Advanced Cyberinfrastructure Enabled Services and Applications in 2021

The Pacific Research Platform (PRP) connects research institutions across the western United States with high-speed networks to enable data-intensive science collaborations. Key points: - The PRP connects 15 campuses across California and links to the Great Plains Network, allowing researchers to access remote supercomputers, share large datasets, and collaborate on projects like analyzing data from the Large Hadron Collider. - The PRP utilizes Science DMZ architectures with dedicated data transfer nodes called FIONAs to achieve high-speed transfer of large files. Kubernetes is used to manage distributed storage and computing resources. - Early applications include distributed climate modeling, wildfire science, plankton imaging, and cancer genomics. The PR

The document provides an overview of the Pacific Research Platform (PRP) and discusses its role in connecting researchers across institutions and enabling new applications. It summarizes the PRP's key components like Science DMZs, Data Transfer Nodes (FIONAs), and use of Kubernetes for container management. Several examples are given of how the PRP facilitates high-performance distributed data analysis, access to remote supercomputers, and sensor networks coupled to real-time computing. Upcoming work on machine learning applications and expanding the PRP internationally is also outlined.

The Pacific Research Platform enables distributed big data machine learning by connecting scientific instruments, sensors, and supercomputers across California and the United States with high-speed optical networks. Key components include FIONA data transfer nodes that allow fast disk-to-disk transfers near the theoretical maximum, Kubernetes to orchestrate distributed computing resources, and the Nautilus hypercluster which aggregates thousands of CPU cores and GPUs into a unified platform. This infrastructure has accelerated many scientific workflows and supported cutting-edge research in fields such as astronomy, oceanography, climate science, and particle physics.

Cybersecurity Engagement in a Research Environment Workshop Rady School of Management, UC San Diego December 5, 2019

The document discusses the Pacific Wave exchange and Pacific Research Platform (PRP). It provides an overview of Pacific Wave, including its history and connectivity across the Pacific and western US. It then discusses how the PRP will build on infrastructure projects to create a high-speed "big data freeway" for science across California universities. This will allow researchers to more easily share and analyze large datasets for projects in areas like climate modeling, cancer genomics, astronomy and particle physics. Details are provided on specific science applications and datasets that will benefit from the enhanced connectivity of the PRP.

Opening Presentation Pacific Research Platform Workshop Calit2’s Qualcomm Institute University of California, San Diego October 14, 2015

This document summarizes Dr. Larry Smarr's invited talk about the Pacific Research Platform (PRP) given at the San Diego Supercomputer Center in April 2019. The PRP is building a distributed big data machine learning supercomputer by connecting high-performance computing and data resources across multiple universities in California and beyond using high-speed networks. It provides researchers with petascale computing power, distributed storage, and tools like Kubernetes to enable collaborative data-intensive science across institutions.

The Pacific Research Platform (PRP) aims to create a "Big Data freeway system" across research institutions in the western United States and Pacific region by leveraging high-bandwidth optical fiber networks. The PRP connects multiple universities and national laboratories, providing bandwidth up to 100Gbps for data-intensive science applications. Initial testing of the PRP demonstrated disk-to-disk transfer speeds exceeding 5Gbps between many sites. The PRP will be expanded with SDN/SDX capabilities to enable even higher performance for large-scale datasets from fields like astronomy, genomics, and particle physics.

- The Pacific Research Platform (PRP) interconnects campus DMZs across multiple institutions to provide high-speed connectivity for data-intensive research. - The PRP utilizes specialized data transfer nodes called FIONAs that provide disk-to-disk transfer speeds of 10-100Gbps. - Early applications of the PRP include distributing telescope data between UC campuses, connecting particle physics experiments to computing resources, and enabling real-time wildfire sensor data analysis.

This document summarizes Dr. Larry Smarr's vision for an integrated science cyberinfrastructure to support data-intensive research. It discusses the exponential growth of digital data and need for dedicated high-bandwidth networks and data repositories. Specific examples are provided of initiatives at UCSD, regional optical networks connecting research institutions, and national projects like the Open Science Grid and Cancer Genomics Hub that are creating cyberinfrastructure to enable data-intensive scientific discovery.

