Explores GPUs' architecture, CUDA programming, image processing, and their significance in modern computing, emphasizing early start and correctness in GPU programming.
Explores the landscape of big data, memory importance in online services, challenges faced by memory systems, emerging DRAM technologies, and storage-class memory.
Covers the basics of parallel programming, including concurrency, forms of parallelism, synchronization, and programming models like PThreads and OpenMP.
Covers the concept of virtual memory and the isolation of processes through address spaces, discussing segmentation, paging, and memory implementation details.