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USC - CS - 596
CSCI596 Assignment 2Message Passing Interface Due: September 24 (Wed), 2008, at the class In this assignment, you will write your own global summation program (equivalent to using MPI_Send and MPI_Recv. Your program should run on P = 2l processors (l
USC - CS - 596
CSCI596 Assignment 3Parallel Computation of Due: October 1 (Wed), 2008 Part I: Programming Write a message passing interface (MPI) program, global_pi.c, to compute the value of based on the lecture note on Parallel Computation of Pi and using the g
USC - CS - 596
CSCI596 Assignment 4Parallel Molecular Dynamics Due: October 8 (Wed), 2008 The purpose of this assignment is to get familiar with the message-passing scheme used in the parallel molecular dynamics (MD) program, pmd.c, and asynchronous messages in the
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CSCI596 Assignment 5: Molecular Dynamics Animation Due: October 22 (Wed), 2008 Combine md.c and atomv.c to write a C/OpenGL program that animates molecular dynamics (MD) simulation in real time. (Follow the lecture note on Visualizing Molecular Dynam
USC - CS - 596
CSCI596 Assignment 6: Parallel Quantum Dynamics Due: November 3 (Mon), 2008 (at the class) Parallelize the one-dimensional quantum dynamics (QD) simulation program qd1.c, using MPI. Use spatial decomposition, so that processor p [0, P-1] (P is the n
USC - CS - 596
CSCI596 (Scientific Computing and Visualization) Assignment 7 Hybrid MPI+OpenMP Parallel Molecular Dynamics Due: November 12 (Wed), 2008 (at the class) 1. Write a hybrid MPI+OpenMP parallel molecular dynamics (MD) program (name it hmd.c), starting fr
USC - CS - 596
CSCI596 (Scientific Computing and Visualization) Final Project Anything Related to What You Have Learned in the Class Due: December 17 (Wed), 2008 Submit the following project by Wednesday, December 17. In addition, at 3:30-4:50pm on Wednesday, Decem
USC - CS - 596
Guidelines for the Final Project I. II. Programming Critical review (>2-3 pages) Dont repeat what the paper says. 1. 2. 3. 4. * III. Problem: Whats the problem? Method: How to solve it? Results: Bottom line? So what? Critique: Flaw? Improvement (how
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84Computer Physics Communications 63 (1991) 8494 North-HollandVisualizing quantum scattering on the CM-2 supercomputerJohn L. Richardson1Received 2 February 1990 Thinking Machines Corporation, 245 First Street, Cambridge, MA 02142-1214, USAWe
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CSCI653: High Performance Computing & SimulationsAiichiro NakanoCollaboratory for Advanced Computing & Simulations Department of Computer Science Department of Physics & Astronomy Department of Chemical Engineering & Materials Science University of
USC - CS - 653
Molecular Dynamics I: PrinciplesBasics of the molecular-dynamics (MD) method1-3 are described, along with corresponding data structures in program, md.c.Newtons Second Law of MotionTRAJECTORY, COORDINATE, AND ACCELERATION Physical system = a set
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Minimal Complex Analysis Complex function: A mapping from a complex variable z = x + iy (i = f(z) C."1) to a complex numberDifferentiation: A complex function f(z) at z is differentiable if the quantity ! f (z + "z) # f (z)"zconverges to a
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JOURNALOF COMPUTATIONALPHYSICS73, 315-348 (1987)A Fast Algorithmfor ParticleANDSimulations*L. GREENCARDV. ROKHLINDepartment of Computer Science, Yale Lnipersiry, New Haven, Connecticut 06520 Received June 10. 1986; revised February
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ELSEYIER2s -/.-I@Computer Physics Communications Computer Physics Communications ( 1997)59-69 104Parallel multilevel preconditioned conjugate-gradient approach to variable-charge molecular dynamicsAiichiro Nakano Depurtment of Computer Scienc
