The document provides information about CITRIS and computational science and engineering (CSE) at Berkeley. It summarizes key events and initiatives in CSE including the establishment of a graduate program in CSE, the impact of multicore computing, growth of cloud computing, and XSEDE. It also outlines the Designated Emphasis in CSE, participating departments and courses, and resources available to students.
In this talk I'll discuss work in biomedical image and volume segmentation and classification, as well as outcome prediction modeling from insurance claims data that I've pursued at LifeOmic here in the Triangle. In the former case datasets include radiological image volumes, retinal fundus images, and cell images created with fluorescent microscopy. The latter includes MIMIC-III data represented as FHIR objects. I'll discuss the relative challenges and advantages of doing ML locally vs. on a cloud-based platform.
Science Engagement: A Non-Technical Approach to the Technical DivideCybera Inc.
A presentation for the Future of Networking session at the 2014 Cyber Summit by Jason Zurawski, Science Engagement Engineer, ESnet (Lawrence Berkeley National Laboratory).
In this talk I'll discuss work in biomedical image and volume segmentation and classification, as well as outcome prediction modeling from insurance claims data that I've pursued at LifeOmic here in the Triangle. In the former case datasets include radiological image volumes, retinal fundus images, and cell images created with fluorescent microscopy. The latter includes MIMIC-III data represented as FHIR objects. I'll discuss the relative challenges and advantages of doing ML locally vs. on a cloud-based platform.
Science Engagement: A Non-Technical Approach to the Technical DivideCybera Inc.
A presentation for the Future of Networking session at the 2014 Cyber Summit by Jason Zurawski, Science Engagement Engineer, ESnet (Lawrence Berkeley National Laboratory).
Evolutionary Algorithms for Self-Organising SystemsNatalio Krasnogor
Talk I gave at Ben Gurion University of the Negev in Israel on the 24rd/June/2009. These are a series of talks for the period in which I visited BGU as a distinguished visiting scientist
Massive-Scale Analytics Applied to Real-World Problemsinside-BigData.com
In this deck from PASC18, David Bader from Georgia Tech presents: Massive-Scale Analytics Applied to Real-World Problems.
"Emerging real-world graph problems include: detecting and preventing disease in human populations; revealing community structure in large social networks; and improving the resilience of the electric power grid. Unlike traditional applications in computational science and engineering, solving these social problems at scale often raises new challenges because of the sparsity and lack of locality in the data, the need for research on scalable algorithms and development of frameworks for solving these real-world problems on high performance computers, and for improved models that capture the noise and bias inherent in the torrential data streams. In this talk, Bader will discuss the opportunities and challenges in massive data-intensive computing for applications in social sciences, physical sciences, and engineering."
Watch the video: https://wp.me/p3RLHQ-iPk
Learn more: https://pasc18.pasc-conference.org/
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
To support vital scientific research in fields as diverse as astrophysics, biomedicine and climate science, SciNet beefed up its high-performance computing resources with a Lenovo ThinkSystem supercomputer 10 times more powerful than its predecessor.
How to expand the Galaxy from genes to Earth in six simple steps (and live sm...Raffaele Montella
FACE-IT is an effort to develop a new IT infrastructure to accelerate existing disciplinary research and enable information transfer among traditionally separate fields. At present, finding data and processing it into usable form can dominate research efforts. By providing ready access to not only data but also the software tools used to process it for specific uses (e.g., climate impact and economic model inputs), FACE-IT allows researchers to concentrate their efforts on analysis. Lowering barriers to data access allows researchers to stretch in new directions and allows researchers to learn and respond to the needs of other fields. FACE-IT builds on the Globus Galaxies platform, which has been developed over the past several years at the University of Chicago. FACE-IT also benefit from substantial software development undertaken by the communities who have developed most of the domain-specific tools required to populate FACE-IT with useful capabilities. The FACE-IT Galaxy manages earth system datatypes (as NetCDF), new tool parameters (dates, map, opendap), aggregated datatypes (RAFT), service providers and cool map visualizers.
Kennisalliantie Nieuwjaarsreceptie 31 januari 2013:
Prof. dr. Jacob de Vlieg: “Taming the Big Data Beast Together”
CEO en wetenschappelijk directeur van het Netherlands eScience Center (NLeSC)
Marcella Marletta - Vigilanza, sorveglianza del mercato e contraffazioneMarcella Marletta
Documento di presentazione del discorso tenuto dalla dottoressa Marcella Marletta in occasione della IX Conferenza Nazionale sui Dispositivi Medici, 19-20 dicembre 2016, Roma.
Il programma del corso ICEP 2015 - International Course Endovascular Procedures, tenutosi a Roma dal 19 al 21 ottobre. Tra gli interventi anche quello della dottoressa Marcella Marletta che si è soffermata sul tema del costo dei dispositivi utilizzati nelle procedure endovascolari.
Evolutionary Algorithms for Self-Organising SystemsNatalio Krasnogor
Talk I gave at Ben Gurion University of the Negev in Israel on the 24rd/June/2009. These are a series of talks for the period in which I visited BGU as a distinguished visiting scientist
Massive-Scale Analytics Applied to Real-World Problemsinside-BigData.com
In this deck from PASC18, David Bader from Georgia Tech presents: Massive-Scale Analytics Applied to Real-World Problems.
"Emerging real-world graph problems include: detecting and preventing disease in human populations; revealing community structure in large social networks; and improving the resilience of the electric power grid. Unlike traditional applications in computational science and engineering, solving these social problems at scale often raises new challenges because of the sparsity and lack of locality in the data, the need for research on scalable algorithms and development of frameworks for solving these real-world problems on high performance computers, and for improved models that capture the noise and bias inherent in the torrential data streams. In this talk, Bader will discuss the opportunities and challenges in massive data-intensive computing for applications in social sciences, physical sciences, and engineering."
Watch the video: https://wp.me/p3RLHQ-iPk
Learn more: https://pasc18.pasc-conference.org/
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
To support vital scientific research in fields as diverse as astrophysics, biomedicine and climate science, SciNet beefed up its high-performance computing resources with a Lenovo ThinkSystem supercomputer 10 times more powerful than its predecessor.
How to expand the Galaxy from genes to Earth in six simple steps (and live sm...Raffaele Montella
FACE-IT is an effort to develop a new IT infrastructure to accelerate existing disciplinary research and enable information transfer among traditionally separate fields. At present, finding data and processing it into usable form can dominate research efforts. By providing ready access to not only data but also the software tools used to process it for specific uses (e.g., climate impact and economic model inputs), FACE-IT allows researchers to concentrate their efforts on analysis. Lowering barriers to data access allows researchers to stretch in new directions and allows researchers to learn and respond to the needs of other fields. FACE-IT builds on the Globus Galaxies platform, which has been developed over the past several years at the University of Chicago. FACE-IT also benefit from substantial software development undertaken by the communities who have developed most of the domain-specific tools required to populate FACE-IT with useful capabilities. The FACE-IT Galaxy manages earth system datatypes (as NetCDF), new tool parameters (dates, map, opendap), aggregated datatypes (RAFT), service providers and cool map visualizers.
