8. Heterogeneous Computing Workshop 1999: San Juan, Puerto Rico

Comparisons of Mapping Heuristics

• Haluk Topcuoglu, Salim Hariri, Min-You Wu:
  Task Scheduling Algorithms for Heterogeneous Processors. 3-14
  
• Tracy D. Braun, Howard Jay Siegel, Noah Beck, Ladislau Bölöni, Muthucumaru Maheswaran, Albert I. Reuther, James P. Robertson, Mitchell D. Theys, Bin Yao, Debra A. Hensgen, Richard F. Freund:
  A Comparison Study of Static Mapping Heuristics for a Class of Meta-tasks on Heterogeneous Computing Systems. 15-29
  
• Muthucumaru Maheswaran, Shoukat Ali, Howard Jay Siegel, Debra A. Hensgen, Richard F. Freund:
  Dynamic Matching and Scheduling of a Class of Independent Tasks onto Heterogeneous Computing Systems. 30-
  

Design Tools

• Aleksandar M. Bakic, Matt W. Mutka, Diane T. Rover:
  An On-Line Performance Visualization Technology. 47-59
  
• Mauro Migliardi, Vaidy S. Sunderam:
  Heterogeneous Distributed Virtual Machines in the Harness Metacomputing Framework. 60-72
  
• Yutaka Ishikawa, Atsushi Hori, Hiroshi Tezuka, Shinji Sumimoto, Toshiyuki Takahashi, Hiroshi Harada:
  Parallel C++ Programming System on Cluster of Heterogeneous Computers. 73-82
  
• Alpay Duman, Debra A. Hensgen, David St. John, Taylor Kidd:
  Are CORBA Services Ready to Support Resource Management Middleware for Heterogeneous Computing? 83-
  

Modeling and Analysis

• Michael A. Iverson, Füsun Özgüner, Lee C. Potter:
  Statistical Prediction of Task Execution Times Through Analytic Benchmarking for Scheduling in a Heterogeneous Environment. 99-111
  
• Noé Lopez-Benitez, Ja-Young Hyon:
  Simulation of Task Graph Systems in Heterogeneous Computing Environments. 112-124
  
• Mohammad Banikazemi, Jayanthi Sampathkumar, Sandeep Prabhu, Dhabaleswar K. Panda, P. Sadayappan:
  Communication Modeling of Heterogeneous Networks of Workstations for Performance Characterization of Collective Operations. 125-
  

Task Assignment and Scheduling

• Raju D. Venkataramana, N. Ranganathan:
  Multiple Cost Optimization for Task Assignment in Heterogeneous Computing Systems Using Learning Automata. 137-145
  
• Ladislau Bölöni, Dan C. Marinescu:
  On the Robustness of Metaprogram Schedules. 146-155
  
• Ammar H. Alhusaini, Viktor K. Prasanna, Cauligi S. Raghavendra:
  A Unified Resource Scheduling Framework for Heterogeneous Computing Environments. 156-
  

Invited Case Studies

• Arash Baratloo, Partha Dasgupta, Vijay Karamcheti, Zvi M. Kedem:
  Metacomputing with MILAN. 169-183
  
• Debra A. Hensgen, Taylor Kidd, David St. John, Matthew C. Schnaidt, Howard Jay Siegel, Tracy D. Braun, Muthucumaru Maheswaran, Shoukat Ali, Jong-Kook Kim, Cynthia E. Irvine, Timothy E. Levin, Richard F. Freund, Matt Kussow, Michael W. Godfrey, Alpay Duman, Paul Carff, Shirley Kidd, Viktor K. Prasanna, Prashanth B. Bhat, Ammar H. Alhusaini:
  An Overview of MSHN: The Management System for Heterogeneous Networks. 184-198
  
• Richard West, Raj Krishnamurthy, W. K. Norton, Karsten Schwan, Sudhakar Yalamanchili, Marcel-Catalin Rosu, V. Sarat:
  QUIC: A Quality of Service Network Interface Layer for Communication in NOWs. 199-208
  
• Thomas R. Gross, Peter Steenkiste, Jaspal Subhlok:
  Adaptive Distributed Applications on Heterogeneous Networks. 209-218
  

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