6. Heterogeneous Computing Workshop 1997: Geneva, Switzerland

@proceedings{DBLP:conf/hcw/1997,
  title     = {6th Heterogeneous Computing Workshop (HCW '97), 1 April 1997,
               Geneva, Switzerland},
  booktitle = {Heterogeneous Computing Workshop},
  publisher = {IEEE Computer Society},
  year      = {1997},
  isbn      = {0-8186-7879-8},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

System Support for Heterogeneous Computing

• M. Cermele, Michele Colajanni, G. Necci:
  Dynamic load balancing of distributed SPMD computations with explicit message-passing. 2-16
  
• Alexander Reinefeld, Ranieri Baraglia, Thomas Decker, Jörn Gehring, Domenico Laforenza, Friedhelm Ramme, Thomas Römke, Jens Simon:
  The MOL project: an open, extensible metacomputer. 17-31
  
• Dmitry Arapov, Alexey Kalinov, Alexey L. Lastovetsky, Ilya Ledovskih, Ted Lewis:
  A programming environment for heterogenous distributed memory machines. 32-45
  
• Terry Disz, Michael E. Papka, Rick L. Stevens:
  UbiWorld: an environment integrating virtual reality, supercomputing, and design. 46-
  

Case Study

• Thomas H. Einstein:
  Mercury Computer Systems' modular heterogeneous RACE(R) multicomputer. 60-
  

Mapping and Scheduling Systems

• Mihai G. Sirbu, Dan C. Marinescu:
  A scheduling expert advisor for heterogeneous environments. 74-82
  
• JunSeong Kim, David J. Lilja:
  Exploiting multiple heterogeneous networks to reduce communication costs in parallel programs. 83-95
  
• John R. Budenske, Ranga S. Ramanujan, Howard Jay Siegel:
  On-line use of off-line derived mappings for iterative automatic target recognition tasks and a particular class of hardware platforms. 96-
  

Case Study

• Paul Messina, Sharon Brunett, Dan M. Davis, Thomas D. Gottschalk, D. Curkendall, L. Ekroot, Howard Jay Siegel:
  Distributed interactive simulation for synthetic forces. 112-
  

Mapping and Scheduling Algorithms

• Min Tan, Howard Jay Siegel:
  A stochastic model of a dedicated heterogeneous computing system for establishing a greedy approach to developing data relocation heuristics. 122-134
  
• Muhammad Kafil, Ishfaq Ahmad:
  Optimal task assignment in heterogeneous computing systems. 135-146
  
• Mary Mehrnoosh Eshaghian, Ying-Chieh Wu:
  Mapping heterogeneous task graphs onto heterogeneous system graphs. 147-
  

Case Study

• Glenn O. Ladd Jr.:
  Practical issues in heterogeneous processing systems for military applications. 162-
  

Performance Evaluation and Reliability and Security

• Yan Alexander Li, John K. Antonio:
  Estimating the execution time distribution for a task graph in a heterogeneous computing system. 172-184
  
• Albert R. McSpadden, Noé Lopez-Benitez:
  Stochastic Petri nets applied to the performance evaluation of static task allocations in heterogeneous computing environments. 185-194
  
• Piyush Maheshwari, Jinsong Ouyang:
  Supporting fault-tolerance in heterogeneous distributed applications. 195-207
  
• Marina C. Chen, James R. Cowie:
  The hopping ruse. 208-
  

Case Study

• Viorel Morariu, Mathew Cunningham, Mark Letterman:
  A performance and portability study of parallel applications using a distributed computing testbed. 222-
  

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