Covers the basics of parallelism, including physical examples, historical context, multicore era, and parallel collections in Scala.
Explores futures as a structured approach to concurrency, simplifying parallel tasks and input-output operations.
Covers the basics of parallel programming, including exploiting parallelism in algorithms and the importance of avoiding race conditions.
Covers the basics of multi-threaded processors, including design, performance impact, and pipeline utilization.
Explores memory cache principles, emphasizing spatial locality, latency impact, and cache efficiency strategies.
Covers cache coherence in multiprocessor systems and the challenges of maintaining coherence and consistency in modern processors.
