Microchip Teams Up with Intelligent Hardware Korea (IHWK) to Develop an Analog Compute Platform to Accelerate Edge AI/ML Inferencing
13 Setembro 2023 - 9:00AM
To address the rapid rise of Artificial Intelligence (AI) computing
at the edge of the network and its associated inferencing
algorithms, Intelligent Hardware Korea (IHWK) is developing a
neuromorphic computing platform for neurotechnology devices and
field programmable neuromorphic devices. Microchip Technology
(Nasdaq: MCHP), via its
Silicon Storage
Technology (SST) subsidiary, is assisting with development
of this platform by providing an evaluation system for its
SuperFlash® memBrain™
neuromorphic memory solution. The solution is based on
Microchip’s industry-proven nonvolatile memory (NVM) SuperFlash
technology and is optimized to perform vector matrix multiplication
(VMM) for neural networks through an analog in-memory compute
approach.
The memBrain technology evaluation kit is designed
to enable IHWK to demonstrate the absolute power efficiency of its
neuromorphic computing platform for running inferencing algorithms
at the edge. The end goal is to create an ultra-low-power analog
processing unit (APU) for applications such as generative AI
models, autonomous cars, medical diagnosis, voice processing,
security/surveillance and commercial drones.
As current neural net models for edge inference
may require 50 million or more synapses (weights) for processing,
it becomes challenging to have enough bandwidth for the off-chip
DRAM required by purely digital solutions, creating a bottleneck
for neural net computing that throttles overall compute power. In
contrast, the memBrain solution both stores synaptic weights in the
on-chip floating gate in ultra-low-power sub-threshold mode and
uses the same memory cells to perform the computations—offering
significant improvements in both power efficiency and system
latency. When compared to traditional digital DSP and SRAM/DRAM
based approaches, it delivers 10 to 20 times lower power usage per
inference decision and can significantly reduce the overall bill of
materials.
To develop the APU, IHWK is also working with
Korea Advanced Institute of Science & Technology (KAIST),
Daejeon, for device development and Yonsei University, Seoul, for
device design assistance. The final APU is expected to optimize
system-level algorithms for inferencing and operate between 20-80
TeraOPS per Watt, which is the best performance available for a
computing-in-memory solution designed for use in battery-powered
devices.
“By using proven NVM rather than alternative
off-chip memory solutions to perform neural network computation and
store weights, Microchip’s memBrain computing-in-memory technology
is poised to eliminate the massive data communications bottlenecks
otherwise associated with performing AI processing at the network’s
edge,” said Mark Reiten, vice president of SST, Microchip’s
licensing business unit. “Working with IHWK, the universities and
early adopter customers is a great opportunity to further prove our
technology for neural processing and advance our involvement in the
AI space by engaging with a leading R&D company in Korea.”
“Korea is an important hotspot for AI
semiconductor development,” said Sanghoon Yoon, IHWK branch
manager. “Our experts on nonvolatile and emerging memory have
validated that Microchip’s memBrain product based on proven NVM
technology is the best option when it comes to creating in-memory
computing systems.”
Permanently storing neural models inside the
memBrain solution’s processing element also supports instant-on
functionality for real-time neural network processing. IHWK is
leveraging SuperFlash memory’s floating gate cells’ nonvolatility
to achieve a new benchmark in low-power edge computing devices
supporting machine learning inference using advanced ML models.
For information contact
info@sst.com or the appropriate regional contact
listed on the SST website.
Resources
- Application Image:
www.flickr.com/photos/microchiptechnology/53134651376/sizes/l/
About Silicon Storage Technology
(SST) Microchip Technology’s SST subsidiary is a leading
provider of embedded flash technology. SST develops, designs,
licenses and markets a diversified range of proprietary and
patented SuperFlash memory technology solutions for the consumer,
industrial, automotive and Internet of Things (IoT) markets. SST
was founded in 1989, went public in 1995 and was acquired by
Microchip in April 2010. SST is now a wholly owned subsidiary of
Microchip and is headquartered in San Jose, Calif. For more
information, visit the SST website at
www.sst.com.
About Microchip Technology
Microchip Technology Inc. is a leading provider of smart,
connected and secure embedded control
solutions. Its easy-to-use development tools
and comprehensive product portfolio enable customers to create
optimal designs which reduce risk while lowering total system cost
and time to market. The company’s solutions serve more than 125,000
customers across the industrial, automotive, consumer, aerospace
and defense, communications and computing markets. Headquartered in
Chandler, Arizona, Microchip offers outstanding technical support
along with dependable delivery and quality. For more information,
visit the Microchip website
at www.microchip.com.
About IHWK IHWK, headquartered in
Korea, is a leading provider of AI (Artificial Intelligence)
solutions using nano-device and NVM-emerging memory technologies.
For more information, please visit the IHWK website
at www.intelligenthw.com/.
Note: The Microchip name and logo, the Microchip
logo, SuperFlash and SST are registered trademarks of Microchip
Technology Incorporated in the U.S.A. and other countries. memBrain
is a trademark of Microchip Technology Inc. in the U.S.A. and other
countries. All other trademarks are the property of their
respective companies.
Editorial Contact: |
Reader Inquiries: |
Brian
Thorsen |
1-888-624-7435 |
480-792-7182
brian.thorsen@microchip.com |
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