Latest Release of Lattice sensAI Solutions Stack Delivers up to 6X Performance Boost on Award-Winning CrossLink-NX FPGAs
Lattice Semiconductor Corporation (NASDAQ: LSCC) announced significant enhancements to its sensAI solution stack, version 3.1, aimed at improving AI/ML performance on low power FPGAs. Key upgrades include an optimized CNN engine that increases processing speed to 60 frames-per-second, a CNN compiler that reduces operations-per-cycle by 50%, and new development boards facilitating quicker market integration. These advancements support applications in industrial automation and smart home technologies, allowing for more efficient video data analysis at minimal power consumption.
- Enhanced CNN performance: 60 frames-per-second processing on Mobilenet with a 6x speed increase.
- CNN compiler optimizations reduce operations-per-cycle by 50%, improving efficiency.
- New development board featuring CrossLink-NX 40K FPGA accelerates AI/ML application development.
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Lattice Semiconductor Corporation (NASDAQ: LSCC), the low power programmable leader, today announced performance enhancements and additional reference designs for its award-winning Lattice sensAI™ solutions stack. Lattice sensAI helps developers rapidly create high-performance AI/ML solutions running on flexible, low power Lattice FPGAs for use in Edge devices. The enhancements include optimizations to the stack’s programmable CNN Plus engine and NN compiler software and leverage other innovations in AI/ML technology that capitalize on the capabilities of the Lattice Nexus™ FPGA platform. The updated stack also features reference designs that use these enhancements to boost application performance while keeping power consumption low, including a new object detection application running on the Lattice CrossLink™-NX FPGA, Lattice’s flagship device for vision processing.
“By taking advantage of the hardware programmability of FPGAs and tracking the latest innovations in AI and ML technology, we’ve extended the performance capabilities of our sensAI solutions stack to new levels,” said Hussein Osman, Market Segment Manager, Lattice Semiconductor. “With these enhancements, Lattice can deliver a smart vision solution capable of analyzing incoming video data streams at up to 60 frames-per-second while consuming only a few milliwatts of power, enabling more accurate smart vision performance in industrial automation, smart home, and security and surveillance applications.”
The latest enhancements to the Lattice sensAI solution stack (v3.1) include:
- Optimized CNN engine IP – optimizations to the way DSPs are used in the IP block and other architectural features of CrossLink-NX FPGAs deliver heightened CNN performance to the sensAI stack. For example, when running the stack on a CrossLink-NX FPGA, the Mobilenet CNN model (version 1) can process video data at 60 frames-per-second at a resolution of 224x224, a 6x increase in performance from the prior release. Lattice offers an object detection reference design that can enable similar performance in applications like automated defect detection on an industrial assembly line or presence detection in security cameras.
- Updated CNN compiler – the software compiler used in the sensAI stack is specifically optimized for DSPs implemented on a Lattice FPGA fabric to reduce operations-per-cycle by 50 percent. Additional NN model compression innovations include removal of duplicate weights to reduce memory usage while preserving accuracy.
- More development board options - a new sensAI development board featuring the CrossLink-NX 40K FPGA, an image sensor, microphones, and expansion connectors for interfacing with additional sensors. This board supports the reference designs referred to above and is intended to speed time-to-market for AI/ML applications.
- New end-to-end reference designs and hardware - a low power gesture detection reference design to accelerate customer implementation of contactless human/machine interface (HMI) systems that are gaining popularity in the post-COVID-19 marketplace. The application uses an ultra-low-power Lattice iCE40™ UltraPlus FPGA so developers can implement it in a small form factor using minimal power. The reference design could be a compelling option for developers looking to add HMI to an industrial robot or a battery-powered smart toy.
For More Information
To learn more about the Lattice technologies mentioned above, please visit:
- www.latticesemi.com/sensAI
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FAQ
What are the new enhancements in Lattice Semiconductor's sensAI solutions stack?
The new enhancements include an optimized CNN engine, an updated CNN compiler, and more development board options to improve AI/ML performance.How much has performance improved in the sensAI solutions stack version 3.1?
The performance has improved significantly, allowing video processing at 60 frames-per-second, which is a 6x increase from the previous version.What applications can benefit from the upgraded Lattice sensAI solution stack?
Applications in industrial automation, smart homes, and security systems can benefit from the upgraded performance and power efficiency.What new features have been introduced for developers using sensAI?
New features include a low power gesture detection reference design and a development board with expansion capabilities for faster implementation of AI/ML solutions.What is the significance of power consumption in the updated sensAI solution stack?
The updated stack allows for video analysis with minimal power consumption, enhancing efficiency in smart vision applications.
