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Computing in Science and Engineering, Volume 11
Volume 11, Number 1, January-February 2009
- Isabel Beichl:
Begin at the Beginning. 3 - Sergey Fomel
, Jon F. Claerbout:
Guest Editors' Introduction: Reproducible Research. 5-7 - David L. Donoho, Arian Maleki, Inam Ur Rahman, Morteza Shahram, Victoria Stodden:
Reproducible Research in Computational Harmonic Analysis. 8-18 - Randall J. LeVeque
Python Tools for Reproducible Research on Hyperbolic Problems. 19-27 - Roger D. Peng, Sandrah P. Eckel
Distributed Reproducible Research Using Cached Computations. 28-34 - Victoria Stodden:
The Legal Framework for Reproducible Scientific Research: Licensing and Copyright. 35-40 - Roberto Olivares-Amaya, Romelia Salomón-Ferrer, William A. Lester Jr., Carlos Amador-Bedolla
Creating a GUI for Zori, a Quantum Monte Carlo Program. 41-47 - Francesco Belletti, Maria Cotallo, Andres Cruz Flor, Luis Antonio Fernandez
Janus: An FPGA-Based System for High-Performance Scientific Computing. 48-58 - Daniel Tofan:
Drawing Chemical Equipment with Adobe Illustrator, Part 2: Creating and Modifying Shapes. 59-61 - Mark Sich:
Interactive Holography: Pursuit of a Dream. 62-65 - Mohammad Saadatfar
Computer Simulation of Granular Materials. 66-74 - Julie Mullen, Nadya Travinin Bliss, Robert Bond, Jeremy Kepner, Hahn Kim, Albert Reuther:
High-Productivity Software Development with pMatlab. 75-79 - Francis Sullivan:
That Was Then, This Is Now. 80
Volume 11, Number 2, March-April 2009
- Isabel Beichl:
We'll Take Care of All Your Problems. 3-4 - Jeffrey C. Carver:
First International Workshop on Software Engineering for Computational Science & Engineering. 7-11 - Michael Jay Schillaci:
Total Tomography. 12-13 - Alan C. Calder
Advances in Computational Astrophysics. 15-17 - Dean M. Townsley:
Treating Unresolvable Flame Physics in Simulations of Thermonuclear Supernovae. 18-23 - Ann S. Almgren
A New Low Mach Number Approach in Astrophysics. 24-33 - Eric S. Myra, F. Douglas Swesty
Stellar Core Collapse: A Case Study in the Design of Numerical Algorithms for Scalable Radiation Hydrodynamics. 34-44 - Enrico Vesperini, David M. Goldberg
The Beowulf Analysis Symbolic INterface: Interactive Parallel Data Analysis for Everyone. 45-51 - George Stantchev, Derek Juba, William Dorland, Amitabh Varshney
Using Graphics Processors for High-Performance Computation and Visualization of Plasma Turbulence. 52-59 - Daniel Tofan:
Drawing Chemical Equipment with Adobe Illustrator, Part 3: Gradients, Retouching, and More Objects. 60-61 - Konstantin Läufer
Putting a Slug to Work. 62-68 - Jianwei Ma, Gerlind Plonka
Computing with Curvelets: From Image Processing to Turbulent Flows. 72-80 - Carlos Augusto Dietrich, Carlos Eduardo Scheidegger, João Luiz Dihl Comba
Marching Cubes without Skinny Triangles. 82-87 - Charles Day:
"Compute? No, Mr. Bond, I Expect You to Die!". 88
Volume 11, Number 3, May-June 2009
- Douglass E. Post:
The Promise of Science-Based Computational Engineering. 3-4 - Jonathan E. Guyer, Daniel Wheeler, James A. Warren
FiPy: Partial Differential Equations with Python. 6-15 - Wen-mei W. Hwu, Christopher I. Rodrigues, Shane Ryoo, John A. Stratton:
Compute Unified Device Architecture Application Suitability. 16-26 - Yang Zhang, Edward A. Luke:
Concurrent Composition Using Loci. 27-35 - Héctor Vargas, José Sánchez Moreno
Web-Enabled Remote Scientific Environments. 36-46 - Hong Tang, Yusheng Dou, Mingze Bai:
Molecular Response to Ultrashort Laser Pulses. 47-53 - Volodymyr V. Kindratenko
Novel Computing Architectures. 54-57 - Joel Falcou:
Parallel Programming with Skeletons. 58-63 - Peter A. Knipp, S. Raj Chaudhury:
Postprocessing in Automated Grading Systems, Part 1. 64-67 - Joel E. Tohline, Jinghya Ge, Wesley Even, Erik Anderson:
A Customized Python Module for CFD Flow Analysis within VisTrails. 68-73 - Isabel Beichl, Francis Sullivan:
Cut It Out!. 74-79 - Norman Chonacky:
A Modern Tower of Babel. 80
Volume 11, Number 4, July-August 2009
- Jim X. Chen:
A Personal Reflection. 3 - Rubin H. Landau, José E. Castillo:
Computational Science Research and Graduate Studies at San Diego State University. 5 - Norman Chonacky:
