UltraSoC Extends On-Chip Analytics Architecture For The Age Of Machine Learning, Artificial Intelligence And Parallel Computing

UltraSoC today announced a significant extension of its embedded analytics architecture, allowing designers and innovators to incorporate powerful data-driven features into their products. Developers in the automotive, storage and high performance computing industries can now integrate even more sophisticated hardware-based security, safety and performance tuning capabilities within their products, as well as reaping substantial time-to-market and cost benefits of using UltraSoC in the system on chip (SoC) development cycle.
The new features allow SoC designers to build on-chip monitoring and analytics systems with up to 65,000 elements, allowing seamless support for systems with many thousands of processors. Future iterations will allow even higher numbers of processors for Exascale systems. In addition to this dramatically improved scaling capability, new System Memory Buffer (SMB) IP allows the embedded analytics infrastructure to handle the high volumes of data generated by multicore systems, and to cope with “bursty” real-world traffic.
Dave Ditzel, Founder and CEO of Esperanto, commented: “Esperanto’s mission is to enable the most energy-efficient high-performance computing systems for artificial intelligence, machine learning and other emerging applications. That requires us to put over a thousand RISC-V processors and AI/ML accelerators on a single chip; UltraSoC’s ability to match that level of scaling with monitoring, analytics and debug capabilities is a vital enabler for our business.”
 
To read more, please visit: https://www.ultrasoc.com/ultrasoc-extends-chip-analytics-architecture-age-machine-learning-artificial-intelligence-parallel-computing/.