Learn about scalable parallel algorithms in this 37-minute conference talk that explores fundamental concepts and techniques for designing algorithms that efficiently utilize parallel computing resources. Discover how to manage parallelism effectively across different computational scenarios, examining theoretical foundations and practical implementations that scale with increasing numbers of processors. Explore key principles of parallel algorithm design, including work-span analysis, load balancing strategies, and synchronization mechanisms that ensure optimal performance in multi-core and distributed computing environments. Gain insights into current research directions and challenges in developing algorithms that maintain efficiency as computational resources grow, with particular focus on how to achieve scalability without sacrificing correctness or performance guarantees.