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Computer Physics Communications 153 (2003) 445461 www.elsevier.com/locate/cpcScalable and portable implementation of the fast multipole method on parallel computers Shuji Ogata a , Timothy J. Campbell b , Rajiv K. Kalia c,d , Aiichiro Nakano c,d,
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Reversiblemultipletime scale moleculardynamicsM. Tuckermar?) G. J. Martynaand B. J. BerneDepartment of Chemistry, Columbia University, New York, New York 10027 Department of Chemistry, University of Pennsylvania, Philadelphia, Pennsylvani
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Computer Physics CommunicationsELSEVIERComputer Physics Communications 83 (1994) 197214Multiresolution molecular dynamics algorithm for realistic materials modeling on parallel computersAiichiro Nakano, Rajiv K. Kalia, Priya VashishtaConcurrent
USC - CS - 653
Message Passing Interface (MPI) ProgrammingMPI (Message Passing Interface) is a standard message passing system that enables us to write and run applications on parallel computers. In 1992, MPI Forum was formed to develop a portable message passing
USC - CS - 653
OpenMP ProgrammingAiichiro NakanoCollaboratory for Advanced Computing & Simulations Department of Computer Science Department of Physics & Astronomy Department of Chemical Engineering & Materials Science University of Southern California Email: ana
USC - CS - 653
Hybrid MPI+OpenMP Parallel MDAiichiro NakanoCollaboratory for Advanced Computing & Simulations Department of Computer Science Department of Physics & Astronomy Department of Chemical Engineering & Materials Science University of Southern California
USC - CS - 653
Parallel Molecular DynamicsThis chapter explains the example parallel MD program, pmd.c, in detail.Spatial Decomposition Spatial decomposition: The physical system to be simulated is partitioned into subsystems of equal volume. Processors in a pa
USC - CS - 653
Parallel Molecular DynamicsAiichiro NakanoCollaboratory for Advanced Computing & Simulations Department of Computer Science Department of Physics & Astronomy Department of Chemical Engineering & Materials Science University of Southern California E
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Scalability Metrics for Parallel Molecular DynamicsParallel EfficiencyWe define the efficiency of a parallel program running on P processors to solve a problem of size W. Let T(W, P) be the execution time of this parallel program. Speed of the prog
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Anton, a Special-Purpose Machine for Molecular Dynamics SimulationDavid E. Shaw, Martin M. Deneroff, Ron O. Dror, Jeffrey S. Kuskin, Richard H. Larson, John K. Salmon, Cliff Young, Brannon Batson, Kevin J. Bowers, Jack C. Chao, Michael P. Eastwood,
USC - CS - 653
A Fast, Scalable Method for the Parallel Evaluation of Distance-Limited Pairwise Particle InteractionsDAVID E. SHAWD. E. Shaw Research and Development, LLC and Center for Computational Biology and Bioinformatics, Columbia University, 120 W. 45th S
USC - CS - 653
Divide-and-Conquer Parallelization ParadigmDivide-and-Conquer Simulation Algorithms Divide-and-conquer (DC) algorithms: Recursively partition a problem into subprogram of roughly equal size. If subprogram can be solved independently, there is a pos
USC - CS - 653
Divide-&-Conquer ParallelismAiichiro NakanoCollaboratory for Advanced Computing & Simulations Department of Computer Science Department of Physics & Astronomy Department of Chemical Engineering & Materials Science University of Southern California
USC - CS - 653
Computational Materials Science 38 (2007) 642652 www.elsevier.com/locate/commatsciA divide-and-conquer/cellular-decomposition framework for million-to-billion atom simulations of chemical reactionsAiichiro Nakano a,*, Rajiv K. Kalia a, Ken-ichi No
USC - CS - 653
DE NOVO ULTRASCALE ATOMISTIC SIMULATIONS ON HIGH-END PARALLEL SUPERCOMPUTERSAiichiro Nakano Rajiv K. Kalia1 Ken-ichi Nomura1 Ashish Sharma1, 2 Priya Vashishta1 Fuyuki Shimojo1,3 4 Adri C. T. van Duin 4 William A. Goddard, III 5 Rupak Biswas Deepak S
