Seamless Design Of Smart Edge Processors

智能边缘处理器的无缝设计

• 批准号: 10039252
• 金额: $ 86.2万
• 依托单位: UNIVERSITY OF EDINBURGH
• 依托单位国家: 英国
• 项目类别: EU-Funded
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=10039252
• 关键词: Seamless; Design; Smart; Edge; Processors

With the rise of deep learning (DL), our world braces for Artificial Intelligence (AI) in every edge device, creating an urgent need for edge AI processing hardware. Unlike existing solutions, this hardware needs to support high throughput, reliable, and secure AI processing at ultra-low power (ULP), with a very short time to market. With its strong legacy in edge solutions and open processing platforms, the EU is ideally positioned to become the leader in this edge-AI market. However, certain roadblocks keep the EU from assuming this leadership role: Edge processors need to become 100x more energy efficient; Their complexity demands automated design with 10x design time reduction; They must be secure and reliable to get accepted; Finally, they should be flexible and powerful to support the DL domain. CONVOLVE addresses these roadblocks and thereby enables EU leadership in Edge-AI. To that end, it will take a holistic approach with innovations at all design stack levels, including: 1.ULP memristive circuits for computation-in-memory 2.Fast compositional design of System-on-Chips (SoC) 3.Transparent compilers supporting automated code optimizations and domain-specific languages 4.Rethinking DL models through dynamic neural networks, event-based execution, and sparsity 5.On-edge continuous learning for improved accuracy, self-healing, and reliable adaptation to non-stationary environments 6.Holistic integration in SoCs supporting secure execution with real time guarantees The CONVOLVE consortium includes some of Europe's strongest research groups and industries, covering the whole design stack and value chain. In a community effort, we will demonstrate Edge-AI computing in real-life vision and audio domains. By combining these innovative ULP and fast design solutions, CONVOLVE will, for the first time, enable reliable, smart, and energy efficient edge-AI devices at a rapid time-to-market and low cost, and as such open the road for EU leadership in edge-processing.

随着深度学习（DL）的兴起，我们的世界在每个边缘设备中都支持人工智能（AI），这就迫切需要边缘AI处理硬件。与现有的解决方案不同，该硬件需要以超低功耗（ULP）支持高吞吐量，可靠和安全的AI处理，并且上市时间非常短。凭借其在边缘解决方案和开放式处理平台方面的强大传统，欧盟有望成为边缘人工智能市场的领导者。然而，某些障碍使欧盟无法承担这一领导角色：边缘处理器需要提高100倍的能效;其复杂性要求自动化设计，减少10倍的设计时间;它们必须安全可靠才能被接受;最后，它们应该灵活而强大，以支持DL领域。CONVOLVE解决了这些障碍，从而使欧盟在边缘人工智能方面处于领导地位。为此，它将采取全面的方法，在所有设计堆栈级别进行创新，包括：1.用于内存计算的ULP忆阻电路2.片上系统（SoC）的快速组合设计3.支持自动代码优化和特定领域语言的透明编译器4.通过动态神经网络，基于事件的执行，和稀疏性5.边缘连续学习，用于提高准确性、自我修复和对非静态环境的可靠适应6. SoC中的整体集成，支持安全执行和真实的时间保证CONVOLVE联盟包括一些欧洲最强大的研究团体和行业，涵盖整个设计堆栈和价值链。在社区的努力中，我们将在现实生活中的视觉和音频领域展示Edge-AI计算。通过将这些创新的ULP和快速设计解决方案相结合，CONVOLVE将首次以快速的上市时间和低成本实现可靠，智能和节能的边缘AI设备，从而为欧盟在边缘处理方面的领导地位开辟道路。