Kennisalliantie Nieuwjaarsreceptie 31 januari 2013:
Prof. dr. Jacob de Vlieg: “Taming the Big Data Beast Together”
CEO en wetenschappelijk directeur van het Netherlands eScience Center (NLeSC)
Marcella Marletta - Vigilanza, sorveglianza del mercato e contraffazioneMarcella Marletta
Documento di presentazione del discorso tenuto dalla dottoressa Marcella Marletta in occasione della IX Conferenza Nazionale sui Dispositivi Medici, 19-20 dicembre 2016, Roma.
Il programma del corso ICEP 2015 - International Course Endovascular Procedures, tenutosi a Roma dal 19 al 21 ottobre. Tra gli interventi anche quello della dottoressa Marcella Marletta che si è soffermata sul tema del costo dei dispositivi utilizzati nelle procedure endovascolari.
1 Basics:
Shaders/Materials.
Working with color particle : color, expression, expression shader, ...
2 Texture :
Which type Particle, we can use texture ?
Create textures on Adobe Photoshop.
Apply textures to particles.
3 Examples:
Create a spacecraft flying in the sky stars.
Big Data HPC Convergence and a bunch of other thingsGeoffrey Fox
This talk supports the Ph.D. in Computational & Data Enabled Science & Engineering at Jackson State University. It describes related educational activities at Indiana University, the Big Data phenomena, jobs and HPC and Big Data computations. It then describes how HPC and Big Data can be converged into a single theme.
Cyberinfrastructure in Louisiana: From Black Holes to Hurricanes. Presentation at Cyberinfrastructure Days, Notre Dame, April 29-30, 2010. http://ci.nd.edu/
Paul Messina presented this deck at the HPC User Forum in Austin. "The Exascale Computing Project (ECP) is a collaborative effort of two US Department of Energy (DOE) organizations – the Office of Science (DOE-SC) and the National Nuclear Security Administration (NNSA). As part of President Obama’s National Strategic Computing initiative, ECP was established to develop a new class of high-performance computing systems whose power will be a thousand times more powerful than today’s petaflop machines. ECP’s work encompasses applications, system software, hardware technologies and architectures, and workforce development to meet the scientific and national security mission needs of DOE."
Watch the video presentation: http://wp.me/p3RLHQ-fIC
Learn more: http://insidehpc.com/ecp
In this deck from the HPC User Forum, Rick Stevens from Argonne presents: AI for Science.
"Artificial Intelligence (AI) is making strides in transforming how we live. From the tech industry embracing AI as the most important technology for the 21st century to governments around the world growing efforts in AI, initiatives are rapidly emerging in the space. In sync with these emerging initiatives including U.S. Department of Energy efforts, Argonne has launched an “AI for Science” initiative aimed at accelerating the development and adoption of AI approaches in scientific and engineering domains with the goal to accelerate research and development breakthroughs in energy, basic science, medicine, and national security, especially where we have significant volumes of data and relatively less developed theory. AI methods allow us to discover patterns in data that can lead to experimental hypotheses and thus link data driven methods to new experiments and new understanding."
Watch the video: https://wp.me/p3RLHQ-kQi
Learn more: https://www.anl.gov/topic/science-technology/artificial-intelligence
and
http://hpcuserforum.com
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
New learning technologies seem likely to transform much of science, as they are already doing for many areas of industry and society. We can expect these technologies to be used, for example, to obtain new insights from massive scientific data and to automate research processes. However, success in such endeavors will require new learning systems: scientific computing platforms, methods, and software that enable the large-scale application of learning technologies. These systems will need to enable learning from extremely large quantities of data; the management of large and complex data, models, and workflows; and the delivery of learning capabilities to many thousands of scientists. In this talk, I review these challenges and opportunities and describe systems that my colleagues and I are developing to enable the application of learning throughout the research process, from data acquisition to analysis.
Thoughts on Knowledge Graphs & Deeper ProvenancePaul Groth
Thinking about the need for deeper provenance for knowledge graphs but also using knowledge graphs to enrich provenance. Presented at https://seminariomirianandres.unirioja.es/sw19/
Take a trip into the history and future of systems engineering to better understand how we can improve the discipline.
Your host, Dr. Steve Dam, discusses where systems engineering came from and where it is going. He includes discussions on how:
- complexity has changed our methodology
- systems engineering languages have evolved
- technology improvements enable better systems engineering
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
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.
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
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.
1. CITRIS 2011
Computational Science and Engineering (CSE) @ Berkeley
i4Science and CSE @ CITRIS
inspired by Science
Bounded by our imagination
innovation through Technology
Create Social impact
Masoud Nikravesh @ CITRIS and LBNL
CITRIS Director for CSE
Executive Director, DE-CSE @ Berkeley
3. CITRIS 2011
Computational Science and Engineering (CSE)
inspired by Science
Bounded by our imagination
innovation through Technology
Create Social impact
Jim Demmel
EECS & Math Departments
www.cs.berkeley.edu/~demmel
4. CITRIS 2011
What is CSE?
CSE is a rapidly growing multidisciplinary field that
encompasses real-world complex applications
(scientific, engineering, social, economic, policy),
computational mathematics, and computer science
and engineering. High performance computing
(HPC), large-scale simulations, and scientific
applications all play a central role in CSE.
6. CITRIS 2011
TOP 10 Sites for November 2010
Rank Site Computer
1
National Supercomputing Center in Tianjin
China
Tianhe-1A - NUDT TH MPP, X5670 2.93Ghz 6C, NVIDIA GPU,
FT-1000 8C
NUDT
2
DOE/SC/Oak Ridge National Laboratory
United States
Jaguar - Cray XT5-HE Opteron 6-core 2.6 GHz
Cray Inc.
3
National Supercomputing Centre in Shenzhen
(NSCS)
China
Nebulae - Dawning TC3600 Blade, Intel X5650, NVidia Tesla
C2050 GPU
Dawning
4
GSIC Center, Tokyo Institute of Technology
Japan
TSUBAME 2.0 - HP ProLiant SL390s G7 Xeon 6C X5670, Nvidia
GPU, Linux/Windows
NEC/HP
5
DOE/SC/LBNL/NERSC
United States
Hopper - Cray XE6 12-core 2.1 GHz
Cray Inc.
6
Commissariat a l'Energie Atomique (CEA)
France
Tera-100 - Bull bullx super-node S6010/S6030
Bull SA
7
DOE/NNSA/LANL
United States
Roadrunner - BladeCenter QS22/LS21 Cluster, PowerXCell 8i 3.2
Ghz / Opteron DC 1.8 GHz, Voltaire Infiniband
IBM
8
National Institute for Computational
Sciences/University of Tennessee
United States
Kraken XT5 - Cray XT5-HE Opteron 6-core 2.6 GHz
Cray Inc.
