A Flexible Heterogeneous Multi-Core Architecture

Multi-core processors naturally exploit thread-level parallelism (TLP). However, extracting instruction-level parallelism (ILP) from individual applications or threads is still a challenge as application mixes in this environment are nonuniform. Thus, multi-core processors should be flexible enough...

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Vydáno v:16th International Conference on Parallel Architecture and Compilation Techniques (PACT 2007) s. 13 - 24
Hlavní autoři: Pericas, M., Cristal, A., Cazorla, F.J., Gonzalez, R., Jimenez, D.A., Valero, M.
Médium: Konferenční příspěvek Publikace
Jazyk:angličtina
Vydáno: IEEE 01.09.2007
Institute of Electrical and Electronics Engineers (IEEE)
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ISBN:0769529445, 9780769529448
ISSN:1089-795X
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Shrnutí:Multi-core processors naturally exploit thread-level parallelism (TLP). However, extracting instruction-level parallelism (ILP) from individual applications or threads is still a challenge as application mixes in this environment are nonuniform. Thus, multi-core processors should be flexible enough to provide high throughput for uniform parallel applications as well as high performance for more general workloads. Heterogeneous architectures are a first step in this direction, but partitioning remains static and only roughly fits application requirements. This paper proposes the Flexible Heterogeneous Mul-tiCore processor (FMC), the first dynamic heterogeneous multi-core architecture capable of reconfiguring itself to fit application requirements without programmer intervention. The basic building block of this microarchitecture is a scalable, variable-size window microarchitecture that exploits the concept of Execution Locality to provide large-window capabilities. This allows to overcome the memory wall for applications with high memory-level parallelism (MLP). The microarchitecture contains a set of small and fast cache processors that execute high locality code and a network of small in-order memory engines that together exploit low locality code. Single-threaded applications can use the entire network of cores while multi-threaded applications can efficiently share the resources. The sizing of critical structures remains small enough to handle current power envelopes. In single-threaded mode this processor is able to outperform previous state-of-the-art high-performance processor research by 12% on SpecFP. We show how in a quad- threaded/quad-core environment the processor outperforms a statically allocated configuration in both throughput and harmonic mean, two commonly used metrics to evaluate SMTperformance, by around 2-4%. This is achieved while using a very simple sharing algorithm.
Bibliografie:SourceType-Conference Papers & Proceedings-1
ObjectType-Conference Paper-1
content type line 25
ISBN:0769529445
9780769529448
ISSN:1089-795X
DOI:10.1109/PACT.2007.4336196