Explores dynamic scheduling in processor design to increase parallelism by executing instructions out of order, improving performance and efficiency.
Introduces the basics of GPUs, CUDA programming, and thread synchronization for parallel computing applications.
Explores challenges and solutions for data center processors, focusing on efficiency, cache issues, branch prediction, and architectural optimizations.
Explores cache memory performance evaluation, covering benchmarks, Amdahl's law, CPU performance, memory hierarchy, cache optimizations, and multilevel caches.
