Explores designing computing systems for IoT, emphasizing energy efficiency, self-learning, and brain-inspired features in healthcare, transportation, and production.
Explores the impact of locality on system design, discussing strategies to optimize efficiency and performance through data layout, lock design, and data movement minimization.
Covers persistence in computer science, focusing on magnetic disks and their performance characteristics, including seek time, rotational latency, and disk scheduling algorithms.
Explores the challenges and benefits of scaling language models, emphasizing the importance of scaling laws in estimating optimal model and dataset sizes.
Explores challenges in new data centers, large internet service growth, power consumption, availability, storage management, software layers, and energy efficiency.
