A hybrid strategy based on data distribution and migration for optimizing memory locality


Kadayif I. , KANDEMIR M., CHOUDHARY A.

LANGUAGES AND COMPILERS FOR PARALLEL COMPUTING, cilt.2481, ss.111-125, 2005 (SCI İndekslerine Giren Dergi) identifier identifier

  • Cilt numarası: 2481
  • Basım Tarihi: 2005
  • Doi Numarası: 10.1007/11596110_8
  • Dergi Adı: LANGUAGES AND COMPILERS FOR PARALLEL COMPUTING
  • Sayfa Sayıları: ss.111-125

Özet

The performance of a NUMA architecture depends on the efficient use of local memory. Therefore, software-level techniques that improve memory locality (in addition to parallelism) are extremely important to extract the best performance from these architectures. The proposed solutions so far include OS-based automatic data migrations and compiler-based static/dynamic data distributions.