9
Forschungszentrum Juelich (FZJ)
Germany
JUGENE - Blue Gene/P Solution
IBM
10
DOE/NNSA/LANL/SNL
United States
Cielo - Cray XE6 8-core 2.4 GHz
Cray Inc.
7. CITRIS 2011
TOP 10 Sites for June 2011
Rank Site Computer
1
RIKEN Advanced Institute for Computational
Science (AICS)
Japan
K computer, SPARC64 VIIIfx 2.0GHz, Tofu interconnect
Fujitsu
2
National Supercomputing Center in Tianjin
China
Tianhe-1A - NUDT TH MPP, X5670 2.93Ghz 6C, NVIDIA GPU, FT-
1000 8C
NUDT
3
DOE/SC/Oak Ridge National Laboratory
United States
Jaguar - Cray XT5-HE Opteron 6-core 2.6 GHz
Cray Inc.
4
National Supercomputing Centre in Shenzhen
(NSCS)
China
Nebulae - Dawning TC3600 Blade, Intel X5650, NVidia Tesla C2050
GPU
Dawning
5
GSIC Center, Tokyo Institute of Technology
Japan
TSUBAME 2.0 - HP ProLiant SL390s G7 Xeon 6C X5670, Nvidia
GPU, Linux/Windows
NEC/HP
6
DOE/NNSA/LANL/SNL
United States
Cielo - Cray XE6 8-core 2.4 GHz
Cray Inc.
7
NASA/Ames Research Center/NAS
United States
Pleiades - SGI Altix ICE 8200EX/8400EX, Xeon HT QC 3.0/Xeon
5570/5670 2.93 Ghz, Infiniband
SGI
8
DOE/SC/LBNL/NERSC
United States
Hopper - Cray XE6 12-core 2.1 GHz
Cray Inc.
9
Commissariat a l'Energie Atomique (CEA)
France
Tera-100 - Bull bullx super-node S6010/S6030
Bull SA
10
DOE/NNSA/LANL
United States
Roadrunner - BladeCenter QS22/LS21 Cluster, PowerXCell 8i 3.2 Ghz
/ Opteron DC 1.8 GHz, Voltaire Infiniband
IBM
8. CITRIS 2011
Computational Science and Engineering (CSE) @ Berkeley
Designated Emphasis (DE) in CSE Participants
~120 Faculty (CSE), ~120 Researchers (Cloud), ~22 Departments,
~60 Courses, more being developed
http://cse.berkeley.edu/ http://cloud.citris-uc.org/
http://citris-uc.org/ http://www.lbl.gov/cs
9. CITRIS 2011
Applications
Cloud-HPC
Computing
Analytics
Math
High performance computing
(HPC), large-scale simulations,
and scientific applications all
play a central role in CSE.
i4Science
CSE
The HPC/cloud computing initiative
and next generation data center
Extreme simulation, visual-data analytics,
data-enabled scientific discovery
Applications/real‐world complex applications (scientific, engineering, social, economic,
policy) using the future multi-core parallel computing ((i.e. E-Informatics, Earthquake Early
Warning, NextGenMaps, Genome Atlas, Genetic Facebook, Genomics Browser)
CSE
Berkeley and LBNL Partnership
HPC-Petascale and Exascale
systems are an indispensable
tool for exploring the frontiers of
science and technology for
social impact.
10. CITRIS 2011
4 Big Events
Establishment of a new graduate program in Computational
Science and Engineering (CSE)
“Multicore revolution”, requiring all software (where
performance matters!) to change
• ParLab
Cloud computing
• RadLab AMPLab
XSEDE – organizes NSF ―cyberinfrastructure‖
Extreme Science & Engineering Discover Environment
Broadcasting our CSE courses nationwide
11. CITRIS 2011
Outline
Goals
Participants
117 faculty from 22 departments – so far
60 Courses, more being developed
How the DE works
Resources and Opportunities
Details at cse.berkeley.edu
12. CITRIS 2011
Designated Emphasis (DE) in CSE
• New “graduate minor” – approved, starting July 1, 2008
• Motivation
– Widespread need to train PhD students in large scale
simulation, or analysis of large data sets
– Opportunities for collaboration, across campus and at LBNL
• Graduate students participate by
– Getting accepted into existing department/program
– Taking CSE course requirements
– Qualifying examination with CSE component
– Need to sign up before quals!
– Thesis with CSE component
– Receive “PhD in X with a DE in CSE”
13. CITRIS 2011
Participating Departments (1/2)
( # faculty by “primary affiliation”, # courses )
•Astronomy (7,3)
•Bioengineering (3,1)
•Biostatistics (2,0)
•Chemical & Biomolecular Engineering (6,0)
•Chemistry (8,1)
•Civil and Environmental Engineering (7,8)
•Earth and Planetary Science (6,3)
•EECS (19,14)
•IEOR (5,5)
•School of Information (1,0)
15. CITRIS 2011
Course Structure
3 kinds of students, course requirements
Applications, CS, Math
Each kind of student has 3 course requirements in other two
fields
Goal: enforce cross-disciplinary training
Ex: Applications students takes courses from EECS, Math,
Statistics, IEOR
We support new course development
5 courses recently created/updated
16. CITRIS 2011
Example Course – CS267
“Applications of Parallel Computing”
see www.cs.berkeley.edu/~demmel/cs267_Spr11
Taught every Spring, in Spr 09 semester to:
UC Berkeley, UC Merced, UC Santa Cruz, UC Davis
All lectures on web (slides + video), freely available
38 Grad + 5 Undergrad
2/3 from EECS, rest ME, Chem, BioE, BioPhys, IntBio
Google “parallel computing course” to get older version
(CS267 ranked #1 !)
17. CITRIS 2011
A few sample CS267 Class Projects
(all posters and video on web page)
Content based image recognition
“Find me other pictures of the person in this picture”
Faster molecular dynamics, applied to Alzheimer’s Disease
Better speech recognition through a faster “inference engine”
Faster algorithms to tolerate errors in new genome sequencers
Faster simulation of marine zooplankton population
Sharing cell-phone bandwidth for faster transfers
18. CITRIS 2011
3 Day Parallel BootCamp
CS267 in 3 days – Aug 15-17, 2011
261 registrants from 45 companies and 61 universities/labs
Taught by ParLab faculty, Intel, Microsoft
Covers multicore, distributed memory, GPU, cloud computing
Hands-on Labs (accounts courtesy of NERSC,XSEDE)
All webcast, video archived for later use
parlab.eecs.berkeley.edu/2011bootcamp
Offered annually
Google ―parallel computing course‖: ranked #2 !
