
Watch the video presentation: http://insidehpc.com/2013/11/13/ddn-user-meeting-coming-sc13-nov-18/
This is a presentation by Dada Robert in a Your Skill Boost masterclass organised by the Excellence Foundation for South Sudan (EFSS) on Saturday, the 25th and Sunday, the 26th of May 2024.
He discussed the concept of quality improvement, emphasizing its applicability to various aspects of life, including personal, project, and program improvements. He defined quality as doing the right thing at the right time in the right way to achieve the best possible results and discussed the concept of the "gap" between what we know and what we do, and how this gap represents the areas we need to improve. He explained the scientific approach to quality improvement, which involves systematic performance analysis, testing and learning, and implementing change ideas. He also highlighted the importance of client focus and a team approach to quality improvement.
The Indian economy is classified into different sectors to simplify the analysis and understanding of economic activities. For Class 10, it's essential to grasp the sectors of the Indian economy, understand their characteristics, and recognize their importance. This guide will provide detailed notes on the Sectors of the Indian Economy Class 10, using specific long-tail keywords to enhance comprehension.
For more information, visit-www.vavaclasses.com
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
How to Create Map Views in the Odoo 17 ERPCeline George
The map views are useful for providing a geographical representation of data. They allow users to visualize and analyze the data in a more intuitive manner.
The Roman Empire A Historical Colossus.pdfkaushalkr1407
The Roman Empire, a vast and enduring power, stands as one of history's most remarkable civilizations, leaving an indelible imprint on the world. It emerged from the Roman Republic, transitioning into an imperial powerhouse under the leadership of Augustus Caesar in 27 BCE. This transformation marked the beginning of an era defined by unprecedented territorial expansion, architectural marvels, and profound cultural influence.
The empire's roots lie in the city of Rome, founded, according to legend, by Romulus in 753 BCE. Over centuries, Rome evolved from a small settlement to a formidable republic, characterized by a complex political system with elected officials and checks on power. However, internal strife, class conflicts, and military ambitions paved the way for the end of the Republic. Julius Caesar’s dictatorship and subsequent assassination in 44 BCE created a power vacuum, leading to a civil war. Octavian, later Augustus, emerged victorious, heralding the Roman Empire’s birth.
Under Augustus, the empire experienced the Pax Romana, a 200-year period of relative peace and stability. Augustus reformed the military, established efficient administrative systems, and initiated grand construction projects. The empire's borders expanded, encompassing territories from Britain to Egypt and from Spain to the Euphrates. Roman legions, renowned for their discipline and engineering prowess, secured and maintained these vast territories, building roads, fortifications, and cities that facilitated control and integration.
The Roman Empire’s society was hierarchical, with a rigid class system. At the top were the patricians, wealthy elites who held significant political power. Below them were the plebeians, free citizens with limited political influence, and the vast numbers of slaves who formed the backbone of the economy. The family unit was central, governed by the paterfamilias, the male head who held absolute authority.
Culturally, the Romans were eclectic, absorbing and adapting elements from the civilizations they encountered, particularly the Greeks. Roman art, literature, and philosophy reflected this synthesis, creating a rich cultural tapestry. Latin, the Roman language, became the lingua franca of the Western world, influencing numerous modern languages.
Roman architecture and engineering achievements were monumental. They perfected the arch, vault, and dome, constructing enduring structures like the Colosseum, Pantheon, and aqueducts. These engineering marvels not only showcased Roman ingenuity but also served practical purposes, from public entertainment to water supply.
We all have good and bad thoughts from time to time and situation to situation. We are bombarded daily with spiraling thoughts(both negative and positive) creating all-consuming feel , making us difficult to manage with associated suffering. Good thoughts are like our Mob Signal (Positive thought) amidst noise(negative thought) in the atmosphere. Negative thoughts like noise outweigh positive thoughts. These thoughts often create unwanted confusion, trouble, stress and frustration in our mind as well as chaos in our physical world. Negative thoughts are also known as “distorted thinking”.
Instructions for Submissions thorugh G- Classroom.pptxJheel Barad
This presentation provides a briefing on how to upload submissions and documents in Google Classroom. It was prepared as part of an orientation for new Sainik School in-service teacher trainees. As a training officer, my goal is to ensure that you are comfortable and proficient with this essential tool for managing assignments and fostering student engagement.
Palestine last event orientationfvgnh .pptxRaedMohamed3
An EFL lesson about the current events in Palestine. It is intended to be for intermediate students who wish to increase their listening skills through a short lesson in power point.
2. What are Science Gateways?
2
• Provide online resource for accessing data,
software, computing services, and equipment
specific to the needs of a science or engineering
discipline
2
3. • Science gateways have involvement since 2003
• TeraGrid science gateways program was designed to
address
– Increasing use of the web for science
– Provide accessibility to supercomputers through these
interfaces
3
History
TeraGrid was an eScience
infrastructure project to
combine resources at eleven
partner sites . The project
started in 2001 and operated
from 2004 through 2011 with
a $53 million in funding
6. 66
My Journey
• Started in 2009 at Indiana University Science Gateways
Group
• First project was to create a generic product using software
developed for LEAD Gateway.
– Make the code reusable for other gateway projects.
– Experiment with web 2.0 technologies.
• Understand Grid Infrastructure and Security
• Develop programmatic APIs to interact with different
schedulers
– PBS, SGE, LSF, UGE, SLURM
• Integrate with data transfer interfaces
– GridFTP (FTP + UDP) – Now Globus
11. 1111
XSEDE ECSS
• Extended Collaborative Support Services (ECSS)
– Performance analysis
– Optimization
– Efficient use of accelerators
– I/O optimization
– Data analytics
– Visualization
– Use of XSEDE by science gateways
– Workflow automation
• Campus Champions (CC)
– Work closely with research group to understand requirements
– Solve local challenges at campus
– Collaborate with ECSS and other XSEDE programes
17. 17
•Web-based platform for computational biomedical research (analysis
and data integration)
•Developed at Penn State, Johns Hopkins, OHSU and Cleveland
Clinic with substantial outside contributions
•Open source under Academic Free License
•More than 6,500 citations
•More than 125 public Galaxy resources
•100+ public servers, many more non-public
•Both general-purpose and domain-specific
28. 2828
CEPR Secure EnvironmentApplication
Local Data
Store
Screener Pre-K InterventionAdult Capacity Future New
Local Data
Store
Local Data
Store
Local Data
Store
Local Data
Store
Data Exchange
Research
Data
CEPW DW File Repository
Central Repository
Controlled flow
30. Our Focus
• Train new users
• Deploy applications useful for user groups
• Use containers like Singularity
– To quickly deploy application
– Promote reproducibility of science
• Create a community to develop applications
• Work with Harvard Dataverse for data
management/archival
• Automation of workflows
• Deployment of useful workflow tools
• Provide resource beyond Harvard
– Cloud
– XSEDE
30