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Load BalancingAiichiro NakanoCollaboratory for Advanced Computing & Simulations Department of Computer Science Department of Physics & Astronomy Department of Chemical Engineering & Materials Science University of Southern California Email: anakano
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Lanczos Method for EigensystemsAiichiro NakanoCollaboratory for Advanced Computing & Simulations Department of Computer Science Department of Physics & Astronomy Department of Chemical Engineering & Materials Science University of Southern Californ
USC - CS - 653
Supplementary Derivations for the Lanczos-Algorithm LectureSpectral representation The eigenvalues and eigenvectors satisfyn n$ Aij q (" ) = #" qi(" ) = $ qi(" ) #%&%" , jj=1%=1()(1)where "#$ = 1 ($ = #); 0 ($ % #). Define an orthogona
USC - CS - 653
C3P 913June 1990Performance of Dynamic Load Balancing Algorithms for Unstructured Mesh CalculationsRoy D. WilliamsConcurrent Supercomputing Facility California Institute of Technology Pasadena, CaliforniaAbstract If a nite element mesh has a
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SIAM J. SCI. COMPUT. Vol. 20, No. 1, pp. 359392c 1998 Society for Industrial and Applied MathematicsA FAST AND HIGH QUALITY MULTILEVEL SCHEME FOR PARTITIONING IRREGULAR GRAPHSGEORGE KARYPIS AND VIPIN KUMAR Abstract. Recently, a number of researc
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Applied Numerical Mathematics 52 (2005) 133152www.elsevier.com/locate/apnumNew challenges in dynamic load balancingKaren D. Devine a, , Erik G. Boman a , Robert T. Heaphy a , Bruce A. Hendrickson a , James D. Teresco b,1 , Jamal Faik c , Joseph E
USC - CS - 653
Hypergraph-based Dynamic Load Balancing for Adaptive Scientic ComputationsUmit V. Catalyurek, Erik G. Boman, Karen D. Devine, Doruk Bozda , Robert Heaphy, g and Lee Ann Riesen Ohio State University Sandia National Laboratories Dept. of Biomedical
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Optimizing Molecular DynamicsAiichiro NakanoCollaboratory for Advanced Computing & Simulations Department of Computer Science Department of Physics & Astronomy Department of Chemical Engineering & Materials Science University of Southern California
USC - CS - 653
Improving Memory Hierarchy Performance for Irregular Applications*John Mellor-Crummeyt, T Department of Computer Science, MS 132 Rice University 6100 Main Houston, TX 77005 David Whalleyz, Ken Kennedy?Cjohnmc,ken}@cs.rice.edu AbstractThe gap betw
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Metrics and Models for Reordering TransformationsMichelle Mills StroutMathematics and Computer Science Division Argonne National Laboratory Argonne, IL 60439 USAPaul D. HovlandMathematics and Computer Science Division Argonne National Laboratory
USC - CS - 653
SIAM REVIEW Vol. 46, No. 1, pp. 345c 2004 Society for Industrial and Applied MathematicsRecursive Blocked Algorithms and Hybrid Data Structures for Dense Matrix Library SoftwareErik Elmroth Fred Gustavson Isak Jonsson Bo K gstrom aAbstract. Ma
USC - CS - 653
Lattice-Boltzmann (LB) Fluid Simulation on a Playstation3 (PS3) ClusterKen-ichi Nomura, Liu Peng & Richard SeymourCollaboratory for Advanced Computing & Simulations Dept. of Computer Science, Dept. of Physics & Astronomy, Dept. of Chemical Engineer
USC - CS - 653
SCOP3A Rough Guide to Scientic Computing On the PlayStation 3Technical Report UT-CS-07-595 Version 0.1by Alfredo Buttari Piotr Luszczek Jakub Kurzak Jack Dongarra George Bosilca Innovative Computing Laboratory University of Tennessee Knoxville Ap
USC - CS - 653
Parallel Lattice Boltzmann Flow Simulation on a Low-cost PlayStation3 ClusterInternational Journal of Computational Science 1992-6669 (Print) 1992-6677 (Online) www.gip.hk/ijcs 2008 Global Information Publisher (H.K) Co., Ltd. All rights reserved.