19. CITRIS 2011
Example Course: Ma221
Numerical Linear Algebra
How to solve linear systems, least squares, eigenvalue
problems, singular value problems …
How to tell if you get the right answer
How to do it faster
New, faster, algorithms for most problems
Motivated by ideas in ParLab
Large grants to incorporate them into standard
libraries
20. CITRIS 2011
New CSE Courses
Python for science – AY250
Josh Bloom (Astronomy)
3 day summer short course + seminar
Understanding Molecular Simulation
Phil Geissler (Chem) and Berend Smit (ChemE)
Matlab based, students from Chem, ChemE, MSE, ME, BioPhys
Computer Simulations in the Earth Sciences – EPS109
Burkhard Militzer (Earth & Planetary Science)
Machine learning for understanding simulations/data sets, in Matlab
Optimization Models in Engineering – EE127
Laurent El Ghaoui (EECS)
Matlab (CVX) based, models not algorithms
SW Eng. for Scientific Computing – CS194/294
Phil Colella (EECS,LBL)
For non-CS grads and undergrads
24. CITRIS 2011
National Energy Research Scientific Computing Facility
Department of Energy Office of Science
(unclassified) Facility
• 4000 users, 500 projects
• From 48 states; 65% from universities
• 1400 refereed publications per year
Systems designed for science
• 1.3 PF Hopper system (Cray XE6)
- 4th Fastest computer in US, 8th in world
• .5 PF in Franklin (Cray XT4), Carver (IBM
iDataplex) and other clusters
32. CITRIS 2011
Parallel Computing Short Courses –
offered by LBNL
12th Workshop on DOE Advanced CompuTational
Software (ACTS) Collection
Aug 16-19 – this week!
acts.nersc.gov/events/Workshop2011/
How to use selected computational tools developed for
high performance computing
ScaLAPACK, PETSc, Hypre, Zoltan, GlobalArrays, …
Feel free to visit (their web site)
33. CITRIS 2011
From Teragrid to XSEDE
• Teragrid
• Easy access to NSF cyberinfrastructure
• Supercomputers, storage, visualization, networks
• Education, training and support of users
• XSEDE: Extreme Science and Engineering Discovery Environment
• Next-Generation Teragrid – www.xsede.org
• Started July 2011, 17 institutions, $121M over 5 years
• New, more integrated cyberinfrastructure
• More educational activities
• Assist curriculum development
• Help form new CSE degree programs
• Broadcast, provide computing facilities for selected courses
• 4 courses (so far) from Berkeley:
• Parallel bootcamp, CS267, ACTS Workshop, Keutzer‘s CS194
34. CITRIS 2011
Strategic Projects/
Shared Facilities,
Resources, Expertise
Technology
Streaming Data and
Visual Analytics
Core Group*
Core Scientific
Group*
Shared Facilities
VisLab+ Computing
Infrastructures
Delivery of Service
Mobile Devices,
Internet, and Cloud
Science/Applications
scientific,engineering,social,economic/business/finance
ACCESS- E-informatics
Earthquake Early
Warning
Next Generation
Dynamic Maps
Genome Atlas, Genetic
Facebook, Genomics
Browser, bioinformatics,
Immune System, …
Computational
Bioscience,
Neuroscience,
Nanoscience ,
Astrophysics , …
*core group of enabling computational scientists would stand at the heart of the center, and that they would both cross-
pollinate expertise among projects and provide great leverage in winning large federally-supported projects*.
Educational, Research, and Social Impacts; IT-Enabled Disaster Resilience
i4Science at CITRIS and LBNL
Intensive Computing, Immersive Visualization and Human Interaction
Data and Visual-enabled Scientific Discovery and Insight Accelerator
(~120 CSE Faculty, ~120 Cloud Researchers, and 22 Departments)
(~120 BCNM Faculty and 35 Departments)
35. CITRIS 2011
For more information about
Computational Science and Engineering:
cse.berkeley.edu
37. CITRIS 2011
Participating ME Faculty
David Auslander
Francesco Borrelli
Michael Frenklach
Tony Keaveny
Philip Marcus
Sara McMains
Oliver O‘Reilly
Andrew Packard
Panos Papadopoulos
David Steigmann
Tarek Zohdi
Paul Wright
40. CITRIS 2011
Helen Wills Neuroscience Institute
Michael DeWeese
Jack Gallant
Tom Griffiths
Robert Knight
Bruno Olshausen
Frederic Theunissen
Dan Yang
42. CITRIS 2011
Math Faculty Participants
Grigory Barenblatt
Alexandre Chorin
James Demmel
David Eisenbud
Craig Evans
Steve Evans
Alberto Grunbaum
Ming Gu
Ole Hald
Olga Holtz
Richard Karp
Lior Pachter
Per-Olof Persson
James Sethian
John Strain
Bernd Sturmfels
Jon Wilkening
Maciej Zworski
43. CITRIS 2011
Vision Science Faculty Participants
Sources: 44
• Maneesh Agrawala (EECS)
• Yang Dan (Neuroscience, MCB)
• Jack Gallant (Neuroscience, Psychology)
• Stanley Klein (Optometry)
• Bruno Olshausen (Neuroscience, Optometry)
• Austin Roorda (Optometry)
44. CITRIS 2011
Participating EECS Faculty
Maneesh Agrawala
Ruzena Bajcsy
Jose Carmena
Paul Hilfinger
Clark Nguyen
James O’Brien
Jaijeet Roychowdhury
Jonathan Shewchuk
Kathy Yelick
Avideh Zakhor
Edward lee
Stuart Russell
Shakar Sastry
Laurent El-Ghaoui
James Demmel
Peter Bartlett
Michael Jordan
Richard Karp
Alistair Sinclair
Martin Wainwright
Bin Yu
45. CITRIS 2011
Participating EPS Faculty
William Collins
Doug Dreger
Inez Fung
Michael Manga
Burkhard Militzer
Mark Richards
Barbara Romanowicz
David Romps
46. CITRIS 2011
i4Science at CITRIS and LBNL
(inspired, imagination, innovation, impact)
inspired by Science
Bounded by our imagination
innovation through Technology
Create Social impact
Masoud Nikravesh @ CITRIS and LBNL
CITRIS Director for CSE
Executive Director, DE-CSE @ Berkeley
47. CITRIS 2011
i4Science: Vision
(Inspired, Imagination, Innovation, Impact)
To support the work of scientists and engineers as they
pursue complex -simulation, as well as computational,
data and visualization- intensive research to enhance
scientific, technological, and economic leadership while
improving our quality of life.
Inspired by Science
Bounded by our Imagination
Innovation through Technology
Create Social Impact
48. CITRIS 2011
i4Science: Mission
(Inspired, Imagination, Innovation, Impact)
Conduct world-leading research in applied mathematics and
computer science to provide leadership in such areas as energy,
environment, health-information technology, climate, bioscience and
neuroscience, and intelligent cyber-physical infrastructure to name a
few.
