A hybrid strategy based on data distribution and migration for optimizing memory locality
LANGUAGES AND COMPILERS FOR PARALLEL COMPUTING, cilt.2481, ss.111-125, 2005 (SCI-Expanded)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 2481
- Basım Tarihi: 2005
- Doi Numarası: 10.1007/11596110_8
- Dergi Adı: LANGUAGES AND COMPILERS FOR PARALLEL COMPUTING
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
- Sayfa Sayıları: ss.111-125
- Çanakkale Onsekiz Mart Üniversitesi Adresli: Evet
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.