Compiler support for selective page migration in NUMA architectures
Guilherme Piccoli, Henrique N. Santos, Raphael E. Rodrigues, Christiane Pousa, Edson Borin, Fernando Magno
ARTIGO
Inglês
Abstract: Current high-performance multicore processors provide users with a non-uniform memory access model (NUMA). These systems perform better when threads access data on memory banks next to the core where they run. However, ensuring data locality is difficult. In this paper, we propose compiler...
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Abstract: Current high-performance multicore processors provide users with a non-uniform memory access model (NUMA). These systems perform better when threads access data on memory banks next to the core where they run. However, ensuring data locality is difficult. In this paper, we propose compiler analyses and code generation methods to support a lightweight runtime system that dynamically migrates memory pages to improve data locality. Our technique combines static and dynamic analyses and is capable of identifying the most promising pages to migrate. Statically, we infer the size of arrays, plus the amount of reuse of each memory access instruction in a program. These estimates rely on a simple, yet accurate, trip count predictor of our own design. This knowledge lets us build templates of dynamic checks, to be filled with values known only at runtime. These checks determine when it is profitable to migrate data closer to the processors where this data is used. Our static analyses are quadratic on the number of variables in a program, and the dynamic checks are O(1) in practice. Our technique does not require any form of user intervention, neither the support of a third-party middleware, nor modifications in the operating system's kernel. We have applied our technique on several parallel algorithms, which are completely oblivious to the asymmetric memory topology, and have observed speedups of up to 4x, compared to static heuristics. We compare our approach against Minas, a middleware that supports NUMA-aware data allocation, and show that we can outperform it by up to 50% in some cases
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FUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULO - FAPESP
CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO - CNPQ
COORDENAÇÃO DE APERFEIÇOAMENTO DE PESSOAL DE NÍVEL SUPERIOR - CAPES
FUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE MINAS GERAIS - FAPEMIG
fechado
DOI: https://doi.org/10.1145/2628071.2628077
Texto completo: https://ieeexplore.ieee.org/document/7855914
Compiler support for selective page migration in NUMA architectures
Guilherme Piccoli, Henrique N. Santos, Raphael E. Rodrigues, Christiane Pousa, Edson Borin, Fernando Magno
Compiler support for selective page migration in NUMA architectures
Guilherme Piccoli, Henrique N. Santos, Raphael E. Rodrigues, Christiane Pousa, Edson Borin, Fernando Magno
Fontes
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International conference on parallel architecture and compilation techniques. Proceedings (2014), p. 369-380 |