Be at the forefront of the development and use of ultra-efficient
largest-scale computer systems, focusing on discoveries and
solutions that link to the evolution of the commercial market for high-
performance and cloud computing and services.
Allow industry collaborators to gain experience with computational
modeling / simulation and the effective use of HPC and Cloud
facilities and carrying back new expertise to their institutions. This
would enable the Industry partners to be ―first to market‖ with
important scientific and technological capabilities, breakthrough
ideas, and new hardware-software.
49. CITRIS 2011
Applications
Cloud-HPC Analytics
High performance computing
(HPC), large-scale simulations,
and scientific applications all
play a central role in CSE.
i4Science
CSE
The HPC/cloud computing initiative
and next generation data center
Extreme simulation, visual-data analytics,
data-enabled scientific discovery
Applications/real‐world complex applications (scientific, engineering, social, economic,
policy) using the future multi-core parallel computing ((i.e. E-Informatics, EarthQuake Early
Warning, NextGenMaps, Genome Atlas, Genetic Facebook, Genomics Browser)
i4Science
Berkeley and LBNL Partnership
HPC-Petascale and Exascale
systems are an indispensable
tool for exploring the frontiers of
science and technology for
social impact.
50. CITRIS 2011
i4Science
Berkeley and LBNL Partnership
UC Berkeley and LBNL have recently partnered in four areas of
research and education at the forefront of large-scale computation:
extreme simulation, [streaming] massive scale visual-data
analytics, (Insight Lab)
the cloud and mobile cloud computing initiative (and services
science),
the future of multi-core parallel computing (Tera+ applications,
+1,000 cores).
education of the next generation of interdisciplinary students and
industry leaders (CSE program and a new Professional Master
Program (PMS) to be developed)
In addition, Berkeley and LBNL have made major commitments to
develop our computational science infrastructure, which includes
computing clusters and advance visualization laboratory.
51. CITRIS 2011
i4Science
Berkeley and LBNL Partnership
The i4Science Initiative a research based program is a
strategic partnership between CITRIS and LBNL.
i4Science will focus mainly on smaller subset of CSE
applications that within 3–5 years would be scalable
from 1000s to millions of processors and from tera to
exa-scale computing using emerging computing
technologies—HPC and Cloud.
The initiative will also explore the use of virtual reality,
including Second Life and SimCity, as well as other
social network technologies such as the Citizen
CyberScience to build community for education and
outreach, and for training decision-makers.
52. CITRIS 2011
i4Science: Initial Areas of Interest
i4Science will focus mainly on smaller subset of CSE applications that within
3–5 years would be scalable from 1000s to millions of processors and from
tera to exa-scale computing using emerging computing technologies—HPC
and Cloud. In the areas of:
i4Science – Data Enabled Discovery (Streaming Massive Scale Visual- Data
Analytics; Insight Lab and CDISC Proposal)
i4Science – Cloud-Mobile Computing– Knowledge Mobilization (Services
Science and HPC Cloud)
i4Science – Ecosystems and Urban Metabolism (Smart Cities- ACCESS
Proposal)
i4Science – Financial and Economic Systems and Market
i4Science – ICT-Enabled Disaster Resilience (Command and Control)
i4Science – Healthcare - IT, Genetic, Monitoring and Life Sciences (P4-
Medicine)
i4Science – Intelligent Cyber-Physical Infrastructure (People, Sensors,
Machines and Systems)
i4Science – Education (CSE and Multi-Disciplinary Education)
53. CITRIS 2011
~120 Faculty (CSE),
~120 Researchers (Cloud),
~22 Departments,
~60 Courses, more being developed
http://cse.berkeley.edu/
Designated Emphasis (DE) in CSE
Participants
54. CITRIS 2011
CSE Participating Departments (1/2)
( # faculty by “primary affiliation”, # courses )
•Astronomy (7,3)
•Bioengineering (3,1)
•Biostatistics (2,0)
•Chemical Engineering (6,0)
•Chemistry (8,1)
•Civil and Environmental Engineering (7,8)
•Earth and Planetary Science (6,3)
•EECS (19,14)
•IEOR (5,5)
•School of Information (1,0)
56. CITRIS 2011
58
Cloud Initiative at Berkeley
~120 Faculty (CSE), ~120 Researchers (Cloud) , 22 Departments
Data Structure
Analytics
Service
Delivery
57. CITRIS 2011
Cloud Initiative at Berkeley
~120 Faculty (CSE), ~120 Researchers (Cloud) , 22 Departments
Cloud
Infrastructure
Applications (scientific,
engineering, social,
economic/business/finance,
policy)
Delivery of
Services
Mobile Devices
Mobile CloudSoftware and Appliances
Cluster Scheduling &
Reliability
Network Research and
Security
Supercomputer
Public Cloud
Private Cloud
Volunteering Computing
Mobile Cloud
Streaming Data
Massive Data
Extreme Simulation
Large Scale Visualization
Machine Learning
Analytics
Intelligent Dynamic Maps
Early Warning
Social Networking
Second Life
Cyber Citizen
Personalized Services
Crowd Sourcing
58. CITRIS 2011
Cloud Initiative at Berkeley
~120 Faculty (CSE), ~100 Researchers (Cloud) , 22 Departments
Infrastructure – Cloud Cluster and Data Centers
Delivery of Services – Mobile Cloud
Applications
Scientific
Social
Economics/Business
Software and Appliances
Cluster Scheduling & Reliability
Network Research and Security
Mobile devices, Mobile Cloud, and Cloud Infrastructure
will be the device/tools of choice for delivery of services.
59. CITRIS 2011
CITRIS Cloud Computing Initiative
We will focus on three main areas:
Machine Learning: Provide the general public with
machine learning analytics tools and algorithm runs in
cloud infrastructure.
Streaming Data Analytics and Visualization: Analyses
and visualization of large-scale real time data sets such
as traffic information, online news sources, economics
data, and scientific data such as astrophysical data.
Scientific Applications: Benchmarking and cataloging the
suitability of cloud computing for science and engineering
applications, including HPC applications.
