'Circuit simulation' presentation slideshows

CS 267 Sources of Parallelism and Locality in Simulation

CS 267 Sources of Parallelism and Locality in Simulation. James Demmel www.cs.berkeley.edu/~demmel/cs267_Spr05. Parallelism and Locality in Simulation. Real world problems have parallelism and locality: Many objects operate independently of others.

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ECE 546 Introduction

ECE 546 Introduction. Spring 2014. Jose E. Schutt-Aine Electrical & Computer Engineering University of Illinois jschutt@emlab.uiuc.edu. Future System Needs and Functions. Digital Wireless. Auto. MEMS. Analog, RF. Consumer. Computer. High-speed Digital. High bandwidth.

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CS 267 Sources of Parallelism and Locality in Simulation Lecture 4

CS 267 Sources of Parallelism and Locality in Simulation Lecture 4. James Demmel www.cs.berkeley.edu/~demmel/cs267_Spr13. Parallelism and Locality in Simulation. Parallelism and data locality both critical to performance Recall that moving data is the most expensive operation

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Daniel Gruner, Ahmed Sayed, Ahmed Al Tanany, Khaled Bathich,

691 views • 46 slides

Daniel Gruner, Ahmed Sayed, Ahmed Al Tanany, Khaled Bathich,

656 views • 46 slides

L26: Power Estimation

L26: Power Estimation. Battery technology. Microprocessor power dissipation. Power(W). Alpha 21164. Alpha 21264. 50. P III 500. 45. P II 300. 40. 35. Alpha21064 200. 30. 25. P6 166. 20. P5 66. 15. P-PC604 133. 10. i486 DX2 66. P-PC601 50. i486 DX25. 5. i386 DX 16.

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Activity-Sensitive Flip-Flop and Latch Selection for Reduced Energy

Activity-Sensitive Flip-Flop and Latch Selection for Reduced Energy. Seongmoo Heo, Ronny Krashinsky, Krste Asanovi ? MIT - Laboratory for Computer Science http://www.cag.lcs.mit.edu/scale ARVLSI March 15, 2001. Flip-Flop and Latch (collectively timing elements).

571 views • 35 slides

CS 267 Applications of Parallel Computers Lecture 10: Sources of Parallelism and Locality

CS 267 Applications of Parallel Computers Lecture 10: Sources of Parallelism and Locality. James Demmel http://www.cs.berkeley.edu/~demmel/cs267_Spr99. Recap: Parallel Models and Machines. Machine models Programming models shared memory - threads distributed memory - message passing

480 views • 33 slides

Professor Kuh and Us

Professor Kuh and Us. Chung- Kuan Cheng CSE Department UC San Diego La Jolla, CA 92130 ckcheng@ucsd.edu. Advisor, Mentor, Supporter . Advisor: 1981-1984 Host: 1990 Investor: CLK CAD 1998 Technical Advisor: CLK CAD Co-Investigator: Micro Program 1991-2008 Coauthor: 1983-2009

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On the Analysis of Parasitic Quantum Effects in Classical MOS Circuits

On the Analysis of Parasitic Quantum Effects in Classical MOS Circuits. Frank Felgenhauer , Simon Fabel, Wolfgang Mathis Institute of Electromagnetic Theory and Microwave Technique University of Hannover, Germany. Outline. Introduction Simulation Strategy Summary. Introduction.

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Parallel Flexible Iterative Solvers for Sparse Equation Systems from Circuit Simulation

Parallel Flexible Iterative Solvers for Sparse Equation Systems from Circuit Simulation. Dr.-Ing. Achim Basermann , M. Nordhausen * , Dr. Uwe Jaekel, NEC Europe Ltd. C & C Research Laboratories (CCRLE), Sankt Augustin, Germany. E-mail: {basermann,jaekel}@ccrl-nece.de

385 views • 29 slides

George Watson Introduction to PBL at UD and Web-based Simulations for Active Learning Josh Duke Problems in Environmenta

UD Faculty Showcase: Technology and Active Learning. George Watson Introduction to PBL at UD and Web-based Simulations for Active Learning Josh Duke Problems in Environmental Conflict Charlene Hamilton and Ann Rucinski Using Case Studies for Authentic Learning in Dietetics Internship.

375 views • 21 slides

Efficient Preconditioners for Large-Scale Parallel Circuit Simulation

Efficient Preconditioners for Large-Scale Parallel Circuit Simulation. SIAM Computational Science & Engineering 2011 February 28 th , 2011 Heidi K. Thornquist Sandia National Laboratories. Outline. Background / Motivation Simulation Challenges Efficient Preconditioning Strategies

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LOFAR Antenna Systems

554 views • 18 slides

Genetic Algorithms

Genetic Algorithms. Sushil J. Louis Evolutionary Computing Systems LAB Dept. of Computer Science University of Nevada, Reno http://www.cs.unr.edu/~sushil/. Search techniques. Hill Climbing/Gradient Descent You are getting closer OR You are getting further away from correct combination

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MODERN WP2 Review Meeting preparation

MODERN WP2 Review Meeting preparation. Task 2.5 paolo .pavan@unimore.it. T2.5 Task (2/1). Task T2.5: PV-aware compact modelling

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Rich Liu, Macronix

Update on P rocess I ntegration, D evices, & S tructures ( PIDS ) Dec. 5 , 2012 Hsinchu, Taiwan. Rich Liu, Macronix. PIDS Roster. C=Chair, CC=Co-Chair, VC=Vice-Chair. Outline PIDS Mission and Technical Sub-Groups Logic Memory: DRAM Memory: Non-Volatile Memory Reliability

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Student: Peter Doyle Supervisor: Prof. Gerard Hurley Ignacio Lope

Design, control and implementation of inverters topologies applied to domestic induction heating. Student: Peter Doyle Supervisor: Prof. Gerard Hurley Ignacio Lope. Final Year Project Presentation. Topics to be discussed:.

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Distributed Computation: Circuit Simulation

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Development of Front-End Electronics for Picosecond Resolution TOF Detectors

Development of Front-End Electronics for Picosecond Resolution TOF Detectors Fukun Tang, Enrico Fermi Institute, The University of Chicago

162 views • 1 slides