Harder, new requirements are appearing in the area of database systems. The popularity reached by parallel database systems during the past decade, due to their high performance and scalability characteristics, should...
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One of the most important features of interconnection networks for massively parallel computer systems is scaleability. The fiber-optic network described in this paper uses both wavelength division multiplexing and a ...
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One of the most important features of interconnection networks for massively parallel computer systems is scaleability. The fiber-optic network described in this paper uses both wavelength division multiplexing and a configurable ratio between optics and electronics to gain an architecture with good scaleability. The network connects distributed modules together to a huge parallel system where each node itself typically consists of parallel processing elements. The paper describes two different implementations of the star topology, one uses an electronic star and fiber optic connections, the other is purely optical with a passive optical star in the center. The medium access control of the communication concept is presented and some scaleability properties are discussed involving also a multiple-star topology.
Harder, new requirements are appearing in the area of database systems. The popularity reached by parallel database systems during the past decade, due to their high performance and scalability
Harder, new requirements are appearing in the area of database systems. The popularity reached by parallel database systems during the past decade, due to their high performance and scalability
Proper distribution of operations among parallel processors in a large scientific computation executed on a distributed-memory machine can significantly reduce the total computation time. In this paper, we propose an ...
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Proper distribution of operations among parallel processors in a large scientific computation executed on a distributed-memory machine can significantly reduce the total computation time. In this paper, we propose an operation called simultaneous parallel reduction(SPR), that is amenable to such optimization. SPR performs reduction operations in parallel, each operation reducing a one-dimensional consecutive section of a distributed array. Each element of the distributed array is used as an operand to many reductions executed concurrently over the overlapping array's sections. SPR is distinct from a more commonly considered parallel reduction which concurrently evaluates a single reduction. In this paper we consider SPR on Single Instruction Multiple Data (SIMD) machines with different interconnection networks. We focus on SPR over sections whose size is not a power of 2 with the result shifted relative to the arguments. Several algorithms achieving some of the lower bounds on SPR complexity are presented under various assumptions about the properties of the binary operator of the reduction and of the communication cost of the target architectures.
High level data parallel languages such as Vienna Fortran and High Performance Fortran (HPF) have been introduced to allow the programming of massively parallel distributed memory machines at a relatively high level o...
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High level data parallel languages such as Vienna Fortran and High Performance Fortran (HPF) have been introduced to allow the programming of massively parallel distributed memory machines at a relatively high level of abstraction, based on the single program multiple data (SPMD) paradigm. Their main features include mechanisms for expressing the distribution of data across the processors of a machine. The paper introduces additional language functionality to allow the efficient processing of sparse matrix codes. It introduces methods for the representation and distribution of sparse matrices, which forms a powerful mechanism for storing and manipulating sparse matrices able to be efficiently implemented on massively parallel machines.< >
Introduces a digital hearing aid that compensates the signal spoken in sensorineural impaired listeners with the object of improving their intelligibility. The technique used is based on a digital analysis/synthesis o...
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Introduces a digital hearing aid that compensates the signal spoken in sensorineural impaired listeners with the object of improving their intelligibility. The technique used is based on a digital analysis/synthesis of speech; the authors divided the input signal into short time blocks then make a multiband analysis, nonlinear amplification and synthesis based on a sinusoidal model of the voice, according to the subject's dynamic range in that band. This system has been implemented in real-time using a DSP (TMS320C30) based microprocessor board within a host personal computer IBM PC, and one of the principal objectives of the project is to make an easy implementation VLSI system with low consumption for it to be a portable digital hearing aid.
Transport-triggered architectures are a new class of architectures that provide more scheduling freedom and have unique compiler optimizations. This paper reports experiments that quantify the advantages of transport-...
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ALBA, A parallel Language Based on Actors is a new programming language designed to take advantage of highly parallel architectures that use message passing as the fundamental low-level interaction primitive. In this ...
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This paper presents a hardware architecture and a software tool needed for future autonomous robots. Specific attention is given to the execution of artificial neural networks and to the need for a good inspection and...
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This paper presents a hardware architecture and a software tool needed for future autonomous robots. Specific attention is given to the execution of artificial neural networks and to the need for a good inspection and visualization tool when developing this kind of system. Achievable performance using state of the art technology is estimated and module miniaturization issues are discussed.
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