60. CITRIS 2011
Initial Survey of Research Topics for “Cloud” (1/2)
A small selection from among the 120 faculty
Some ok on ―cloud,‖ others may require tighter coupling
Astronomy (10 faculty)
Some simulations (large scale, many smaller scale),
some large data sets (up to terabytes/day)
Chemistry and Chemical Engineering (12 faculty)
Some large-scale simulations, some less tightly coupled
Ex: New materials for energy via QMC, chemical database
screening
Neuroscience and Cognitive Computing (8 faculty)
Some large scale simulations (of brain, auditory system)
Some large data set analysis (crcns.org)
61. CITRIS 2011
Initial Survey of Research Topics for “Cloud” (2/2)
Computational systems biology (9 faculty)
―Digital Human‖, many layers of simulation
Econ/EECS/IEOR/Math/PoliSci/Stat (9 faculty)
Statistical analysis and visualization of large scale
heterogeneous data bases of economic, financial, social data
Ex: statnews.eecs.berkeley.edu/about/project for news analysis
Economics (8 faculty, including 1 Nobelist)
Econometric and social modeling
Ultra-efficient Climate Computer (7 faculty + staff)
Joint with LBNL
100x lower power than current supercomputers
63. CITRIS 2011
Strategic Projects/
Shared Facilities,
Resources, Expertise
Technology
Streaming Data and
Visual Analytics
Core Group*
Core Scientific
Group*
Shared Facilities
VisLab+ Computing
Infrastructures
Delivery of Service
Mobile Devices,
Internet, and Cloud
Science/Applications
scientific,engineering,social,economic/business/finance
ACCESS- E-informatics
Earthquake Early
Warning
Next Generation
Dynamic Maps
Genome Atlas, Genetic
Facebook, Genomics
Browser, bioinformatics,
Immune System, …
Computational
Bioscience,
Neuroscience,
Nanoscience ,
Astrophysics , …
*core group of enabling computational scientists would stand at the heart of the center, and that they would both cross-
pollinate expertise among projects and provide great leverage in winning large federally-supported projects*.
Educational, Research, and Social Impacts; IT-Enabled Disaster Resilience
i4Science at CITRIS and LBNL
Intensive Computing, Immersive Visualization and Human Interaction
Data and Visual-enabled Scientific Discovery and Insight Accelerator
(~120 CSE Faculty, ~120 Cloud Researchers, and 22 Departments)
(~120 BCNM Faculty and 35 Departments)
64. CITRIS 2011
Earthquake early warning
400 seismic stations
across California
Use existing seismic stations to
• detect the beginning of earthquakes
• estimate the location and magnitude
• predict damaging ground shaking
• issue a warning to those in harms way
Seconds to tens
of seconds warning,
up to 1 minute
• people move to safe zone (under table)
• slow and stop trains (BART)
• isolate hazards (equipment, chemicals)
new science + modern communications
Allen Richard
65. CITRIS 2011
Opinion Space:
Crowdsourcing Insights
Scalability: N Participants, N Viewpoints
Each Viewpoint is n-Dimensional
Dim. Reduction: 2D Map of Affinity/Similarity
Insight vs. Agreement: Nonlinear Scoring
N2 Peer to Peer Reviews
Source: Ken Goldberg and Alec Ross
66. CITRIS 2011
CISN
ShakeMap
Crowdsourcing + physical modeling + sensing + data assimilation
Physical modeling-based live maps, which contain real-time assessments of
situation integrating streaming data
Source: Alex Bayen
NextGenMap: The Value of Multi-disciplinary Research:
Invention, Societal-pull, Products, New Legislation
67. CITRIS 2011
Source: Paul Nerenberg
Molecular Dynamics Force Field Development
MD simulations of
peptides and small
molecules
New parameters for bonded
and non-bonded interactions
Comparison with
quantitative expt. data
Ultimate goal: to characterize the
structural ensembles of intrinsically
disordered proteins and peptides (e.g.,
amyloid β – the ―Alzheimer‘s protein‖)
using MD simulations in tandem with
biophysical experiments.
68. CITRIS 2011
Real-time (machine-learned) classification of astronomical event data
data deluge requires abstracting traditional roles of scientist in discovery
working with real data now, towards a scaleable framework for the Large
Synoptic Survey (LSST) era
new statistical analytics
on sparse data
machine learning with noisy
& spurious feature sets
cloud-based ML with
massive databases
Source: Josh Bloom
Berkeley Time-Series Center
69. CITRIS 2011
Applied Mathematics and Statistics, UCSC
Geophysical and Astrophysical Fluid Dynamics (GAFD) esp. HPC simulations
THE SUN
Yohkoh
SOHO La Palma
LOCAL MODELS OF COMPRESSIBLE MHDOBSERVATIONAL DATA
Source: N. Brummell
70. CITRIS 2011
Diagnostic:
• moderate
pleomorphism
• high cellularity
Diagnostic:
• zonal
necrosis
The Cancer Genome Atlas
To Characterize Every Tumor Type
Molecular data (e.g., copy number,
methylation)
Histology section (e.g., apoptotic rate)
Sequence data
Source: Bahram Parvin
71. CITRIS 2011
Innovative visualizations for a topic‘s
summary in news across time
Real-time summaries of topics across many news sources
Global image of news landscape
Interpretable results obtained via sparse machine learning techniques
Massive data sets requires cloud computing
Real-time image of news sources or topics
Source: Laurent El Ghaoui
StatNews:
Analytics and Visualization of News Data
72. CITRIS 2011
Berkeley Teleimmersion Lab
Real-time 3D reconstruction
Cameras
• Tele-immersion connects remote users through a shared virtual environment
• Users are captured in real-time using stereo cameras to obtain their 3D avatar
• Geometry of the real world is preserved and mapped into virtual environment
Source: Ruzena Bajcsy
73. CITRIS 2011
Potential
NEGF
Poisson
Equation
Charge
GNR
GNR
m-CNT
Franklin
Simulations
Atomistic, Non-Equilibrium, Quantum Statistics-
Mechanical and Massively Parallel Simulation of
Electronic Transport for Energy Aware Electronics
•Massive parallelization
enables simulations of
realistic structures, starting
from every atom, previously
considered impossible
Results highlighted as a cover
story in Applied Phys Letters
(97, 03310,2, 2010.)
Source: S. Salahuddin
74. CITRIS 2011
3D/4D Modeling and Visualization
Prof. Avideh Zakhor, Video & Image Processing Lab
Fast, automatic, scalable, 3D modeling
using heterogeneous sensors such as laser
scanners, cameras, IMUs, ….
Building interiors
City modeling at the street level
Airborne modeling of cities
4D modeling: x,y,z plus time:
Build time varying model of an evolving
object or a scene
Use camera/projector structured light
systems in one station
Surround the scene by multiple stations
Capture
Area
4D modeling
Portable backpack for interior modeling
Source: A. Zakhor
75. CITRIS 2011
Development of Parallel Analytical Tools
Goal: Create new, scalable methods to
explore petascale climate data
Task: Combine 3 powerful methods –
• VisIt: a parallel visualization package
• R: a statistical computing environment
• CDAT: PCMDI‘s Climate Data Analysis Tools
Result: A highly concurrent analytical package
optimized for statistical characterization of
localized features in climate-change simulation.
