CPL - Chalmers Publication Library
| Utbildning | Forskning | Styrkeområden | Om Chalmers | In English In English Ej inloggad.

RADAR: Runtime-assisted dead region management for last-level caches

Madhavan Manivannan (Institutionen för data- och informationsteknik, Datorteknik (Chalmers)) ; Vasileios Papaefstathiou (Institutionen för data- och informationsteknik, Datorteknik (Chalmers)) ; Miquel Pericàs (Institutionen för data- och informationsteknik, Datorteknik (Chalmers)) ; Per Stenström (Institutionen för data- och informationsteknik, Datorteknik (Chalmers))
22nd IEEE International Symposium on High Performance Computer Architecture, HPCA 2016, Barcelona, Spain, 12-16 March 2016 (1530-0897). p. 644-656. (2016)
[Konferensbidrag, refereegranskat]

Last-level caches (LLCs) bridge the processor/memory speed gap and reduce energy consumed per access. Unfortunately, LLCs are poorly utilized because of the relatively large occurrence of dead blocks. We propose RADAR, a hybrid static/dynamic dead-block management technique that can accurately predict and evict dead blocks in LLCs. RADAR does dead-block prediction and eviction at the granularity of address regions supported in many of today's task-parallel programming models. The runtime system utilizes static control-flow information about future region accesses in conjunction with past region access patterns to make accurate predictions about dead regions. The runtime system instructs the cache to demote and eventually evict blocks belonging to such dead regions. This paper considers three RADAR schemes to predict dead regions: a scheme that uses control-flow information provided by the programming model (Look-ahead), a history-based scheme (Look-back) and a combined scheme (Look-ahead and Look-back). Our evaluation shows that, on average, all RADAR schemes outperform state-of-the-art hardware dead-block prediction techniques, whereas the combined scheme always performs best.

Den här publikationen ingår i följande styrkeområden:

Läs mer om Chalmers styrkeområden  

Denna post skapades 2016-07-08. Senast ändrad 2017-01-27.
CPL Pubid: 239213


Läs direkt!

Länk till annan sajt (kan kräva inloggning)