Computational Science and Engineering at Berkeley Jim Demmel EECS Math Departments www cs berkeley edu demmel 20 Jan 2009 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 New Buildings to house research activities CITRIS and CRT Cloud computing RadLab Outline New Designated Emphasis in CSE Goals Participants 112 faculty so far Resources and Opportunities Course Structure A few research projects Designated 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 edu 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 Participating Departments 2 2 faculty by primary affiliation courses 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 Health 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 campuses Resources 2 4 Space CITRIS Building early 2009 staff offices seminar machine room 1400 sq ft LBNL CRT Building 2011 New Building to Support CSE at UC Berkeley and LBNL 112M 32K ft2 computer room 45K ft2 office space Move in 2011 Resources 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 courses Course 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 development EECS 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 Approximation Other 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 Optimization Other 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 Analysis Other 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 Simulation Other 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 Geological Fluid Mechanics Other Computational Courses 5 6 Electrical Engineering and Computer Sciences EECS 219A Computer Aided Verification of Electronic Circuits and Systems Engineering E 266A Finite Difference Methods for Fluid Dynamics E 266B Spectral Methods for Fluid Dynamics Material Science and Engineering MSE 215 Introduction to Computational Materials Science Mechanical Engineering ME 280A Introduction to the Finite Element Method ME 280B Finite Element Methods in Nonlinear Continua ME 287 Multiscale Modeling the Design of New Materials ME 290D Solid Modeling Other Computational Courses 6 6 Molecular and Cell Biology C 246 Topics in Computational Biology and Genomics MCB 262 Computational Neuroscience Nuclear Engineering NUC 255 Numerical Methods for Reactor Analysis Physics C 203 Computational Nanoscience Plant and Microbial Biology PMB 200B Genomics and Computational Biology More on possible new courses 1 6 Possible obstacles to students Long prerequisite chains Important material spread over multiple courses Repetition of basic material in multiple courses 23 faculty identified following needs opportunities New 3 unit survey course in numerical methods 23 new 1 unit classes with this as prerequisite Segmented courses where one can take subset for fewer units www cs berkeley edu demmel IGERT06 Curriculum pdf More on possible new courses 2 6 Numerical Methods Course 3 units Boil down Math221 Ma228AB other material into one Possible text by Heath UIUC Linear
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