Scientific Programming, Volume 15

Volume 15, Number 1, 2007

• Boleslaw K. Szymanski:
  Fortran programming language and Scientific Programming: 50 Years of mutual growth. 1-2
  
• W. Van Snyder:
  Scientific programming in Fortran. 3-8
  
• John Reid, Robert W. Numrich:
  Co-arrays in the next Fortran Standard. 9-26
  
• Charles D. Norton, Viktor K. Decyk, Boleslaw K. Szymanski, Henry Gardner:
  The transition and adoption to modern programming concepts for scientific computing in Fortran. 27-44
  
• Hans P. Zima:
  From FORTRAN 77 to locality-aware high productivity languages for peta-scale computing. 45-65
  

Volume 15, Number 2, 2007

• Charles D. Norton:
  High performance computing for mission-enabling space applications. 71-73
  
• Joseph C. Jacob, Peter Eisenhardt, David Makovoz:
  Parallel MOPEX: Computing mosaics of large-area Spitzer surveys on a cluster computer. 75-81
  
• Joseph Wang, Yong Cao, Raed Kafafy, Viktor K. Decyk:
  Electric propulsion plume simulations using parallel computer. 83-94
  
• Richard Madison, Abhinandan Jain, Christopher Lim, Mark W. Maimone:
  Performance characterization of a rover navigation algorithm using large-scale simulation. 95-105
  
• Chris Hill, Dimitris Menemenlis, Robert Ciotti, Chris Henze:
  Investigating solution convergence in a global ocean model using a 2048-processor cluster of distributed shared memory machines. 107-115
  

Volume 15, Number 3, 2007

• Jan Lemeire, Erik F. Dirkx, Frederik Verbist:
  Causal analysis for performance modeling of computer programs. 121-136
  
• Thomas Rauber, Gudula Rünger:
  Mixed task and data parallel executions in general linear methods. 137-155
  
• Jonas Koko:
  Vectorized Matlab codes for linear two-dimensional elasticity. 157-172
  
• Vladimir Korkhov, Dmitry Vasyunin, Adianto Wibisono, Adam Belloum, Márcia A. Inda, Marco Roos, Timo M. Breit, Louis O. Hertzberger:
  VLAM-G: Interactive data driven workflow engine for Grid-enabled resources. 173-188
  

Volume 15, Number 4, 2007

• David Walker, Ewa Deelman:
  Dynamic computational workflows: Discovery, optimisation and scheduling. 191-192
  
• Andrew Stephen McGough, Asif Akram, Li Guo, Marko Krznaric, Luke Dickens, Dave Colling, Janusz Martyniak, Roger Powell, Paul Kyberd, Chenxi Huang, Constantinos Kotsokalis, Panayotis Tsanakas:
  GRIDCC: A Real-time Grid workflow system with QoS. 213-234
  
• David W. Walker, Lican Huang, Omer F. Rana, Yan Huang:
  Dynamic service selection in workflows using performance data. 235-247
  
• Gurmeet Singh, Karan Vahi, Arun Ramakrishnan, Gaurang Mehta, Ewa Deelman, Henan Zhao, Rizos Sakellariou, Kent Blackburn, Duncan Brown, Stephen Fairhurst, David Meyers, G. Bruce Berriman, John Good, Daniel S. Katz:
  Optimizing workflow data footprint. 249-268
  
• Eddie Al-Shakarchi, Pasquale Cozza, Andrew Harrison, Carlo Mastroianni, Matthew S. Shields, Domenico Talia, Ian Taylor:
  Distributing workflows over a ubiquitous P2P network. 269-281
  
• Emir M. Bahsi, Emrah Ceyhan, Tevfik Kosar:
  Conditional workflow management: A survey and analysis. 283-297