Several recent studies on the limits of parallelism have reported that speculative execution can substantially increase the amount of exploitable parallelism in programs, especially non-numerical programs. this is tru...
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the proceedings contain 27 papers. the special focus in this conference is on Foundations of Data Organization and algorithms. the topics include: Storage system architectures for continuous media data;physical storag...
ISBN:
(纸本)9783540573012
the proceedings contain 27 papers. the special focus in this conference is on Foundations of Data Organization and algorithms. the topics include: Storage system architectures for continuous media data;physical storage organizations for time-dependent multimedia data;user interface management system embedded in a multimedia document editor framework;management of physical replicas in parallel multimedia information systems;efficient similarity search in sequence databases;filtered hashing;design and implementation of DDH: a distributed dynamic hashing algorithm;performance analysis of superimposing-coded signature files;trie methods for representing text;estimation of false drops in set-valued object retrieval with signature files;data structure and algorithms for new hardware technology;evaluation of upper bounds and least nodes as database operations;a system for data sharing among heterogeneous object models;dynamic selectivity estimation for multidimensional queries;reducing page thrashing in recursive query processing;the sybase replication server project;analogical inferred compensation method for heterogeneous database schema mismatch and its application to hypermedia cooperative work system;a survey of DBMS research issues in supporting very large tables;a survey of DBMS research issues in supporting very large tables;an algorithm for the implementation of replicated tables;improved traditional mirror;adaptive load balancing in disk arrays;challenges to the database community;an object-oriented office space description model and an office view management mechanism for distributed office environment and stamp locking method for multiversion composite objects.
this paper presents a Parameter based Performance Prediction Tool (PPPT) which is part of the Vienna Fortran Compilation System (VFCS), a compiler that automatically translates Fortran programs into message passing pr...
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this paper presents super-threading, which generically means the architectural and software mechanisms for optimizing parallel computation. Super-threading includes architectural optimization of a processing element (...
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In the coming decade, high-speed network computing using processors that are orders of magnitude faster than the platforms available today, will enable the integration and coalescing of vast amounts of information sto...
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Mapping data to parallel computers aims at minimizing the execution time of the associated application. However, it can take an unacceptable amount of time in comparison withthe execution time of the application if t...
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Data-parallel ML is proposed for compilation to a distributed version (DPCAM) of Cousineau, Curien and Mauny’s Categorical Abstract Machine. the DPCAM is a static network of CAMs which dynamically restrict the MIMD e...
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In multiprocessor systems, overheads caused by inter-processor communication and synchronization have been one of the largest obstacles for efficient execution of parallel programs. To reduce these overheads in shared...
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A key requirement for the effective use of multiprocessor systems in real-world applications is an ability to accurately predict the performance of a specific algorithm on a specific architecture. Such performance pre...
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A key requirement for the effective use of multiprocessor systems in real-world applications is an ability to accurately predict the performance of a specific algorithm on a specific architecture. Such performance prediction tools assist the system designer in initially selecting, and then modifying, boththe algorithm and the architecture to obtain acceptable performance. In this paper, we present a modeling approach that permits separate evaluation of algorithm and architecture performance with only a small number of "cross" parameters required to link the two models. An example application of this technique to a Gaussian elimination algorithm on two dissimilar multiprocessor architectures shows good agreement with actual performance figures obtained from measurement and simulation.< >
the introduction of specialized hardware platforms for connectionist modeling ("connectionist supercomputer") has created a number of research topics. Some of these issues are controversial, e.g. the efficie...
the introduction of specialized hardware platforms for connectionist modeling ("connectionist supercomputer") has created a number of research topics. Some of these issues are controversial, e.g. the efficient implementation of incremental learning techniques, the need for the dynamic reconfiguration of networks and possible programming environments for these machines.
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