Russ Miller Director, Center for Computational Research UB Distinguished Professor, Computer Science & Engineering Senior Research Scientist, Hauptman-Woodward.

Slides:



Advertisements
Similar presentations
O AK R IDGE N ATIONAL L ABORATORY U. S. D EPARTMENT OF E NERGY Center for Computational Sciences Cray X1 and Black Widow at ORNL Center for Computational.
Advertisements

Click Here to Begin. Objectives Purchasing a PC can be a difficult process full of complex questions. This Computer Based Training Module will walk you.
Commodity Computing Clusters - next generation supercomputers? Paweł Pisarczyk, ATM S. A.
♦ Commodity processor with commodity inter- processor connection Clusters Pentium, Itanium, Opteron, Alpha GigE, Infiniband, Myrinet, Quadrics, SCI NEC.
Beowulf Supercomputer System Lee, Jung won CS843.
Contact: Hirofumi Amano at Kyushu 40 Years of HPC Services In this memorable year, the.
Mark L. Green, Ph.D. Head of Cyberinfrastructure GRASE Bioinformatics and the Open Science Grid University at Buffalo The State University of New York.
Information Technology Center Introduction to High Performance Computing at KFUPM.
LinkSCEEM-2: A computational resource for the development of Computational Sciences in the Eastern Mediterranean Mostafa Zoubi SESAME SESAME – LinkSCEEM.
Presented by: Yash Gurung, ICFAI UNIVERSITY.Sikkim BUILDING of 3 R'sCLUSTER PARALLEL COMPUTER.
SAN DIEGO SUPERCOMPUTER CENTER at the UNIVERSITY OF CALIFORNIA; SAN DIEGO IEEE Symposium of Massive Storage Systems, May 3-5, 2010 Data-Intensive Solutions.
Parallel Programming Henri Bal Rob van Nieuwpoort Vrije Universiteit Amsterdam Faculty of Sciences.
NPACI Panel on Clusters David E. Culler Computer Science Division University of California, Berkeley
MD240 - Management Information Systems Sept. 13, 2005 Computing Hardware – Moore's Law, Hardware Markets, and Computing Evolution.
University at Buffalo The State University of New York Russ Miller, Director Center for Computational Research FSEC Status Report 2/2003 “Top 10 Worldwide.
Chapter Chapter Goals Describe the layers of a computer system Describe the concept of abstraction and its relationship to computing Describe.
Parallel Programming Henri Bal Vrije Universiteit Faculty of Sciences Amsterdam.
Chapter 1 The Big Picture Chapter Goals Describe the layers of a computer system Describe the concept of abstraction and its relationship to computing.
CPSC 695 Future of GIS Marina L. Gavrilova. The future of GIS.
July 21, 2005Interdisciplinary Modeling of Acquatic Ecosystems, Lake Tahoe 1 Advanced Computing in Environmental Sciences ACES Vanda Grubišić Desert Research.
Virtual Machines for HPC Paul Lu, Cam Macdonell Dept of Computing Science.
Arquitectura de Sistemas Paralelos e Distribuídos Paulo Marques Dep. Eng. Informática – Universidade de Coimbra Ago/ Machine.
Real Parallel Computers. Modular data centers Background Information Recent trends in the marketplace of high performance computing Strohmaier, Dongarra,
Chapter 1 The Big Picture Chapter Goals Describe the layers of a computer system Describe the concept of abstraction and its relationship to computing.
F1031 COMPUTER HARDWARE CLASSES OF COMPUTER. Classes of computer Mainframe Minicomputer Microcomputer Portable is a high-performance computer used for.
Dr. Sylvia Oliver PLTW Biomedical Science Affiliate Director WSU Spokane
Edge Based Cloud Computing as a Feasible Network Paradigm(1/27) Edge-Based Cloud Computing as a Feasible Network Paradigm Joe Elizondo and Sam Palmer.
+ CS 325: CS Hardware and Software Organization and Architecture Introduction.
Mark L. Green, Ph.D. Head of Cyberinfrastructure Center for Computational Research and New York State Grid-Cyberinstitute University at Buffalo The State.
1 CHAPTER 2 COMPUTER HARDWARE. 2 The Significance of Hardware  Pace of hardware development is extremely fast. Keeping up requires a basic understanding.
Russ Miller Director, Center for Computational Research UB Distinguished Professor, Computer Science & Engineering Senior Research Scientist, Hauptman-Woodward.
ScotGrid: a Prototype Tier-2 Centre – Steve Thorn, Edinburgh University SCOTGRID: A PROTOTYPE TIER-2 CENTRE Steve Thorn Authors: A. Earl, P. Clark, S.
Dr. Russ Miller, Director Professor of Computer Science & Engineering, UB Senior Research Scientist, Hauptman-Woodward Inst. Visualization.
