See Rami Drucker and many other expert speakers at the 2023 Embedded Vision Summit!
Next-generation AI and computer vision applications for autonomous vehicles, cameras, drones and robots require higher-than-ever computing power. Often, the most efficient way to deliver high performance (especially in cost- and power-constrained applications) is to use multi-core processors. But developers must then map their applications onto the multiple cores in an efficient manner, which can be difficult. To address this challenge and streamline application development, CEVA has introduced the Architecture Planner tool as a new element in CEVA’s comprehensive AI SDK.
In this talk, we’ll show how the Architecture Planner tool analyzes the network model and the processor configuration (number of cores, memory sizes), then automatically maps the workload onto the multiple cores in an efficient manner. We’ll explain key techniques used by the Tool, including symmetrical and asymmetrical multi-processing, partition by sub-graphs, batch partitioning and pipeline partitioning.
Rami Drucker has served as Machine Learning Software Architect in CEVA’s Vision Business Unit since January 2020. Prior to this, Mr. Drucker was a senior Software Architect at OSR Enterprises AG, where he played a key role in the design of EVOLVER, a multi-domain AI brain for next-generation autonomous and securely connected vehicles. Mr. Drucker holds a B.Sc. in Mathematics and Computer Science from Tel-Aviv University and a M.Sc. degree in Computer Science from Bar Ilan University in Israel.
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Open for submissions! If you’re a start-up doing something cool with computer vision or visual AI, submit your entry today—for free! (Not at a computer vision or visual AI start-up but know one? Nominate them and you could win free Summit passes!) https://hubs.ly/Q01ws0cX0
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