2013•IEEE MicroRequires access

Cache-Conscious Thread Scheduling for Massively Multithreaded Processors

Timothy G. Rogers, Mike O’Connor, Tor M. Aamodt

Open publisher page 6 citations

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.

About this research paper

What this paper is about

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.

Why it matters

OpenAlex reports 6 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available 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.

Key concepts: Computer science, Cache, Thread (computing), Parallel computing, Scheduling (production processes), Cache algorithms, Operating system, Cache pollution

Related papers

Back to paper searchBrowse research topicsOriginal source
Cache-Conscious Thread Scheduling for Massively Multithreaded Processors — Research Paper | ScholarLens