Randall CRM GMAO ESM
Source: B. Collins
77. CITRIS 2011
Information School
i247: Information Visualization and Presentation
Prof. Marti Hearst, Dr. Cecelia Aragon
http://courses.ischool.berkeley.edu/i247/s08/
―The goal of information visualization is the unveiling of the
underlying structure of large or abstract data sets using
visual representations that utilize the powerful processing
capabilities of the human visual perceptual system. We will
analyze the factors contributing to success or lack thereof,
as a means to determine how to devise future successful
visualizations.‖
79. CITRIS 2011
Civil & Environmental Eng
Prof. Alex Bayen
Teaching traffic engineering (highway flow modeling,
traffic data analytics), to help better understand the
physics of traffic, and relate it to flow models
Next: ‗How to program your data analytics application'
with the application running on the cloud, querying our
central system, and displaying things on the viz wall.
Later: research on large scale visualization of traffic.
80. CITRIS 2011
Civil & Environmental Eng
Prof. Tina Chow
CE 105 - Applied environmental fluid mechanics - new
grad/undergrad course for Spring 2011
Hands-on, project based modeling class
Public outreach efforts through the Lawrence Hall of Science
First theme: weather in the Bay Area, using numerical models
to help understand flow patterns and explain "micro-climates"
due to topography etc. We will be running high-resolution
mesoscale atmospheric models for the Bay Area and have
lots of data to visualize.
Use the visualization wall during class to
explore the flow field in different regions in the Bay Area
having student groups use it to help create an educational video
for posting online,
hosting small groups of K-12 kids for live demos on the vis. wall.
81. CITRIS 2011
Statistics
Prof. Bin Yu
Stat 215A – first year graduate applied statistics
Large data sets to visualize include
Multi-angle satellite images (9 angles
and 4 bands) for arctic cloud detection
Natural-image (and movie) MRI data
from V1, V2 and V4 and other visual regions of the human
brain
Would also use in Stat 151AB, on linear models
82. CITRIS 2011
EECS
Prof. Stuart Russell
CS289 – Knowledge Representation
Visualize data from global
seismic/infrasound/hydroacoustic monitoring, which I am
working on for the UN to detect nuclear explosions inter
alia. The images would be mostly map-based with heat-
map (probability) and point-cloud overlays etc., both
static and dynamic.
83. CITRIS 2011
EECS
Prof Ruzena Bajcsy
Distributed education for training health providers, eg
surgical training
Training archeologists how to interpret archeological
findings
Prof. James O‘Brien
CS184 – computer graphics
How to synchronize visual effects on a large scale
85. CITRIS 2011
87
CDISC: Center for Data-Driven Scientific Computing
Center Example for i4Science
Date-Driven
Scientific Computing
APPS
CORE
LIBRARIES
ANALYTICS
MACHINE
LEARNING
TRANINING &
EDUCATION
OUTREACH
Devices and Computing Environment
86. CITRIS 2011
88
Our Center will develop a wide array of computational tools to tackle the
challenges of data-intensive scientific research across multiple scientific
disciplines.
These tools will encapsulate state of the art machine learning and statistical
modeling algorithms into broadly applicable, high-level interfaces that can
be easily used by application scientists.
Our goal is to dramatically reduce the time needed to extract knowledge
from the floods of data science is facing, thanks to workflows that permit
exploratory and collaborative research to evolve into robustly reproducible
outcomes.
CDISC:
Center for Data-Driven Scientific Computing
87. CITRIS 2011
89
Our development will be driven by a collection of scientific problems that
share a common theme.
They all present major data-intensive challenges requiring significant
algorithmic breakthroughs and represent key questions within their field,
from rapid astronomical discovery of rare events to early warning
systems for natural hazards such as earthquakes or tsunamis.
Moving beyond the traditional domain of scientific computing, we will
tackle a collection of problems in social sciences and the digital
humanities, pushing the boundaries of quantitative scholarship in these
disciplines.
CDISC:
Center for Data-Driven Scientific Computing
88. CITRIS 2011
90
Berkeley ACCESS Themes
Center for Accelerating Environmental Synthesis and Solutions (ACCESS)
To enable synthesis, En Infomatics
(En= Environmental, Ecological, Epidemiological, Economic,
Engineering, Equitable, Ethical,… )
ACCESS: Center Example for i4Science
89. CITRIS 2011
ACCESS Focus
ACCESS will focus on five major domains critical
for human welfare and environmental quality:
freshwater, health, ecosystems, urban metabolism,
and food security; and will create and implement a
synthesis process that makes research tools and
understanding rapidly accessible across disciplines,
and foster new ways of thinking across disciplines
about critical environmental problems.
Source: Inez Fung
Center for Accelerating Environmental Synthesis and Solutions (ACCESS)
90. CITRIS 2011
Berkeley ACCESS Themes
Ecosystem trajectories over the past million years and in the future -
rate and nature - result principally 8000 generations of human
population growth and aspirations.
Underlying ecosystem trajectories are the changing supply and
demand of water and the need to harness energy to advance
civilization.
Urban metabolism: Theoretical models of cities as complex socio-
ecological systems with particular metabolic dynamics. Urban policy
is increasingly critical to building a more sustainable future.
The increasing ease of utilizing existing resources leads to their rapid
and unsustainable depletion, with many resulting intolerable impacts,
including those on
Human and animal health
Food security
Source: Inez Fung
Center for Accelerating Environmental Synthesis and Solutions (ACCESS)
91. CITRIS 2011
Urban Metabolism
Conceptual Frameworks for Urban Metabolism: Theoretical models of
cities as complex socio-ecological systems with particular metabolic
dynamics include approaches based in political economy, sociology, urban
ecology and biogeochemistry, and industrial ecology – many of which
remain disconnected from each other. In addition, because the inputs to
urban life are globalized, the geography of consumption and production
networks must be integrated into conceptual frameworks.
Data Integration: A rapidly expanding volume of geospatial data on urban
stocks and flows – about people, animals, vegetation, consumer products,
energy, waste, etc. – is available for synthesis and building models of the
complex metabolic cycles of cities.
Policy and Activism: Urban policy is increasingly critical to building a more
sustainable future, but the policy interventions and activist campaigns are
piecemeal remedies rather than solutions based on an understanding of
cities as complex socio-ecological systems.
Visualization and Decision-Support: Decision makers and stakeholders of
many types need to visuzlize model results quickly and effectively.
Generating sophisticated and insightful visualizations of urban systems is
an emergent and critical field.