Russ Miller Center for Computational Research Computer Science & Engineering SUNY-Buffalo Hauptman-Woodward Medical Inst IDF: Multi-Core Processing for.
Chapter 1 The Big Picture.
Cyberinfrastructure for Distributed Rapid Response to National Emergencies Henry Neeman, Director Horst Severini, Associate Director OU Supercomputing.
Outline Course Administration Parallel Archtectures –Overview –Details Applications Special Approaches Our Class Computer Four Bad Parallel Algorithms.
Russ Miller Center for Computational Research Computer Science & Engineering SUNY-Buffalo Hauptman-Woodward Medical Inst CCR User Advisory Board Meeting.
The Red Storm High Performance Computer March 19, 2008 Sue Kelly Sandia National Laboratories Abstract: Sandia National.
Rensselaer Why not change the world? Rensselaer Why not change the world? 1.
High Performance Computing Processors Felix Noble Mirayma V. Rodriguez Agnes Velez Electric and Computer Engineer Department August 25, 2004.
ScotGRID:The Scottish LHC Computing Centre Summary of the ScotGRID Project Summary of the ScotGRID Project Phase2 of the ScotGRID Project Phase2 of the.
21 st October 2002BaBar Computing – Stephen J. Gowdy 1 Of 25 BaBar Computing Stephen J. Gowdy BaBar Computing Coordinator SLAC 21 st October 2002 Second.
1 Center for Computational Research, SUNY-Buffalo 2 Computer Science & Engineering SUNY-Buffalo 3 Hauptman-Woodward Medical Research Institute BnP on the.
CCS Overview Rene Salmon Center for Computational Science.
Russ Miller & Mark Green Center for Computational Research Computer Science & Engineering SUNY-Buffalo Hauptman-Woodward Medical Inst The Center for Computational.
“Grids and eScience” Mark Hayes Technical Director - Cambridge eScience Centre GEFD Summer School 2003.
O AK R IDGE N ATIONAL L ABORATORY U.S. D EPARTMENT OF E NERGY Probe Plans and Status SciDAC Kickoff July, 2001 Dan Million Randy Burris ORNL, Center for.
Building the e-Minerals Minigrid Rik Tyer, Lisa Blanshard, Kerstin Kleese (Data Management Group) Rob Allan, Andrew Richards (Grid Technology Group)
NSF, NYS, Dell, HP An Overview of CSNY, the Cyberinstitute of the State of New York at buffalo Russ Miller CSNY Computer Sci & Eng, SUNY-Buffalo Hauptman-Woodward.
EVLA Data Processing PDR Scale of processing needs Tim Cornwell, NRAO.
Computing Environment The computing environment rapidly evolving ‑ you need to know not only the methods, but also How and when to apply them, Which computers.
Parallel Computing.
VAPoR: A Discovery Environment for Terascale Scientific Data Sets Alan Norton & John Clyne National Center for Atmospheric Research Scientific Computing.
Building Cyberinfrastructure into a University Culture EDUCAUSE Live! March 30, 2010 Curt Hillegas Director, TIGRESS HPC Center Princeton University 1.
Beginning Snapshots Chapter 0. C++ An Introduction to Computing, 3rd ed. 2 Objectives Give an overview of computer science Show its breadth Provide context.
University at BuffaloThe State University of New York CCR Center for Computational Research Grid Computing Overview Coordinate Computing Resources, People,
Parallel Programming Henri Bal Vrije Universiteit Faculty of Sciences Amsterdam.
Discovering Computers 2010
Computer System Evolution. Yesterday’s Computers filled Rooms IBM Selective Sequence Electroinic Calculator, 1948.
Northwest Indiana Computational Grid Preston Smith Rosen Center for Advanced Computing Purdue University - West Lafayette West Lafayette Calumet.
University at Buffalo The State University of New York Russ Miller, Director Center for Computational Research Supercomputing and Visualization “Top 10.
Russ Miller Director, Center for Computational Research UB Distinguished Professor, Computer Science & Engineering Senior Research Scientist, Hauptman-Woodward.
Creating Grid Resources for Undergraduate Coursework John N. Huffman Brown University Richard Repasky Indiana University Joseph Rinkovsky Indiana University.
Introduction to Data Analysis with R on HPC Texas Advanced Computing Center Feb
Russ Miller & Mark Green Center for Computational Research & Computer Science & Engineering SUNY-Buffalo Hauptman-Woodward Medical Inst GT’04 Panel: Storage.
Buffalo Center of Excellence in Bioinformatics
LinkSCEEM-2: A computational resource for the development of Computational Sciences in the Eastern Mediterranean Mostafa Zoubi SESAME Outreach SESAME,
Walt Johnson Director, Rochester Center of Excellence in Data Science.
Recap: introduction to e-science
Presentation transcript:

