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The Pacific Research Platform

The Pacific Research Platform aims to create a high-bandwidth network connecting data generators and consumers across multiple campuses on the West Coast, enhancing data transfer capabilities for scientific research. Funded by NSF and involving various academic and industry partners, it leverages technologies like dedicated lightpaths and the Science DMZ model to optimize performance. The initiative focuses on diverse fields such as biomedical research, earth sciences, and astrophysics, facilitating collaborative and data-intensive computational analysis.

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“The Pacific Research Platform” Briefing to The Quilt Visit to Calit2’s Qualcomm Institute University of California, San Diego February 10, 2016 Dr. Larry Smarr Director, California Institute for Telecommunications and Information Technology Harry E. Gruber Professor, Dept. of Computer Science and Engineering Jacobs School of Engineering, UCSD http://lsmarr.calit2.net 1
Vision: Creating a West Coast “Big Data Freeway” Connected by CENIC/Pacific Wave Use Lightpaths to Connect All Data Generators and Consumers, Creating a “Big Data” Freeway Integrated With High Performance Global Networks “The Bisection Bandwidth of a Cluster Interconnect, but Deployed on a 20-Campus Scale.” This Vision Has Been Building for Over a Decade
NSF’s OptIPuter Project: Demonstrating How SuperNetworks Can Meet the Needs of Data-Intensive Researchers OptIPortal– Termination Device for the OptIPuter Global Backplane Calit2 (UCSD, UCI), SDSC, and UIC Leads—Larry Smarr PI Univ. Partners: NCSA, USC, SDSU, NW, TA&M, UvA, SARA, KISTI, AIST Industry: IBM, Sun, Telcordia, Chiaro, Calient, Glimmerglass, Lucent 2003-2009 $13,500,000 In August 2003, Jason Leigh and his students used RBUDP to blast data from NCSA to SDSC over the TeraGrid DTFnet, achieving18Gbps file transfer out of the available 20Gbps LS Slide 2005
DOE ESnet’s Science DMZ: A Scalable Network Design Model for Optimizing Science Data Transfers • A Science DMZ integrates 4 key concepts into a unified whole: – A network architecture designed for high-performance applications, with the science network distinct from the general-purpose network – The use of dedicated systems for data transfer – Performance measurement and network testing systems that are regularly used to characterize and troubleshoot the network – Security policies and enforcement mechanisms that are tailored for high performance science environments http://fasterdata.es.net/science-dmz/ Science DMZ Coined 2010 The DOE ESnet Science DMZ and the NSF “Campus Bridging” Taskforce Report Formed the Basis for the NSF Campus Cyberinfrastructure Network Infrastructure and Engineering (CC-NIE) Program
Based on Community Input and on ESnet’s Science DMZ Concept, NSF Has Funded Over 100 Campuses to Build Local Big Data Freeways Red 2012 CC-NIE Awardees Yellow 2013 CC-NIE Awardees Green 2014 CC*IIE Awardees Blue 2015 CC*DNI Awardees Purple Multiple Time Awardees Source: NSF
The Pacific Research Platform: The Next Logical Step – Connect Multiple Campus Science DMZs with 10-100Gbps Lightpaths NSF CC*DNI Grant $5M 10/2015-10/2020 PI: Larry Smarr, UC San Diego Calit2 Co-Pis: • Camille Crittenden, UC Berkeley CITRIS, • Tom DeFanti, UC San Diego Calit2, • Philip Papadopoulos, UC San Diego SDSC, • Frank Wuerthwein, UC San Diego Physics and SDSC
