Which granularity of parallelism most affects the scheduling algorithm we use? Explain why
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Which granularity of parallelism most affects the scheduling
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- Explain the concept of dynamic scheduling in modern processors and its impact on instruction-level parallelism.Explain the concept of dynamic multithreading and its advantages in parallel computing.What are the obstacles to developing a cache replacement mechanism that is compatible with any given address sequence?
- What obstacles must be surmounted to devise a method for replacing cache that is compatible with any address sequence?How does multithreading relate to parallelism, and what are the key differences between the two concepts?For a direct-mapped cache design with a 32-bit address, the following bitsof the address are used to access the cache. Use the table below. a. What is the cache block size (in words)?b. How many entries does the cache have?c. What is the ration between total bits required for such a cache implementation overthe data storage bit?
- Compare the cake-making task to computing 3 iterations of a loop on a parallel computer. Identify data-level parallelism and task-level parallelism in the cake-making loop.Define Cache coherence.If you want to compare the time it takes to make a cake to the time it takes to calculate three iterations of a loop on a parallel computer, think about making a cake. Locate and describe instances of data-level and task-level parallelism in the baking process.