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Computer Architecture SIMD Ola Flygt Växjö University http://w3.msi.vxu.se/users/ofl/ Ola.Flygt@msi.vxu.se +46 470 70 86 49
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Outline Design space Granularity Connectivity Processor complexity Local Anotomy Fine grained architectures Course grained architectures CH01
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A typical SIMD system
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The development of SIMD systems
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Design space There are several factors to consider when designing a SIMD. The most important ones are: Granularity Connectivity Complexity of processing element Local autonomy
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Granularity mapping data to PEs
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Granularity Fine to coarse grain
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Connectivity Not all the types of connectivity for data parallel arch. are used in SIMD arch.
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Performance of interconnection networks There are several important parameters in an interconnection network Diameter, the shortest path between the two most distant nodes Bandwidth, how many data exchanges simultaneous in the network Blocking, how many exchanges are blocked
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Performance of interconnection networks N=128*128 1 256 28 14 1 N=128*128 1 16384 28 14 16384
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Processor complexity The design space for processor precision Single bit – fine grained, mainly for image processing Integer – general computing Floating point – Coarse grain, scientific computing Fine grained -> more PEs
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Local autonomy
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Fine grained SIMD The MPP system
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Fine grained SIMD The MPP processing element
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Fine grained SIMD The MPP integrated circuit
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Coarse grained SIMD The CM5 processing element
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Coarse grained SIMD The CM5 fat tree connectivity
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Coarse grained SIMD The CM5 system parameters
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