Computational Science and Engineering at Berkeley4 Big EventsOutlineDesignated Emphasis (DE) in CSEParticipating Departments (1/2) ( # faculty by “primary affiliation”, # courses )Participating Departments (2/2) ( # faculty by “primary affiliation”, # courses )Resources (1/4)Resources (2/4)Resources (3/4)Resources (4/4)Course StructureEECS Courses (so far)Other Computational Courses (1/6)Other Computational Courses (2/6)Other Computational Courses (3/6)Other Computational Courses (4/6)Other Computational Courses (5/6)Other Computational Courses (6/6)More on possible new courses (1/6)More on possible new courses (2/6)More on possible new courses (3/6)More on possible new courses (4/6)More on possible new courses (5/6)More on possible new courses (6/6)Possible Research Topics (1/2)Possible Research Topics (2/2)Extra SlidesChallenges/opportunities for using Clouds for HPCManaging the DESlide 30Slide 31Slide 32Slide 33Slide 34Slide 35Slide 36Example Course – CS267Math Courses (so far)Stat Courses (so far)IEOR Courses (so far)Computational Science and Engineering at BerkeleyJim DemmelEECS & Math Departmentswww.cs.berkeley.edu/~demmel20 Jan 20094 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•New Buildings to house research activities•CITRIS and CRT•Cloud computing•RadLabOutline•New “Designated Emphasis” in CSE–Goals–Participants (112 faculty – so far)–Resources and Opportunities–Course Structure•A few research projectsDesignated Emphasis (DE) in CSE•New “graduate minor” – started July 1, 2008•Motivation–Widespread need to train PhD students in CSE–Opportunities for collaboration, across campus and at LBNL–18 (20) departments, 85 (112) faculty signed up (so far)•Graduate students participate by–Getting accepted into existing department/program–Taking CSE course requirements–Qualifying examination with CSE component–Thesis with CSE component–Receive “PhD in X with a DE in CSE”–Details at cse.berkeley.eduParticipating 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)•Integrative Biology (1,0)•Materials Science and Engineering (2,1)•Mathematics (15, 4)•Mechanical Engineering (9, 6)•Neuroscience (7,1)•Nuclear Engineering (2,1)•Physics (1,1)•Political Science (2,0)•Statistics (5, 11)•New: Biostatistics, Public HealthParticipating Departments (2/2) ( # faculty by “primary affiliation”, # courses )Resources (1/4)•Executive Director Masoud Nikravesh•Money–Annual for staff support–One time, for course development–CITRIS •Research initiation funds•Access to corporate partners•GSI support, broadcast to other campusesResources (2/4)•Space–CITRIS Building - early 2009•staff offices, seminar, machine room (1400 sq ft)–LBNL CRT Building - 2011Resources (3/4)•Existing computing resources–EECS clusters - www.millennium.berkeley.edu•Getting old–LBNL / NERSC•CS267 class accounts•Start-up allocations on supercomputers–Needs to be of potential interest to DOE•Potential new resources–Yahoo, …Resources (4/4)•LBNL–Besides space and cycles: Expert CSE advice, collaborators, short courses–Internships for students (grad or undergrad)•MSRI–Workshops, short coursesCourse Structure•3 kinds of students, course requirements–CS , Math, “Applications”•Each kind of student has 3 course requirements in other two fields–Goal: enforce cross-disciplinary training–Non-CS & Non-Math students:•1 or 2 Math courses from list•1 or 2 EECS courses from list•Other classes from Math, Stat, IEOR–Math & CS students: substitute 1 or 2 courses from “applied” department for 1 or 2 inside•May distinguish EECS and CS students•We have $ to support new course developmentEECS Courses (so far)•CS267 – Applications of Parallel Computers•CS270 – Combinatorial Algs. & Data Structures•CS274 – Computational Geometry•CS280 – Computer Vision•CS281A – Statistical Learning Theory•CS281B – Learning and Decision Making•CS284 – Geometric Design and Modeling•CS285 – Solid Modeling and Fabrication•CS294-10 – Visualization•EECS225AB– Digital Signal and Image Processing•EECS227A – Convex Optimization•EECS228B – Convex ApproximationOther Computational Courses (1/6)•Mathematics–Ma 221 - Numerical Linear Algebra–Ma 228AB - Numerical Solution of Differential Equations–Ma 220 - Probabilistic Methods–New course being developed•Industrial Engineering and Operations Research –IEOR 261: Experimenting with Simulated Systems–IEOR 262AB: Mathematical Programming–IEOR 264: Computational Optimization–IEOR 269 Integer Programming and Combinatorial OptimizationOther Computational Courses (2/6)•Statistics –Stat 215AB: Statistical Models: Theory and Application–Stat 230A: Linear Models–Stat 232: Experimental Design–Stat 240: Nonparametric and Robust Methods–Stat 241A: Statistical Learning Theory (same as CS281A)–Stat 241B: Advanced Topics in Learning and Decision Making (same as CS281B)–Stat 244: Statistical Computing–Stat 245AB: Biostatistical Methods–Stat 246: Statistical Genetics–Stat 248: Time Series AnalysisOther Computational Courses (3/6)•Astronomy–Astro 202: Astrophysical Fluid Dynamics–Astro 204: Numerical Techniques in Astronomy–Astro 255: Computational Methods in Theoretical Astrophysics•Bioengineering–BE 243: Computational Methods in Biology•Chemistry–Chem 220AB: Statistical Mechanics–Chem 221AB: Advanced Quantum Mechanics–Chem 295: Molecular SimulationOther Computational Courses (4/6)•Civil and Environmental Engineering–CEE 200A: Environmental Fluid Mechanics–CEE 200B: Numerical Modeling of Environmental Flows–CEE 221: Nonlinear Structural Analysis–CEE 222: Finite Element Methods–CEE 224: Computer Aided Engineering–CEE 229: Structural System Reliability–CEE 233: Computational Mechanics–CEE 234: Computational Inelasticity•Earth and Planetary Science–EPS 204: Elastic Wave Propagation–EPS 206: Geophysical Inverse Methods–EPS 236:
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