What are the key technologies driving parallelism in computing?
Key technologies include multi-core processors, GPUs, distributed computing, and parallel programming frameworks like MPI and OpenMP.
How do multi-core processors enhance parallelism?
Multi-core processors allow multiple processes to run simultaneously, improving performance for parallel tasks.
Can you explain how GPUs contribute to parallel computing?
GPUs are designed for parallel processing, handling thousands of threads simultaneously, making them ideal for tasks like graphics rendering and machine learning.
What is distributed computing and how does it relate to parallelism?
Distributed computing involves multiple computers working together on a task, enhancing parallelism by dividing workloads across different systems.
What are some challenges in implementing parallel computing?
Challenges include data synchronization, load balancing, and managing communication overhead between parallel processes.
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