10.Introduction to Data-Parallel architectures

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10.Introduction to Data-Parallel architectures TECH Computer Science • SIMD {Single Instruction Multiple Data} • 10.1 Introduction • 10.2 Connectivity • 10.3 Alternative architecture • e.g. add: (c1=a1+b1), (c2=a2+b2), (c3=a3+b3) CH01

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10.Introduction to Data-Parallel architectures. SIMD {Single Instruction Multiple Data} 10.1 Introduction 10.2 Connectivity 10.3 Alternative architecture e.g. add: (c1=a1+b1), (c2=a2+b2), (c3=a3+b3). TECH Computer Science. CH01. Data-parallel computation (bit parallel). - PowerPoint PPT Presentation

Transcript of 10.Introduction to Data-Parallel architectures

Page 1: 10.Introduction to Data-Parallel architectures

10.Introduction to Data-Parallel architectures

TECH Computer Science

• SIMD {Single Instruction Multiple Data}• 10.1 Introduction• 10.2 Connectivity • 10.3 Alternative architecture

• e.g. add: (c1=a1+b1), (c2=a2+b2), (c3=a3+b3)

CH01

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Data-parallel computation (bit parallel)

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Application of Data-parallel Architectures: One data entity processed by one PE

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Mapping Problem space into Architectural Space:Data entity onto PE (1-to-1 mapping)

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Near-neighbor connectivity (2-D: Mesh)

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Tree: 2-D hierarchy

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Pyramid: 3-D hierarchy

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Hypercube: 2^N nodes in N dimension

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Hypercube: 4-D Long and short-range connections

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Data-parallel approaches

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Principal characteristics of data-parallel systems

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