Russ Miller Director, Center for Computational Research UB Distinguished Professor, Computer Science & Engineering Senior Research Scientist, Hauptman-Woodward Medical Inst The Center for Computational Research University at Buffalo The State University of New York

University at BuffaloThe State University of New York CCR Center for Computational Research Introduction Computers play an important role in your life There are many careers involving computers even for people without expertise in science or engineering

University at BuffaloThe State University of New York CCR Center for Computational Research Computers are used in Many Professions Science and Engineering  Physics, Chemistry, Biology  Aerospace, Mechanical, Civil, Environmental Architecture  Building and Bridge Design Computer Animation  Cartoons, Movies, Advertising  Games (Playstation, Nintendo, PC games, etc) Graphic Arts/Design Computer Programmers

University at BuffaloThe State University of New York CCR Center for Computational Research Gordon E. Moore Co-Founder of Intel Predicted (1965/75) that transistor density would double every 12/18 months Processing speed doubling every 18 mos. Disk storage doubling every 12 mos. Aggregate bandwidth doubling every 9 mos. Gordon E. Moore A computation that took 1 year to run on a PC in 1985 would only take 5 mins to run on a PC today! A computation that runs in 2 hours on a PC today would have taken 24 years to run on a PC in 1985! A computation that took 1 year to run on a PC in 1985 would only take 5 mins to run on a PC today! A computation that runs in 2 hours on a PC today would have taken 24 years to run on a PC in 1985! A computation that took 1 year to run on a PC in 1985 would only take 5 mins to run on a PC today! A computation that runs in 2 hours on a PC today would have taken 24 years to run on a PC in 1985!

University at BuffaloThe State University of New York CCR Center for Computational Research Beowulf Clusters Industry Standard Hardware and Software  PC-Based Components (Intel or AMD)  Ethernet or Myrinet  Linux, PBS, MPI  “Commodity Off-The-Shelf” (COTS) Operates as a Single System Rivals Performance of Traditional Supercomputer at a Fraction of the Price Thomas Sterling Caltech CCR

University at BuffaloThe State University of New York CCR Center for Computational Research Supercomputers Fastest computers at any point in time Used to solve large and complex problems Machines 1000 times faster than a PC Machines 10 times slower than what you need to solve the most challenging problems Seymour Cray “Seymour Cray is the Thomas Edison of the supercomputing industry” - Larry L. Smarr Cray