Source: Inez Fung
92. CITRIS 2011
Environmental-Informatics
Seamless access to massively-distributed and diverse types of data (e.g.
satellite, museum specimens)
State-of-the-art visualization infrastructure
Collaborative analysis practices (e.g. textual and graphical annotation,
links, tags)
Scalable data transformations in a time concordant with interactive data
analysis
Cloud computing as well as large-scale simulations on super computers
Synthesis of imprecise E-data - societal values and decision making
Virtual reality and social networking for building enviro-community, for
education & outreach, and for training on the ground decision-makers
Source: Inez Fung
93. CITRIS 2011
To Enable Synthesis, En Infomatics
(En= Environmental, Ecological, Epidemiological, Economic,
Engineering, Equitable, Ethical,… )
To gather large volumes of data (e.g. Flu Trends on
google)
To browse and explore large volumes of diverse types of
data
For conceptual synthesis of diverse types of data (e.g.
satellite data, museum samples, anthropological data)
Cloud computing, Display wall, …
Source: Inez Fung
95. CITRIS 2011
CITRIS Infrastructure can Support the
Critical Tasks
Data
Structure
Analytics
Service
Delivery
Colleges of Engineering, Letters and Sciences, LBNL, CSE
Computational science support in data, analytics, visualization and delivery
CITRIS, CoE, LBNL, Letters and Sciences, Public Health
Deep content knowledge for target systems
CITRIS
Platform for multi-campus, multidisciplinary, public/private collaboration
Haas, I-School
Services science and innovation
97
96. CITRIS 2011
Energy &
Environment
Health Care
New Media
Developing
Economies
Intelligent
Infrastructure
An Initial Look at Opportunities
98
California
Telehealth
Network
Statewide Energy Network California Watershed
Traffic
Earthquake
Demand & Response
Urban Metabolism
Food
Water
Health
Ecosystem
Art, Music, Film & Culture
Immersive Visualization
Human Interaction
Cloud & HPC
Intensive Computing
Massive Scale Visual-Data
Analytics
Interactive Visualization
Simulation and Modeling
Services Science
Computational Science
& Engineering
(i4Science)
97. CITRIS 2011
California can improve the standard of living by applying
predictive simulation to critical problems facing the state
How can California respond to
rapidly changing environment,
climate change, economic forces
and demographics?
water resources, public health,
natural disasters, energy
conservation
Predictive simulation can be used to
understand the impacts of policy
choices
create new technologies
and industries
find more efficient solutions to
California‘s pressing infrastructure
problems
98. CITRIS 2011
“Sustainable California” –
a return to the Golden State
100
building upon massive scale datasets
– streaming and static
employing sophisticated analytics, with
an emphasis on modeling and simulation
A statewide initiative to create integrated
systems using advanced computational
science and engineering
99. CITRIS 2011
Strategic Partnership/Major Funding
Funding will support i4Science researchers to expand and accelerate
the on-going funded research, and to accelerate transfer of
technology to our sponsors.
A "core group" of enabling computational scientists would stand at the
heart of the center, and they will both cross-pollinate expertise
among projects and provide great leverage in winning large
federally-supported projects.
All this broad expertise would be available to our sponsors, allowing
them to better design their own hardware and software for the larger
CSE community.
This would enable our sponsors to be ―first to market‖ and/or ―first to
lead‖ with important scientific and technological capabilities,
breakthrough ideas, new hardware-software and potentially
expanding the impact of both of our science and of Sponsors‘ tools.
100. CITRIS 2011
i4Science: Funding
In order to realize our vision: funding for 5 years for the following three
objectives:
To support highly interdisciplinary research and focus mainly on
applications that within 3–5 years would be scalable from 1000s to millions
of processors and/or users, and from tera to exa-scale computing using
emerging computing technologies—HPC and Cloud.
To support many-core and accelerator-based computing: Emerging many-
core architectures—graphics processing units (GPUs), and many-core
CPUs
For technical and scientific support to accelerate the path to scientific
solution and to house and upgrade the current cloud infrastructure/initiative,
computing resources, and visualization lab.
Mobile devices, Mobile Cloud, and Cloud Infrastructure will be the device/tools
of choice for delivery of services.
101. CITRIS 2011
Computational Science and Engineering
(CSE) @ CITRIS
i4Science at CITRIS and LBNL
(inspired, imagination, innovation, impact)
inspired by Science
Bounded by our imagination
innovation through Technology
Create Social impact
102. CITRIS 2011
An Introduction to CITRIS
Paul K. Wright, Director
Center for Information Technology in the
Interest of Society (CITRIS)
103. CITRIS 2011
CITRIS:
An Institute of Science & Innovation
10
History:
Created in 1999 by then-Governor Grey Davis
Research Focus:
• Energy
• Health Care
• Intelligent Infrastructure
• New Media
Berkeley
Davis
Merced
Santa Cruz
104. CITRIS 2011
The CITRIS Mission
―CITRIS creates information technology solutions
for many of our most pressing social, environmental
and health care challenges. CITRIS was created to
‗shorten the pipeline‘ between world class
laboratory research and the societal impact of
technology through its rapid transfer to established
companies, and the creation of start-ups and whole
industries.‖
106
106. CITRIS 2011
CITRIS Strategy:
“Big Bets”
10
Focus on a small
number of topics:
• Multi-disciplinary
• Multi-campus
• Tangible social impact
• Potential to lead
internationally
107. CITRIS 2011
Big Bets
Delivering ―Quality Healthcare Everywhere‖
for Californians
Improving access and reducing disparities by
creating a statewide, trusted ―medical-grade‖ network.
109
108. CITRIS 2011
Big Bets
Systems for ―Adaptive Cities‖
Building water, air, traffic and noise management systems
for cities that support resilience to climate change and acute
disruptive events
110
109. CITRIS 2011
Big Bets
Equipping the ―Smart Grid‖
Designing and building information technology, sensors
and controls for facilities‘ ―Smart Grid‖
111
110. CITRIS 2011
Recent Developments
California Energy Commission grant to instrument
and monitor gas pipeline conditions
Green Millennium project at Sutardja Dai Hall
monitors energy usage, controls lighting
Novel printed batteries head
toward commercialization
113. CITRIS 2011
Proposed Strategy:
Civic Engagement
11
Collect
Data
Build
Understanding
Motivate and
Reason
Share Opinions
Call to Action
“Data & Democracy”
Academia
Government
Business
Public
114. CITRIS 2011
CITRIS Strategy & Tactics
Domains &
“Big Bets”
Delivery of
Health Care
Intelligent Infrastructure/
Adaptive Cities
Energy
Delivering ―Quality
Healthcare Everywhere‖
Modeling and Decision
Support for Water
Equipping and Analyzing
the Smart Grid
IT Tools &
Processes
Instrument
& Sense
Extract
Data
Analyze
Data
Visualize &
Communicate
Civic
Engagement
―Data & Democracy‖
Collect
Data
Build
Understanding
Share
Opinions
Motivate
& Reason
Call to
Action
116
115. CITRIS 2011
CITRIS Leadership
Dr. Paul K. Wright, Director
Heidi Hallett, Director of Finance and Administration
Dr. Hugh Aldridge, Director of Development and
Communications
Steven DeMello, Director of Health Care
Dr. Masoud Nikravesh, Director for Computational
Science and Engineering
117
116. CITRIS 2011
Fulfilling Our Mission
Transforming ideas into
technologies and services that
impact California and the world
118