Explain the significance of parallel processing and multi-core processors in handling large-scale data warehousing workloads.
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Explain the significance of parallel processing and multi-core processors in handling large-scale data warehousing workloads.
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- Explain the concept of memory hierarchy in computer architecture and its importance in improving system performance.Explain the concept of "memory hierarchy" in computer architecture and its role in balancing performance and cost in memory subsystems.Explain the concept of memory hierarchy in computer architecture. How does it impact system performance?
- Explain the concept of thread-level parallelism and how it is achieved in modern multi-core processors.Explain the concept of dynamic multithreading and its advantages in a multi-core processor environment.Explain the concept of memory hierarchy in computer systems and its significance in optimizing performance.
- Describe the use of microcontrollers and microprocessors in data warehousing systems. What functions do they perform in the overall architecture?Explain the concept of memory hierarchy in computer systems and its significance in optimizing system performance.Explain the concept of NUMA (Non-Uniform Memory Access) architecture and its implications for system performance.
- Describe the memory hierarchy and its significance in computer architecture.Explain the concept of NUMA (Non-Uniform Memory Access) architecture and its implications for memory performance in multi-socket and multi-core systems.Explain the concept of memory coherency in multi-core and multi-processor systems. What challenges arise when multiple processors access and modify shared memory, and how is coherency maintained?