FIONA – Flash I/O Network Appliance: Termination Device for 10-100Gbps Flows UCOP Rack-Mount Build: FIONAs Are Science DMZ Data Transfer Nodes & Optical Network Termination Devices UCSD CC-NIE Prism Award & UCOP Phil Papadopoulos & Tom DeFanti Joe Keefe & John Graham Cost $8,000 $20,000 Intel Xeon Haswell Multicore E5-1650 v3 6-Core 2x E5-2697 v3 14-Core RAM 128 GB 256 GB SSD SATA 3.8 TB SATA 3.8 TB Network Interface 10/40GbE Mellanox 2x40GbE Chelsio+Mellanox GPU NVIDIA Tesla K80 RAID Drives 0 to 112TB (add ~$100/TB) John Graham, Calit2’s QI
FIONAs as Uniform DTN End Points Existing DTNs As of October 2015 FIONA DTNs UC FIONAs Funded by UCOP “Momentum” Grant
Ten Week Sprint to Demonstrate the West Coast Big Data Freeway System: PRPv0 Presented at CENIC 2015 March 9, 2015 FIONA DTNs Now Deployed to All UC Campuses And Most PRP Sites
Pacific Research Platform Multi-Campus Science Driver Teams • Jupyter Hub • Biomedical – Cancer Genomics Hub/Browser – Microbiome and Integrative ‘Omics – Integrative Structural Biology • Earth Sciences – Data Analysis and Simulation for Earthquakes and Natural Disasters – Climate Modeling: NCAR/UCAR – California/Nevada Regional Climate Data Analysis – CO2 Subsurface Modeling • Particle Physics • Astronomy and Astrophysics – Telescope Surveys – Galaxy Evolution – Gravitational Wave Astronomy • Scalable Visualization, Virtual Reality, and Ultra-Resolution Video 10
PRP First Application: Distributed IPython/Jupyter Notebooks: Cross-Platform, Browser-Based Application Interleaves Code, Text, & Images IJulia IHaskell IFSharp IRuby IGo IScala IMathics Ialdor LuaJIT/Torch Lua Kernel IRKernel (for the R language) IErlang IOCaml IForth IPerl IPerl6 Ioctave Calico Project • kernels implemented in Mono, including Java, IronPython, Boo, Logo, BASIC, and many others IScilab IMatlab ICSharp Bash Clojure Kernel Hy Kernel Redis Kernel jove, a kernel for io.js IJavascript Calysto Scheme Calysto Processing idl_kernel Mochi Kernel Lua (used in Splash) Spark Kernel Skulpt Python Kernel MetaKernel Bash MetaKernel Python Brython Kernel IVisual VPython Kernel Source: John Graham, QI
GPU JupyterHub: 2 x 14-core CPUs 256GB RAM 1.2TB FLASH 3.8TB SSD Nvidia K80 GPU Dual 40GbE NICs And a Trusted Platform Module GPU JupyterHub: 1 x 18-core CPUs 128GB RAM 3.8TB SSD Nvidia K80 GPU Dual 40GbE NICs And a Trusted Platform Module PRP UC-JupyterHub Backbone Next Step: Deploy Across PRP Source: John Graham, Calit2 UC Berkeley UC San Diego
community resources. This facility depends on a range of common services, support activities, software, and operational principles that coordinate the production of scientific knowledge through the DHTC model. In April 2012, the OSG project was extended until 2017; it is jointly funded by the Department of Energy and the National Science Foundation. OSG Federates Clusters in 40/50 States: A Major XSEDE Resource Source: Miron Livny, Frank Wuerthwein, OSG
Open Science Grid Has Had a Huge Growth Over the Last Decade - Currently Federating Over 130 Clusters Crossed 100 Million Core-Hours/Month In Dec 2015 Over 1 Billion Data Transfers Moved 200 Petabytes In 2015 Supported Over 200 Million Jobs In 2015 Source: Miron Livny, Frank Wuerthwein, OSG ATLAS CMS
