FMS: Microchip/SST Showcased Analog Embedded Superflash memBrain Neuromorphic Memory Solution
Provides reduction in compute power to improve AI inference at edge.
This is a Press Release edited by StorageNewsletter.com on August 13, 2019 at 2:52 pmAs AI processing moves from the cloud to the edge of the network, battery powered and deeply embedded devices are challenged to perform AI functions-like computer vision and voice recognition.
Microchip Technology Inc., via its Silicon Storage Technology (SST) subsidiary, is addressing this challenge by reducing power with its analog memory technology, the memBrain neuromorphic memory solution.
Based on its Superflash technology and optimized to perform vector matrix multiplication (VMM) for neural networks, the company’s analog flash memory solution improves system architecture implementation of VMM through an analog in-memory compute approach, enhancing AI inference at the edge.
As current neural net models may require 50M or more synapses (weights) for processing, it becomes challenging to have enough bandwidth for an off-chip DRAM, creating a bottleneck for neural net computing and an increase in overall compute power. In contrast, the memBrain solution stores synaptic weights in the on-chip floating gate-offering significant improvements in system latency. When compared to traditional digital DSP and SRAM/DRAM based approaches, it delivers 10 to 20 times lower power and reduced overall BOM.
“As technology providers for the automotive, industrial and consumer markets continue to implement VMM for neural networks, our architecture helps these forward-facing solutions realize power, cost and latency benefits,” said Mark Reiten, VP, license division, SST. “Microchip will continue to deliver highly reliable and versatile Superflash memory solutions for AI applications.“
The memBrain solution is being adopted by today’s companies looking to advance ML capacities in edge devices. Due to its ability to reduce power, this analog in-memory compute solution is ideal for any AI application.
“Microchip’s memBrain solution enables ultra-low-power in-memory computation for our forthcoming analog neural network processors,” said Kurt Busch, CEO, Syntiant Corp. “Our partnership with Microchip continues to offer Syntiant many critical advantages as we support pervasive ML for always-on applications in voice, image and other sensor modalities in edge devices.“
SST showcased this analog memory solution and present Microchip’s memBrain product tile array-based architecture at FMS.