High Performance Computing - HiPC'99

1. Front Matter

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2. Session I-A: Architecture/Compilers

   1. Front Matter

      Pages 1-1

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   2. Efficient Technique for Overcomming Data Migration in Dynamic Disk Arrays

      • Soraya Zertal, Claude Timsit

      Pages 3-10

   3. Combining Conditional Constant Propagation and Interprocedural Alias Analysis

      • K. Gopinath, K. S. Nandakumar

      Pages 13-20

   4. Microcaches

      • David May, Dan Page, James Irwin, Henk L. Muller

      Pages 21-27

   5. Improving Data Value Prediction Accuracy Using Path Correlation

      • Wamsi Mohan, Manoj Franklin

      Pages 28-32

   6. Performance Benefits of Exploiting Control Independence

      • Sreenivas Vadlapatla, Manoj Franklin

      Pages 33-37

   7. Fast Slicing of Concurrent Programs

      • Diganta Goswami, Rajib Mall

      Pages 38-42

3. Session I-B: Cluster Computing

   1. Front Matter

      Pages 43-43

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   2. VME Bus-Based Memory Channel Architecture for High Performance Computing

      • Manuj Sharma, Anupam Mandal, B. Shankar Rao, G. Athithan

      Pages 45-54

   3. Evaluation of Data and Request Distribution Policies in Clustered Servers

      • Adnan Khaleel, A. L. Narasimha Reddy

      Pages 55-60

   4. Thunderbolt: A Consensus-Based Infrastructure for Loosely-Coupled Cluster Computing

      • H. Praveen, Sunil Arvindam, Sameer Pokarna

      Pages 61-65

   5. Harnessing Windows NT for High Performance Computing

      • A. Saha, K. Rajesh, Sunita Mahajan, P. S. Dhekne, H. K. Kaura

      Pages 66-70

   6. Performance Evaluation of a Load Sharing System on a Cluster of Workstations

      • Yanal Hajmahmoud, Pierre Sens, Bertil Folliot

      Pages 71-76

   7. Modeling Cone-Beam Tomographic Reconstruction Using LogSMP: An Extended LogP Model for Clusters of SMPs

      • David A. Reimann, Vipin Chaudhary, Ishwar K. Sethi

      Pages 77-83

4. Session II-A: Compilers and Tools

   1. Front Matter

      Pages 85-85

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   2. A Fission Technique Enabling Parallelization of Imperfectly Nested Loops

      • Jialin Ju, Vipin Chaudhary

      Pages 87-94

   3. A Novel “Bi-directional Execution” Approach to Debugging Distributed Programs

      • R. Mall

      Pages 95-102

   4. Memory-Optimal Evaluation of Expression Trees Involving Large Objects

      • Chi-Chung Lam, Daniel Cociorva, Gerald Baumgartner, P. Sadayappan

      Pages 103-110

   5. Resource Usage Modelling for Software Pipelining

      • V. Janaki Ramanan, R. Govindarajan

      Pages 111-119

These are the proceedings of the Sixth International Conference on High Performance Computing (HiPC’99) held December 17-20 in Calcutta, India. The meeting serves as a forum for presenting current work by researchers from around the world as well as highlighting activities in Asia in the high performance computing area. The meeting emphasizes both the design and the analysis of high performance computing systems and their scientific, engineering, and commercial applications. Topics covered in the meeting series include: Parallel Algorithms Scientific Computation Parallel Architectures Visualization Parallel Languages & Compilers Network and Cluster Based Computing Distributed Systems Signal & Image Processing Systems Programming Environments Supercomputing Applications Memory Systems Internet and WWW-based Computing Multimedia and High Speed Networks Scalable Servers We would like to thank Alfred Hofmann and Ruth Abraham of Springer-Verlag for their excellent support in bringing out the proceedings. The detailed messages from the steering committee chair, general co-chair and program chair pay tribute to numerous volunteers who helped us in organizing the meeting. October 1999 Viktor K. Prasanna Bhabani Sinha Prithviraj Banerjee Message from the Steering Chair It is my pleasure to welcome you to the Sixth International Conference on High Performance Computing. I hope you enjoy the meeting, the rich cultural heritage of Calcutta, as well as the mother Ganges, “the river of life”.

• Cluster
• Cluster Computing
• High-Performance Architectures
• High-Performance Computing
• Interconnection Networks
• Mobile Computing
• Parallel Algorithms
• Parallel Processing
• Scheduling
• algorithms
• tools
• algorithm analysis and problem complexity

• College of Engineering, University of Illinois at Chicago, Chicago

  Prith Banerjee

• Department of Electrical Engineering, University of Southern California, Los Angeles, USA

  Viktor K. Prasanna

• Indian Statistical Institute, ACM Unit, Kolkata, India

  Bhabani P. Sinha

Policies and ethics