Lecture
This lecture delves into the future of computing, exploring the intersection of simulation technology with computing substrates. The instructor discusses how computing is evolving, emphasizing the shift towards augmented types of computers and the potential rise of neuromorphic computing. The lecture explains the significance of Moore's law, detailing its historical observations and limitations, as well as the differences between programming CPUs and GPUs. Furthermore, it explores the distinctions between conventional and neuromorphic hardware in terms of performance and power consumption, highlighting the trade-offs between speed and energy efficiency in computational systems.