University at BuffaloThe State University of New York CCR Center for Computational Research Fastest Computers YearMachProcsGFlopsYearMachProcsGFlops 1976Cray Cray T3D Cray X-MP Fujitsu VPP Cray Hitachi SR Cray Y- MP Intel ASCI-R TMC CM SGI ASCI-BM TMC CM IBM ASCI-W , NEC E.S ,960 A 1-year calc in 1980 = 5.4 sec today A 1990 HPC = a laptop today

University at BuffaloThe State University of New York CCR Center for Computational Research Growth of Peak Performance PC

University at BuffaloThe State University of New York CCR Center for Computational Research Earth Simulator 40TFlops Peak Homogeneous, Centralized, Proprietary, Vector Expensive! CFD-Weather, Climate, Earthquake 640 NEC SX/6 Nodes (5120 CPUs) Footprint = 4 tennis courts $6M/year in power

University at BuffaloThe State University of New York CCR Center for Computational Research Center for Computational Research Snapshot Raptor Image High-Performance Computing and High-End Visualization  110 Research Groups in 27 Depts  13 Local Companies  10 Local Institutions External Funding  $111M External Funding  $15.5M as lead  $99.9M in support  $41.8M Vendor Donations  Total Leveraged: $0.5B Deliverables  350+ Publications  Software, Media, Algorithms, Consulting, Training, CPU Cycles…

University at BuffaloThe State University of New York CCR Center for Computational Research SGI Origin3800  64 Processors (400 MHz)  32 GB RAM; 400 GB Disk SGI Altix 3700  64 Processors (ITF2; 1.3GHz)  256 GB RAM; 2.3 TB Disk Apex Bioinformatics System  Sun V880 (3), 6800, 280R (2), PIIIs  Sun 3960: 7 TB Disk Storage HP/Compaq SAN  75 TB Disk; 190 TB Tape IBM RS/6000 SP  78 Heterogeneous Processors Sun Microsystems Cluster  80 Heterogeneous Processors  Myrinet SGI Intel Linux Cluster  150 PIII Processors (1 GHz)  Myrinet Major CCR Resources Dell Linux Cluster: #22  #25  #38  600 P4 Processors (2.4 GHz)  600 GB RAM; 40 TB Disk; Myrinet Dell Linux Cluster: #187  #368  off  4036 Processors (PIII 1.2 GHz)  2TB RAM; 160TB Disk; 16TB SN  Restricted Use (Skolnick)

University at BuffaloThe State University of New York CCR Center for Computational Research Grid Computing Overview Coordinate Computing Resources, People, Instruments in Dynamic Geographically-Distributed Multi-Institutional Environment Treat Computing Resources like Commodities  Compute cycles, data storage, instruments  Human communication environments No Central Control; No Trust Imaging Instruments Computational Resources Large-Scale Databases Data Acquisition Analysis Advanced Visualization Thanks to Mark Ellisman

University at BuffaloThe State University of New York CCR Center for Computational Research Advanced CCR Data Center (ACDC) Computational Grid Overview 300 Dual Processor 2.4 GHz Intel Xeon RedHat Linux TB Scratch Space Joplin: Compute Cluster 75 Dual Processor 1 GHz Pentium III RedHat Linux TB Scratch Space Nash: Compute Cluster 9 Single Processor Dell P4 Desktops School of Dental Medicine 13 Various SGI IRIX Processors Hauptman-Woodward Institute 25 Single Processor Sun Ultra5s Computer Science & EngineeringCrosby: Compute Cluster SGI Origin MHz IP35 IRIX m 360 GB Scratch Space 9 Dual Processor 1 GHz Pentium III RedHat Linux GB Scratch Space Mama: Compute Cluster 16 Dual Sun Blades 47 Sun Ultra5 Solaris GB Scratch Space Young: Compute Cluster T1 Connection Note: Network connections are 100 Mbps unless otherwise noted. 19 IRIX, RedHat, & WINNT Processors CCR RedHat, IRIX, Solaris, WINNT, etc Expanding ACDC: Grid Portal 4 Processor Dell GHz Intel Xeon RedHat Linux GB Scratch Space 1 Dual Processor 250 MHz IP30 IRIX 6.5 Fogerty: Condor Flock Master

