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Computer Architecture: Vector Processing: SIMD/Vector/GPU ...

Computer Architecture: SIMD/ Vector /GPUProf. Onur Mutlu (edited by seth) carnegie mellon UniversityVector Processing: Exploiting Regular (Data) ParallelismData Parallelism Concurrency arises from performing the same operations on different pieces of data Single instruction multiple data (SIMD) , dot product of two vectors Contrast with data flow Concurrency arises from executing different operations in parallel (in a data driven manner) Contrast with thread ( control ) parallelism Concurrency arises from executing different threads of control in parallel SIMD exploits instruction-level parallelism Multiple instructions concurrent: instructions happen to be the same 3 SIMD Processing Single instruction operates on multiple data elements In time or in space Multiple processing elements Time-space duality Array processor: Instruction operates on multiple data elements at the same time Vector processor: Instruction operates on multiple data elements in consecutive time steps4 Array vs.

SIMD/Vector/GPU Prof. Onur Mutlu (edited by seth) Carnegie Mellon University Vector Processing: Exploiting Regular (Data) Parallelism Data Parallelism Concurrency arises from performing the same operations on different pieces of data Single instruction multiple data (SIMD) E.g., dot product of two vectors Contrast with data flow

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