Vector In Memory Architecture for simple and high efficiency computing

Aline S. Cordeiro; Francis B. Moreira; Luigi Carro; Marco Antonio Zanata Alves; Paulo C. Santos; Sairo Santos

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arxiv 2203.14882 v1 pith:BURVA65C submitted 2022-03-28 cs.AR

Vector In Memory Architecture for simple and high efficiency computing

Marco Antonio Zanata Alves , Sairo Santos , Aline S. Cordeiro , Francis B. Moreira , Paulo C. Santos , Luigi Carro This is my paper

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keywords datavectorarchitecturememorymovementsystemvimaapplications

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Data movement is one of the main challenges of contemporary system architectures. Near-Data Processing (NDP) mitigates this issue by moving computation closer to the memory, avoiding excessive data movement. Our proposal, Vector-In-Memory Architecture(VIMA), executes large vector instructions near 3D-stacked memories using vector functional units and uses a small data cache to enable short-term data reuse. It provides an easy programming interface and guarantees precise exceptions. When executing stream-behaved applications using a single core, VIMA offers a speedup of up to 26x over a CPU system baseline with vector operations in a single-core processor while spending 93% less energy.

Vector In Memory Architecture for simple and high efficiency computing

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