Problem 3. Media applications that play audio or video files are part of a class of workloads called "streaming" workloads (i.e., they bring in large amounts of data but do not reuse much of it). Consider a video streaming workload that accesses a 512 KB working set sequentially with the following byte address stream: 0, 1, 2, 3, 4, 5, 6,7,8,9,. Assume a 64KB direct-mapped cache with a 32B block. What is the miss rate for the address stream above? How is the miss rate sensitive to the size of the cache or the working set? How would you categorize the misses this workload is experiencing, based on the 3C model (i.e., Compulsory, Conflict, Capacity)? Re-compute the miss rate when the block size is 16B, 64B, and 128B? What kind of locality is this workload exploiting? "Prefetching" is a technique that leverages predictable address patterns to speculatively bring in additional cache blocks when particular cache block when a particular cache block is accessed. One example of prefetching is next-line (or, next-block) prefetching that prefetches sequentially adjacent cache blocks when a particular block is brought in. What is the miss rate for the address stream above with next-line prefetching? A. B. C