IoT end-nodes require extreme performance and energy efficiency coupled with high flexibility to deal with the increasing computational requirements and variety of modern near-sensor data analytics applications. Low-Bitwidth and Mixed-Precision arithmetic is emerging as a trend to address the near-sensor analytics challenge in several fields such as linear algebra, Deep Neural Networks (DNN) inference, and on-line learning. We present Dustin, a fully programmable Multiple Instruction Multiple Data (MIMD) cluster integrating 16 RISC-V cores featuring 2b-to-32b bit-precision instruction set architecture (ISA) extensions enabling fine-grain tunable mixed-precision computation, improving performance and efficiency by 3.7 x and 1.9 x over state-of-the-art fully programmable devices. The cluster can be dynamically configured in Vector Lockstep Execution Mode (VLEM), turning off all IF stages except one, reducing power consumption by up to 38% with no performance degradation. The cluster, implemented in 65nm CMOS technology, achieves a peak performance of 58 GOPS and a peak efficiency of 1.15 TOPS/W.
Garofalo A., Ottavi G., Di Mauro A., Conti F., Tagliavini G., Benini L., et al. (2021). A 1.15 TOPS/W, 16-Cores Parallel Ultra-Low Power Cluster with 2b-to-32b Fully Flexible Bit-Precision and Vector Lockstep Execution Mode. New York : Institute of Electrical and Electronics Engineers Inc. [10.1109/ESSCIRC53450.2021.9567767].
A 1.15 TOPS/W, 16-Cores Parallel Ultra-Low Power Cluster with 2b-to-32b Fully Flexible Bit-Precision and Vector Lockstep Execution Mode
Garofalo A.
;Ottavi G.;Conti F.;Tagliavini G.;Benini L.;Rossi D.
2021
Abstract
IoT end-nodes require extreme performance and energy efficiency coupled with high flexibility to deal with the increasing computational requirements and variety of modern near-sensor data analytics applications. Low-Bitwidth and Mixed-Precision arithmetic is emerging as a trend to address the near-sensor analytics challenge in several fields such as linear algebra, Deep Neural Networks (DNN) inference, and on-line learning. We present Dustin, a fully programmable Multiple Instruction Multiple Data (MIMD) cluster integrating 16 RISC-V cores featuring 2b-to-32b bit-precision instruction set architecture (ISA) extensions enabling fine-grain tunable mixed-precision computation, improving performance and efficiency by 3.7 x and 1.9 x over state-of-the-art fully programmable devices. The cluster can be dynamically configured in Vector Lockstep Execution Mode (VLEM), turning off all IF stages except one, reducing power consumption by up to 38% with no performance degradation. The cluster, implemented in 65nm CMOS technology, achieves a peak performance of 58 GOPS and a peak efficiency of 1.15 TOPS/W.File | Dimensione | Formato | |
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DUSTIN_REDUX.pdf
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