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Titlebook: Languages, Compilers, and Run-Time Systems for Scalable Computers; 5th International Wo Sandhya Dwarkadas Conference proceedings 2000 Sprin

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A Collective I/O Scheme Based on Compiler Analysisng the characteristics of a wide variety of I/O devices and in part due to inherent complexity of I/O software. While parallel I/O systems provide users with environments where persistent datasets can be shared between parallel processors, the ultimate performance of I/O-intensive codes depends larg
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Achieving Robust, Scalable Cluster I/O in Java balances resource load across the cluster as a whole, shielding applications from asymmetries in CPU, I/O, and net- work performance. This is accomplished through the use of a . coupled with a work-balancing .. To meet the performance challenges of implementing such a system in Java, Tigris relies
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High Level Programming Methodologies for Data Intensive Computationsen- gineering. By allowing algorithms for such problems to be programmed in widely used or rapidly emerging high-level paradigms, like object-oriented and declar- ative programming models, rapid prototyping and easy development of compu- tational techniques can be facilitated..Our research focuses o
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Static Analysis for Guarded Codeh conditional branches, and meanwhile also poses new challenges for con- ventional program analysis techniques. In this paper, we propose a static semantics inference mechanism to capture the semantics information of guards in the context of guarded code. Based on the semantics informa- tion, we ext
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UPMLIB: A Runtime System for Tuning the Memory Performance of OpenMP Programs on Scalable Shared-Meme of OpenMP programs on scalable shared-memory multiprocessors with hardware cache-coherence. UPMLIB integrates information from the com- piler and the operating system, to implement algorithms that perform accurate and timely page migrations. The algorithms and the associated mechanisms cor- relate
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