Computation in Modern Physics. 6-7 - George K. Thiruvathukal:
Introducing Computing Now. 8-10 - Francis Sullivan:
Guest Editor's Introduction: Cloud Computing for the Sciences. 10-11 - James L. Johnson:
SQL in the Clouds. 12-28 - Jonathan D. Cohen:
Graph Twiddling in a MapReduce World. 29-41 - Thomas L. Sterling, Dylan Stark:
A High-Performance Computing Forecast: Partly Cloudy. 42-49 - Stergios Papadimitriou, Constantinos Terzidis, Seferina Mavroudi
Scientific Scripting for the Java Platform with jLab. 50-60 - Michael A. Gray:
Getting Started with GPU Programming. 61-64 - Mahyar Madadi
3D Imaging and Simulation of Elastic Properties of Porous Materials. 65-73 - You-Zhou Xie, Lin Yang, Li-Fen Chen, Pei-Dong Dai, Tian-Yu Zhang, Jim X. Chen, Zheng-Min Wang:
A Virtual Platform for Auditory Organ Mechanics Analysis. 74-80 - Peter A. Knipp, S. Raj Chaudhury:
Postprocessing in Automated Grading Systems, Part 2. 82-85 - Konrad Hinsen
The Promises of Functional Programming. 86-90 - Paul Henning, Andrew B. White Jr.:
Trailblazing with Roadrunner. 91-95 - Charles Day:
Vets 1, Docs 1. 96
Volume 11, Number 5, September-October 2009
- Isabel Beichl:
Where the Rubber Meets the Road. 3 - William H. Press
That Perfect Algorithm for Any Occasion. 5-6 - Thom H. Dunning:
Guest Editor's Introduction: Science and Engineering on Petascale Computers. 7-9 - Peter M. Kogge:
The Challenges of Petascale Architectures. 10-16 - William D. Gropp
Software for Petascale Computing Systems. 17-21 - Sharon C. Glotzer, Bob Panoff, Scott A. Lathrop:
Challenges and Opportunities in Preparing Students for Petascale Computational Science and Engineering. 22-27 - Thom H. Dunning, Klaus Schulten, Jeroen Tromp
Science and Engineering in the Petascale Era. 28-37 - Daniel Muller
JHelioviewer: Visualizing Large Sets of Solar Images Using JPEG 2000. 38-47 - Diane Kelly, Daniel Hook, Rebecca Sanders:
Five Recommended Practices for Computational Scientists Who Write Software. 48-53 - Ernst P. Mücke:
Quickhull: Computing Convex Hulls Quickly. 54-57 - Jonathan Cohen, Michael Garland:
Solving Computational Problems with GPU Computing. 58-63 - Peter A. Knipp, S. Raj Chaudhury:
Postprocessing in Automated Grading Systems, Part 3. 64-67 - Konstantin Läufer
The Promises of Typed, Pure, and Lazy Functional Programming: Part II. 68-75 - Gerassimos Orkoulas:
An Overview of Monte Carlo Methods for Fluid Simulation. 76-87 - Attila Gyulassy, Luis Gustavo Nonato, Peer-Timo Bremer, Cláudio T. Silva, Valerio Pascucci
Robust Topology-Based Multiscale Analysis of Scientific Data. 88-95 - Charles Day:
Advice from Uncle Charles. 96
Volume 11, Number 6, November-December 2009
- Hans-Joachim Bungartz, Donald J. Estep, Ulrich Rüde, Peter Turner:
Computational Science and Engineering Education: SIAM's Perspective. 5-11 - George K. Thiruvathukal:
Computational Thinking … and Doing. 4 - Greg Wilson
Software Engineering and Computational Science. 12-13 - Jeffrey C. Carver:
Report: The Second International Workshop on Software Engineering for CSE. 14-19 - Sarah A. Killcoyne
Managing Chaos: Lessons Learned Developing Software in the Life Sciences. 20-29 - Stuart R. Faulk, Eugene Loh, Michael L. Van de Vanter, Susan Squires, Lawrence G. Votta:
Scientific Computing's Productivity Gridlock: How Software Engineering Can Help. 30-39 - Daniel Hook, Diane Kelly:
Mutation Sensitivity Testing. 40-47 - Steven L. Eddins:
Automated Software Testing for Matlab. 48-55 - Field G. Van Zee, Ernie Chan, Robert A. van de Geijn
The libflame Library for Dense Matrix Computations. 56-63 - Steve M. Easterbrook, Timothy C. Johns:
Engineering the Software for Understanding Climate Change. 65-74 - Thomas C. McMail:
Next-Generation Research and Breakthrough Innovation. 76-84 - Charles Day:
Lessons from Little Dorrit. 104 - Konrad Hinsen
Essential Tools: Version Control Systems. 84-91 - Amr M. Bayoumi
Scientific and Engineering Computing Using ATI Stream Technology. 92-97 - Werner Benger:
On Safari in the File Format Jungle - Why Can't You Visualize My Data? 98-102 - Larry Engelhardt:
Descriptions and Comparisons of Monte Carlo Algorithms. 103
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