Publicado em: 24/09/2024

IEEE CASS RS Talks 2024

CASS Talks: "From Silicon to Cloud: Paving the AI Path with Powerful Hardware"

No dia 27 de setembro de 2024, às 13:30 (Horário de Brasília, GMT-3), ocorrerá a palestra “From Silicon to Cloud: Paving the AI Path with Powerful Hardware”, como parte do IEEE CASS RS Talks 2024. Ministrada pela Prof. Antonio Carlos Schneider Beck Filho da UFRGS, e abordará o papel fundamental do hardware na construção do caminho da Inteligência Artificial (IA), especialmente no contexto que integra IoT, edge e computação em nuvem.

A palestra será transmitida ao vivo pelo YouTube, no canal oficial do IEEE CASS.

Abstract:
AI applications span the IoT-Cloud continuum, integrating IoT, edge, and cloud computing to create seamless, intelligent systems. At the IoT level, sensors and devices collect real-time data, while edge computing processes it locally to reduce latency and bandwidth use. This local processing enables quick decision-making for time-sensitive applications, such as autonomous vehicle reactions, emergency responses in smart city infrastructure, healthcare monitoring, environmental adjustments in smart homes, and more. Further processing and deeper analysis occur in the cloud, where powerful AI models leverage vast data stores and computing resources for complex analyses and optimizations. Considering that this complex AI continuum demands powerful hardware, this tutorial introduces the concepts of AI hardware for IoT, edge, and their interaction with the cloud, discussing non-functional requirements like latency, quality, power, energy, cost, etc. The talk covers the basics of AI execution hardware and explores the trade-offs provided by different hardware options concerning the requirements above, which will vary depending on where execution takes place within the IoT-Cloud continuum. Lastly, the talk delves into optimization techniques and the exploitation of parallelism, covering specific network model optimizations, illustrated through practical case studies.

Short CV:
Antonio Carlos Schneider Beck Filho graduated in Computer Science from the Federal University of Santa Maria (UFSM) in 2002. He holds a master’s degree (2004) and a PhD (2008) in Computer Science from the Federal University of Rio Grande do Sul (UFRGS), with a research internship at TUDelft, Netherlands, where he was also a visiting researcher in 2015. Currently, he is an Associate Professor at the Institute of Informatics at UFRGS and contributes to two graduate programs: PPGC and PGMicro. His research interests include reconfigurable systems, computer architectures, multicore processing, and AI hardware. He has authored over 150 articles in international conferences and journals, with extensive international and local collaboration, and has published three books. For more information, visit www.inf.ufrgs.br/~caco.