Plasticine - A Universal Data Analytics Accelerator
Technical Report,30 Jul 2018,30 Sep 2019
Leland Stanford Junior University Stanford United States
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We have developed hardware and software for a universal data analytics accelerator called Plasticine. Plasticine hardware is based on the novel concept of a reconfigurable dataflow architecture RDA which has both reconfigurable memories and reconfigurable compute. RDAs provide high energy efficiency without sacrificing programmability. We have fabricated a 7nm chip implementation of Plasticine I that provides significant performance and energy improvements compared to GPUs and FPGAs. Architecture studies for Plasticine II include support for dynamic on-chip networks, sparse-matrix computations and graph analytics. Plasticine software includes high-level and low-level compilers for converting TensorFlow machine learning applications into optimized configurations for Plasticine.
- Computer Systems
- Computer Programming and Software