PRP Prototype of LambdaGrid Aggregation of OSG Software & Services Across California Universities in a Regional DMZ • Aggregate Petabytes of Disk Space & PetaFLOPs of Compute, Connected at 10-100 Gbps • Transparently Compute on Data at Their Home Institutions & Systems at SLAC, NERSC, Caltech, UCSD, & SDSC SLAC UCSD & SDSC UCSB UCSC UCD UCR CSU Fresno UCI Source: Frank Wuerthwein, UCSD Physics; SDSC; co-PI PRP PRP Builds on SDSC’s LHC-UC ProjectCaltech ATLAS CMS other physics life sciences other sciences OSG Hours 2015 by Science Domain
Two Automated Telescope Surveys Creating Huge Datasets Will Drive PRP 300 images per night. 100MB per raw image 30GB per night 120GB per night 250 images per night. 530MB per raw image 150 GB per night 800GB per night When processed at NERSC Increased by 4x Source: Peter Nugent, Division Deputy for Scientific Engagement, LBL Professor of Astronomy, UC Berkeley Precursors to LSST and NCSA PRP Allows Researchers to Bring Datasets from NERSC to Their Local Clusters for In-Depth Science Analysis
Global Scientific Instruments Will Produce Ultralarge Datasets Continuously Requiring Dedicated Optic Fiber and Supercomputers Square Kilometer Array Large Synoptic Survey Telescope https://tnc15.terena.org/getfile/1939 www.lsst.org/sites/default/files/documents/DM%20Introduction%20-%20Kantor.pdf Tracks ~40B Objects, Creates 10M Alerts/Night Within 1 Minute of Observing 2x40Gb/s
PRP Will Support the Computation and Data Analysis in the Search for Sources of Gravitational Radiation Augment the aLIGO Data and Computing Systems at Caltech, by connecting at 10Gb/s to SDSC Comet supercomputer, enabling LIGO computations to enter via the same PRP “job cache” as for LHC.
HPWREN Users and Public Safety Clients Gain Redundancy and Resilience from PRP Upgrade San Diego Countywide Sensors and Camera Resources UCSD & SDSU Data & Compute Resources UCSD UCR SDSU UCI UCI & UCR Data Replication and PRP FIONA Anchors as HPWREN Expands Northward 10X Increase During Wildfires • PRP CENIC 10G Link UCSD to SDSU – DTN FIONAs Endpoints – Data Redundancy – Disaster Recovery – High Availability – Network Redundancy Data From Hans-Werner Braun Source: Frank Vernon, Greg Hidley, UCSD
PRP Backbone Sets Stage for 2016 Expansion of HPWREN, Connected to CENIC, into Orange and Riverside Counties • Anchor to CENIC at UCI – PRP FIONA Connects to CalREN-HPR Network – Data Replication Site • Potential Future UCR CENIC Anchor • Camera and Relay Sites at: – Santiago Peak – Sierra Peak – Lake View – Bolero Peak – Modjeska Peak – Elsinore Peak – Sitton Peak – Via Marconi Collaborations through COAST – County of Orange Safety Task Force UCR UCI UCSD SDSU Source: Frank Vernon, Greg Hidley, UCSD
40G FIONAs 20x40G PRP-connected WAVE@UC San Diego PRP Links FIONA Clusters Creating Distributed Virtual Reality PRP CAVE@UC Merced
UCD UCSF Stanford NASA AMES/ NREN UCSC UCSB Caltech USC UCLA UCI UCSD SDSU UCR Esnet DoE Labs UW/ PNWGP Seattle Berkeley UCM Los Nettos Internet2 Internet2 Seattle Note: This diagram represents a subset of sites and connections. * Institutions with Active Archaeology Programs “In an ideal world – Extremely high bandwidth to move large cultural heritage datasets around the PRP cloud for processing & viewing in CAVEs around PRP with Unlimited Storage for permanent archiving.” -Tom Levy, UCSD PRP is NOT Just for Big Data Science and Engineering: Linking Cultural Heritage and Archaeology Datasets Building on CENIC’s Expansion To Libraries, Museums, and Cultural Sites
Next Step: Global Research Platform Building on CENIC/Pacific Wave and GLIF Current International GRP Partners