Panel Presentation CENIC Annual Conference University of California, Irvine - Irvine, CA March 9, 2015

The document summarizes Dr. Larry Smarr's presentation on building the Pacific Research Platform (PRP) to enable big data science across research universities on the West Coast. The PRP provides 100-1000 times more bandwidth than today's internet to support research fields from particle physics to climate change. In under 2 years, the prototype PRP has connected researchers and datasets across California through optical networks and is now expanding nationally and globally. The next steps involve adding machine learning capabilities to the PRP through GPU clusters to enable new discoveries from massive datasets.

Presentation to Society of Automotive Engineers (SAE) Committee on Integrated Vehicle Health Management Stanford University September 12, 2017

05.11.03 Physics Department Colloquium UCSD Title: Physics Research in an Era of Global Cyberinfrastructure La Jolla, CA

Keynote Presentation, CineGrid International Workshop 2015, Calit2’s Qualcomm Institute, University of California, San Diego December 11, 2015

The document summarizes the creation and evolution of Calit2, the California Institute for Telecommunications and Information Technology, a partnership between UC San Diego and UC Irvine. It describes how Calit2 was established in 2001 with a mission to explore how emerging technologies could transform applications through interdisciplinary research. With support from the state and industry partners, Calit2 has grown facilities and research projects in areas like networking, virtual reality, biomedicine, and more recently brain-inspired computing and machine learning.

Invited Presentation with Ilkay Altintas To the Council on Competitiveness SDSC, UC San Diego March 8, 2019

Four disruptive trends will shape the next decade: 1) Distributed software systems will drive disintermediation and disrupt industries like transportation and hospitality; 2) Networked virtual reality will allow for planetary-scale collaboration and remote viewing; 3) Climate change will require adaptation of infrastructure to become intelligent, secure, low-carbon and climate-resilient; 4) Brain-inspired computing utilizing massive data and exascale supercomputers will enable emulation of the human brain within a decade and usher in an era of cognitive technologies.

Big Thought Leaders Colloquium Series – Spring 2017 Jackson State University Jackson, MS April 11, 2017

- Digital mirror worlds are software models of physical systems that are continuously updated with real-time data, allowing them to closely mimic and predict the behavior of the real system. - Advances in computing power and sensors are enabling increasingly detailed digital twins of objects, human bodies, cities, wildfires, and even the observable universe. - One trillion sensors are expected to feed the planetary computer within the next decade, driving a global industrial internet and $15 trillion in economic value through digital twins of manufactured products. - Digital twins powered by consumer sensor data may one day provide early disease detection and personalized health coaching at scale.

Invited Talk ON*VECTOR Calit2’s Qualcomm Institute University of California, San Diego February 25, 2015

The document discusses upcoming advances in computing over the next 10 years, including: 1) Exascale supercomputers capable of processing exabytes of data per day will be needed to analyze data from single instruments, requiring terabit per second networks for worldwide data transfers of terabytes of images every minute. 2) New computing architectures like quantum computing, nanoelectronic computing, approximate computing, and neuromorphic computing will be necessary to power planetary-scale computing and real-time brain simulation using exascale machines. 3) This new cyberinfrastructure will drive quantified health using trillions of sensors on human bodies and machines for applications like personalized health coaching and the industrial internet.

Future in Review FireSide Remote Presentation May 27, 2021

This document discusses emerging technologies and predictions about the future of various IT fields. Some key themes and predictions include: synthetic biology producing thousands of new life forms by 2035; drones becoming a major global military investment; and the majority of internet traffic being video by 2015. Additional predictions focus on new forms of communication like thought helmets, as well as new devices and the increasing role of automation.

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Data Science Innovations : Democratisation of Data and Data Science covers the opportunity of citizen data science lying at the convergence of natural language generation and discoveries in data made by the professions, not data scientists.

ARC High Performance Computing Showcase April 21st, 2016, University of Oxford, Oxford e-Research Centre