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This paper presents Tornado, a novel operating system designed to maximize locality and concurrency in shared memory multiprocessor architectures. By leveraging intelligent scheduling and memory management techniques, Tornado enhances performance by optimizing resource utilization and minimizing latency. Our experiments demonstrate significant improvements in throughput and response times in multi-threaded applications. The design considers both software and hardware aspects, presenting an innovative approach for future multiprocessor systems. This research contributes to the ongoing efforts to improve efficiency in parallel processing environments.
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Tornado: Maximizing Locality And Concurrency In A Shared Memory Multiprocessor Operating System Ben Gamsa, Orran Krieger, Jonathan Appavoo, Michael Stumm Department of Electrical and Computer Engineering, University of Toronto, Toronto, Canada