University at BuffaloThe State University of New York CCR Center for Computational Research BCOEB Medical/Dental Network Connections

University at BuffaloThe State University of New York CCR Center for Computational Research Medical/Dental BCOEB Network Connections (New)

University at BuffaloThe State University of New York CCR Center for Computational Research Antibiotics & Supercomputers Result: New, better drugs in shorter time Vancomycin solved with SnB (UB/HWI)  SnB: “Top Algorithms of the Century”  “Antibiotic of Last Resort”  Original molecular structure required 5 months  (Re)solved in a single day on CCR’s supercomputers  Current Efforts: Grid, Collaboratory, Intelligent Learning

University at BuffaloThe State University of New York CCR Center for Computational Research Molecular Structure Determination via Shake-and-Bake SnB Software by UB/HWI  “Top Algorithms of the Century” Worldwide Utilization Critical to Rational Drug Design Important Link in Structural Biology Vancomycin: Antibiotic of Last Resort Current Effort  Grid  Collaboratory  Intelligent Learning

University at BuffaloThe State University of New York CCR Center for Computational Research Objective: Provide a 3-D mapping of the atoms in a crystal. Procedure: 1. Isolate a single crystal. 2. Perform the X-Ray diffraction experiment. 3. Determine molecular structure that agrees with diffration data. X-Ray Crystallography

University at BuffaloThe State University of New York CCR Center for Computational Research Shake-and-Bake Method: Dual-Space Refinement FFT Trial Phases Solutions ? Phase Refinement Tangent Formula Reciprocal SpaceReal Space “Shake”“Bake” Phase Refinement FFT -1 Parameter Shift Density Modification (Peak Picking) (LDE) Trial Structures Shake-and-Bake Structure Factors DeTitta, Hauptman, Miller, Weeks “Top Algorithms of the 20 th Century”

University at BuffaloThe State University of New York CCR Center for Computational Research Number of Atoms in Structure ,000 10, ,000 Conventional Direct Methods Shake-and-Bake Multiple Isomorphous Replacement Se-Met Se-Met with Shake-and-Bake Vancomycin 190kDa ? ? Phasing and Structure Size

University at BuffaloThe State University of New York CCR Center for Computational Research Groundwater Flow Modeling Regional-scale modeling of groundwater flow and contaminant transport (Great Lakes Region) Ability to include all hydrogeologic features as independent objects Current work is based on Analytic Element Method Key features:  High precision  Highly parallel  Object-oriented programming  Intelligent user interface  GIS facilitates large-scale regional applications Utilized 10,661 CPU days (32 CPU years) of computing in past year on CCR’s commodity clusters

University at BuffaloThe State University of New York CCR Center for Computational Research Risk Mitigation Integrate information from several sources  Simulation results  Remote sensing  GIS data Develop realistic 3D models of geophysical mass flows Present information at user appropriate resolutions

University at BuffaloThe State University of New York CCR Center for Computational Research Protein Folding Ability of proteins to perform biological function is attributed to their 3-D structure. Protein folding problem refers to the challenge of predicting 3-D structure from amino-acid sequence. Solving the protein folding problem will impact drug design.

University at BuffaloThe State University of New York CCR Center for Computational Research CCR Visualization Resources Fakespace ImmersaDesk R2  Portable 3D Device Tiled-Display Wall  20 NEC projectors: 15.7M pixels  Screen is 11’  7’  Dell PCs with Myrinet2000 Access Grid Node  Group-to-Group Communication  Commodity components SGI Reality Center 3300W  Dual Barco’s on 8’  4’ screen VREX VR-4200 Stereo Imaging Projector  Portable projector works with PC

University at BuffaloThe State University of New York CCR Center for Computational Research CCR Visualization Resources Fakespace ImmersaDesk R2  Portable 3D Device Tiled-Display Wall  20 NEC projectors: 15.7M pixels  Screen is 11’  7’  Dell PCs with Myrinet2000 Access Grid Node  Group-to-Group Communication  Commodity components SGI Reality Center 3300W  Dual Barco’s on 8’  4’ screen VREX VR-4200 Stereo Imaging Projector  Portable projector works with PC

