Cache-Conscious Thread Scheduling for Massively Multithreaded Processors
Timothy G. Rogers, Mike O’Connor, Tor M. Aamodt
Abstract
Timothy G. Rogers, Mike O’Connor, Tor M. Aamodt
Abstract
Highly multithreaded architectures introduce another dimension to fine-grained hardware cache management. The order in which the system's threads issue instructions can significantly impact the access stream seen by the caching system. This article studies a set of economically important server applications and presents the cache-conscious wavefront scheduling (CCWS) hardware mechanism, which uses feedback from the memory system to guide the issue-level thread scheduler and shape the access pattern seen by the first-level cache.
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Highly multithreaded architectures introduce another dimension to fine-grained hardware cache management. The order in which the system's threads issue instructions can significantly impact the access stream seen by the caching system. This article studies a set of economically important server applications and presents the cache-conscious wavefront scheduling (CCWS) hardware mechanism, which uses feedback from the memory system to guide the issue-level thread scheduler and shape the access pattern seen by the first-level cache.
Key concepts: Computer science, Cache, Thread (computing), Parallel computing, Scheduling (production processes), Cache algorithms, Operating system, Cache pollution