USC - CS - 653
CTWatchISSN 1555-9874 VOLUME 3 NUMBER 1 FEBRUARY 2007Coming Multicore Revolution and its ImpactJACK DONGARRAGUEST EDITORthe Promise and Perils of theCTWatch Quarterly February 2007IntroductionOver the past few years, the familiar idea t
USC - CS - 653
Teraflops Research ChipMoores Law Motivates Multi-Core10945nm 45nm2007107More, better transistors Continued benefits from Moores Law+ More cores1051032Teraflops of performance operating on Terabytes of dataEntertainmentWhat is
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The Landscape of Parallel Computing Research: A View from BerkeleyKrste Asanovic Ras Bodik Bryan Christopher Catanzaro Joseph James Gebis Parry Husbands Kurt Keutzer David A. Patterson William Lester Plishker John Shalf Samuel Webb Williams Katheri
USC - CS - 653
Accelerating Molecular Modeling Applications with Graphics ProcessorsJOHN E. STONE,1* JAMES C. PHILLIPS,1* PETER L. FREDDOLINO,1,2* DAVID J. HARDY,1* LEONARDO G. TRABUCO,1,2 KLAUS SCHULTEN1,2,32Beckman Institute, University of Illinois at Urbana-
USC - CS - 653
Harvesting graphics power for MD simulationsarXiv:0709.3225v1 [cond-mat.other] 20 Sep 2007J.A. van Meel , A. Arnold , D. Frenkel , S.F. Portegies Zwart , R.G. Belleman February 2, 2008Abstract We discuss an implementation of molecular dynamics (M
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1 Quantum Dynamics BasicsIn this chapter, we will simulate the dynamics of a particle, such as an electron, which follows the law of quantum mechanics [1]. Basics of the quantum-dynamics (QD) method [2-5] are described, along with corresponding data
USC - CS - 653
Quantum Dynamics BasicsSpectral MethodIn this chapter, we will solve the time-dependent Schrdinger equation using another numerical technique, i.e., the spectral method, which is based on Fourier transformation.1.Discrete Fourier TransformCons
USC - CS - 653
Parallelizing Quantum DynamicsAiichiro NakanoCollaboratory for Advanced Computing & Simulations Department of Computer Science Department of Physics & Astronomy Department of Chemical Engineering & Materials Science University of Southern Californi
USC - CS - 653
Multiresolution MethodsAiichiro NakanoCollaboratory for Advanced Computing & Simulations Department of Computer Science Department of Physics & Astronomy Department of Chemical Engineering & Materials Science University of Southern California Email
USC - CS - 653
13.10 Wavelet Transforms591The splitting point b must be chosen large enough that the remaining integral over (b, ) is small. Successive terms in its asymptotic expansion are found by integrating by parts. The integral over (a, b) can be done usi
USC - CS - 653
Multiresolution Analysis Using WaveletsHAAR BASIS Consider a one dimensional image on 2 pixels: I[2] = (6, 2). We decompose this information into a smooth and a detailed components. The smooth component is an average of the two intensities:s= (6
USC - CS - 653
19.6 Multigrid Methods for Boundary Value Problems871standard tridiagonal algorithm. Given u n , one solves (19.5.36) for un+1/2 , substitutes on the right-hand side of (19.5.37), and then solves for u n+1 . The key question is how to choose the
USC - CS - 653
Computer Physics CommunicationsELSEVIER Computer Physics Communications 83 (1994) 181196Massively parallel algorithms for computational nanoelectronics based on quantum molecular dynamicsAiichiro Nakano, Priya Vashishta, Rajiv K. KaliaConcurrent
USC - CS - 653
Computer Physics Communications 167 (2005) 151164 www.elsevier.com/locate/cpcEmbedded divide-and-conquer algorithm on hierarchical real-space grids: parallel molecular dynamics simulation based on linear-scaling density functional theoryFuyuki Shi
USC - CS - 653
! ! !43 2 1
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Hybrid Particle-Continuum SimulationAiichiro NakanoCollaboratory for Advanced Computing & Simulations Department of Computer Science Department of Physics & Astronomy Department of Chemical Engineering & Materials Science University of Southern Cal