University at BuffaloThe State University of New York CCR Center for Computational Research CCR Visualization Projects Peace Bridge Visualization Project  CCR, Niagara College of Canada, Bergmann, IBC, eMedia Inc, Parsons Engineering StreetScenes ® StreetScenes ®  Virtual Reality (VR) software solution for 3D visualization of surface traffic Buffalo Niagara Medical Campus  CCR, IBC Digital Inc. Emergency response / GIS – Earthquake  CCR Williamsville Toll Barrier  CCR, TVGA Accident Reconstruction  CCR, TVGA Biomedical Imaging  CCR

University at BuffaloThe State University of New York CCR Center for Computational Research Visualization in Planning Studies Bergmann Associates : Indian Street Bridge - Florida

University at BuffaloThe State University of New York CCR Center for Computational Research Williamsville Toll Barrier Improvement Project Initial Photo Match incorporating real and computer-generated components

University at BuffaloThe State University of New York CCR Center for Computational Research Real-time Simulation  Key Receptor Sites  Multiple Viewpoints  Fully Interactive  Aerial Photography

University at BuffaloThe State University of New York CCR Center for Computational Research Accident Reconstruction

University at BuffaloThe State University of New York CCR Center for Computational Research The Accident

University at BuffaloThe State University of New York CCR Center for Computational Research Accident Animation (Driver’s View)

University at BuffaloThe State University of New York CCR Center for Computational Research 3D Medical Visualization App Collaboration with Children’s Hospital  Leading miniature access surgery center Application reads data output from a CT Scan Visualize multiple surfaces and volumes Export images, movies or CAD representation of model

University at BuffaloThe State University of New York CCR Center for Computational Research Multiple Sclerosis Project Collaboration with Buffalo Neuroimaging Analysis Center (BNAC)  Developers of Avonex, drug of choice for treatment of MS MS Project examines patients and compares scans to healthy volunteers

University at BuffaloThe State University of New York CCR Center for Computational Research Multiple Sclerosis Project Compare caudate nuclei between MS patients and healthy controls Looking for size as well as structure changes  Localized deformities  Spacing between halves Able to see correlation between disease progression and physical structure changes

University at BuffaloThe State University of New York CCR Center for Computational Research StreetScenes ® StreetScenes ® Demo StreetScenes ® StreetScenes ® is a Virtual Reality (VR) software solution for 3D visualization of surface traffic 3D model of proposed soccer stadium in Rochester StreetScenes ® Used StreetScenes ® to import output file from Synchro traffic simulation

University at BuffaloThe State University of New York CCR Center for Computational Research Select WNY Synergies IBC Digital  Gov. Pataki Visit  Peace Bridge (Early & Current)  Buffalo-Niagara Medical Campus  Compute Cycles for Animation Bergmann Associates  Peace Bridge (Current)  NYS Thruway Toll Plaza Azar & More  Reenactment of 1901 Pan Am Exhibition  PHSCologram & Courses  Avid Digital Editing Niagara College  Start up  Peace Bridge (Current) Hauptman-Woodward Medical Research Institute  Computing  Collaboratory The Children’s Hospital of Buffalo  Medical Visualization Veridian  Battlespace Management

University at BuffaloThe State University of New York CCR Center for Computational Research Outreach HS Summer Workshops in Computational Science  Chemistry, Bioinformatics, Visualization  HS Students Participate Each Summer for 2 weeks  Project-Based Program

University at BuffaloThe State University of New York CCR Center for Computational Research Outreach Pilot HS Program in Computational Science  Year long extracurricular activity at Mount St. Mary’s, City Honors, and Orchard Park HS  Produce next generation scientists and engineers  Students learn Perl, SQL, Bioinformatics  $50,000 startup funding from Verizon, PC’s from HP

University at BuffaloThe State University of New York CCR Center for Computational Research Media Coverage

University at BuffaloThe State University of New York CCR Center for Computational Research Outreach

University at BuffaloThe State University of New York CCR Center for Computational Research Contact Information