Download High Performance Computing — HiPC 2000: 7th International by Rob F. Van der Wijngaart (auth.), Mateo Valero, Viktor K. PDF

By Rob F. Van der Wijngaart (auth.), Mateo Valero, Viktor K. Prasanna, Sriram Vajapeyam (eds.)

This booklet constitutes the refereed court cases of the seventh foreign convention on excessive functionality Computing, HiPC 2000, held in Bangalore, India in December 2000. The forty six revised papers awarded including 5 invited contributions have been conscientiously reviewed and chosen from a complete of 127 submissions. The papers are prepared in topical sections on method software program, algorithms, high-performance middleware, functions, cluster computing, structure, utilized parallel processing, networks, instant and cellular communique platforms, and massive scale facts mining.

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Extra resources for High Performance Computing — HiPC 2000: 7th International Conference Bangalore, India, December 17–20, 2000 Proceedings

Example text

A parallelizing compiler can take a sequential program as input and automatically translate it into a parallel form. , indirectly indexed), nonlinear or dynamic access patterns, no state-of-the-art compilers can determine their parallelism at compile-time. In this paper, we propose an efficient run-time scheme to compute a high parallelism execution schedule for those loops. This new scheme first constructs a predecessor iteration table in inspector phase, and then schedules the whole loop iterations into wavefronts for parallel execution.

If the msgqueue is found to be empty, it waits for the corresponding sending process for depositing the message. We have considered nonblocking send and blocking receive semantics of interprocess communication because these have traditionally been used for concurrent programming applications. In this model, no assumptions are made regarding the order in which messages arrive in a message queue from the msgsend statements belonging to different processes except that messages sent by one process to a message queue are stored in the same order in which they were sent by the process.

SQ_7 ... } } } ( SQ: Statement sequence ) (a) En e 1 F1 e6 e 2 t W e 3 L e4 F2 e5 e7 t t Process Edge Loop Edge Join Edge (b) Fig. 1. (a) An Example Concurrent Program (b) Its Process Graph dotted edges to represent join edges. Figure 1(b) shows the process graph of the example concurrent program given in figure 1(a). In the example of figure 1, the labels of the statements indicate the type of nodes represented by the concerned statements. 2 Static Program Dependence Graph A static program dependence graph (SP DG) represents the program dependences which can be determined statically.

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