CASH: correlation-aware scheduling to mitigate soft error impact on heterogeneous multicores
With the exponential increase in the number of transistors under fast-paced technology progress, the soft error induced reliability issue is becoming even more challenging in heterogeneous multicore processor design. As there are significant opportunities to mitigate the soft error impacts through h...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2021-04-01
|
| Series: | Connection Science |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/09540091.2020.1758924 |
| _version_ | 1797684066812690432 |
|---|---|
| author | Jiajia Jiao Libao Wang Yanxiang Li Dezhi Han Min Yao Kuan-Ching Li Hai Jiang |
| author_facet | Jiajia Jiao Libao Wang Yanxiang Li Dezhi Han Min Yao Kuan-Ching Li Hai Jiang |
| author_sort | Jiajia Jiao |
| collection | DOAJ |
| description | With the exponential increase in the number of transistors under fast-paced technology progress, the soft error induced reliability issue is becoming even more challenging in heterogeneous multicore processor design. As there are significant opportunities to mitigate the soft error impacts through heterogeneous multicore scheduling, we show in this paper that the correlation among multiple applications exhibits important reliability characteristics, by defining a new metric to measure the system-level vulnerability factor of multiple applications and an approximate estimator to evaluate the metric fast and accurately for effective scheduling decisions. To approach these issues, we propose CASH, a Correlation-Aware Scheduling strategy to optimise heterogeneous multicore system reliability. Comprehensive simulation results demonstrate that the proposed approach is promising, achieving up to 21.4% reliability improvement with only 3.6% performance degradation when compared with performance-oriented scheduling policy. |
| first_indexed | 2024-03-12T00:24:00Z |
| format | Article |
| id | doaj.art-5546d4ab002e47bc89f129e71276f1e7 |
| institution | Directory Open Access Journal |
| issn | 0954-0091 1360-0494 |
| language | English |
| last_indexed | 2024-03-12T00:24:00Z |
| publishDate | 2021-04-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Connection Science |
| spelling | doaj.art-5546d4ab002e47bc89f129e71276f1e72023-09-15T10:47:58ZengTaylor & Francis GroupConnection Science0954-00911360-04942021-04-0133211313510.1080/09540091.2020.17589241758924CASH: correlation-aware scheduling to mitigate soft error impact on heterogeneous multicoresJiajia Jiao0Libao Wang1Yanxiang Li2Dezhi Han3Min Yao4Kuan-Ching Li5Hai Jiang6Shanghai Maritime UniversityShanghai Maritime UniversityShanghai Maritime UniversityShanghai Maritime UniversityShanghai Maritime UniversityProvidence UniversityArkansas State UniversityWith the exponential increase in the number of transistors under fast-paced technology progress, the soft error induced reliability issue is becoming even more challenging in heterogeneous multicore processor design. As there are significant opportunities to mitigate the soft error impacts through heterogeneous multicore scheduling, we show in this paper that the correlation among multiple applications exhibits important reliability characteristics, by defining a new metric to measure the system-level vulnerability factor of multiple applications and an approximate estimator to evaluate the metric fast and accurately for effective scheduling decisions. To approach these issues, we propose CASH, a Correlation-Aware Scheduling strategy to optimise heterogeneous multicore system reliability. Comprehensive simulation results demonstrate that the proposed approach is promising, achieving up to 21.4% reliability improvement with only 3.6% performance degradation when compared with performance-oriented scheduling policy.http://dx.doi.org/10.1080/09540091.2020.1758924reliabilitysoft errorcorrelationheterogeneous multicorescheduling |
| spellingShingle | Jiajia Jiao Libao Wang Yanxiang Li Dezhi Han Min Yao Kuan-Ching Li Hai Jiang CASH: correlation-aware scheduling to mitigate soft error impact on heterogeneous multicores Connection Science reliability soft error correlation heterogeneous multicore scheduling |
| title | CASH: correlation-aware scheduling to mitigate soft error impact on heterogeneous multicores |
| title_full | CASH: correlation-aware scheduling to mitigate soft error impact on heterogeneous multicores |
| title_fullStr | CASH: correlation-aware scheduling to mitigate soft error impact on heterogeneous multicores |
| title_full_unstemmed | CASH: correlation-aware scheduling to mitigate soft error impact on heterogeneous multicores |
| title_short | CASH: correlation-aware scheduling to mitigate soft error impact on heterogeneous multicores |
| title_sort | cash correlation aware scheduling to mitigate soft error impact on heterogeneous multicores |
| topic | reliability soft error correlation heterogeneous multicore scheduling |
| url | http://dx.doi.org/10.1080/09540091.2020.1758924 |
| work_keys_str_mv | AT jiajiajiao cashcorrelationawareschedulingtomitigatesofterrorimpactonheterogeneousmulticores AT libaowang cashcorrelationawareschedulingtomitigatesofterrorimpactonheterogeneousmulticores AT yanxiangli cashcorrelationawareschedulingtomitigatesofterrorimpactonheterogeneousmulticores AT dezhihan cashcorrelationawareschedulingtomitigatesofterrorimpactonheterogeneousmulticores AT minyao cashcorrelationawareschedulingtomitigatesofterrorimpactonheterogeneousmulticores AT kuanchingli cashcorrelationawareschedulingtomitigatesofterrorimpactonheterogeneousmulticores AT haijiang cashcorrelationawareschedulingtomitigatesofterrorimpactonheterogeneousmulticores |