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2014 23rd International Conference on Parallel Architecture and Compilation (PACT) (2014)
Edmonton, Canada
Aug. 23, 2014 to Aug. 27, 2014
ISBN: 978-1-5090-6607-0
pp: 369-380
Christiane Pousa , ETH Zürich
Edson Borin , Unicamp
Fernando Magno , Quintão Pereira, UFMG
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 let's 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 4×, 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.
Instruction sets, Resource management, Runtime, Topology, Computer architecture, Operating systems

G. Piccoli, H. N. Santos, R. E. Rodrigues, C. Pousa, E. Borin and F. Magno, "Compiler support for selective page migration in NUMA architectures," 2014 23rd International Conference on Parallel Architecture and Compilation (PACT), Edmonton, Canada, 2014, pp. 369-380.
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