NDLI: Soft-OLP: Improving Hardware Cache Performance through Software-Controlled Object-Level Partitioning

Content Provider	IEEE Xplore Digital Library
Author	Qingda Lu Jiang Lin Xiaoning Ding Zhao Zhang Xiaodong Zhang Sadayappan, P.
Copyright Year	2009
Abstract	Performance degradation of memory-intensive programs caused by the LRU policy's inability to handle weak-locality data accesses in the last level cache is increasingly serious for two reasons. First, the last-level cache remains in the CPU's critical path, where only simple management mechanisms, such as LRU, can be used, precluding some sophisticated hardware mechanisms to address the problem. Second, the commonly used shared cache structure of multi-core processors has made this critical path even more performance-sensitive due to intensive inter-thread contention for shared cache resources. Researchers have recently made efforts to address the problem with the LRU policy by partitioning the cache using hardware or OS facilities guided by run-time locality information. Such approaches often rely on special hardware support or lack enough accuracy. In contrast, for a large class of programs, the locality information can be accurately predicted if access patterns are recognized through small training runs at the data object level. To achieve this goal, we present a system-software framework referred to as Soft-OLP (Software-based Object-Level cache Partitioning). We first collect per-object reuse distance histograms and inter-object interference histograms via memory-trace sampling. With several low-cost training runs, we are able to determine the locality patterns of data objects. For the actual runs, we categorize data objects into different locality types and partition the cache space among data objects with a heuristic algorithm, in order to reduce cache misses through segregation of contending objects. The object-level cache partitioning framework has been implemented with a modified Linux kernel, and tested on a commodity multi-core processor. Experimental results show that in comparison with a standard L2 cache managed by LRU, Soft-OLP significantly reduces the execution time by reducing L2 cache misses across inputs for a set of single- and multi-threaded programs from the SPEC CPU2000 benchmark suite, NAS benchmarks and a computational kernel set.
Starting Page	246
Ending Page	257
File Size	536415
Page Count	12
File Format	PDF
ISBN	9780769537719
ISSN	1089795X
DOI	10.1109/PACT.2009.35
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-12
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Hardware Multicore processing Histograms Kernel Benchmark testing Degradation Runtime Pattern recognition Interference Sampling methods Page Coloring Cache Partitioning Software-Controlled Caching Reuse Distance
Content Type	Text
Resource Type	Article
Subject	Theoretical Computer Science Hardware and Architecture Software

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Soft-olp: improving hardware cache performance through software-controlled object-level partitioning.

Soft-OLP: Improving Hardware Cache Performance Through Software-Controlled Object-Level Partitioning

Lightweight Dynamic Partitioning for Last Level Cache of Multicore Processor on Real System

Code-based cache partitioning for improving hardware cache performance

Towards practical page coloring-based multicore cache management

Studying multicore processor scaling via reuse distance analysis.

Runtime-driven shared last-level cache management for task-parallel programs

Fast modeling L2 cache reuse distance histograms using combined locality information from software traces

COLORIS: a dynamic cache partitioning system using page coloring

Soft-OLP: Improving Hardware Cache Performance through Software-Controlled Object-Level Partitioning

Similar Documents

Soft-olp: improving hardware cache performance through software-controlled object-level partitioning.

Soft-OLP: Improving Hardware Cache Performance Through Software-Controlled Object-Level Partitioning

Lightweight Dynamic Partitioning for Last Level Cache of Multicore Processor on Real System

Code-based cache partitioning for improving hardware cache performance

Towards practical page coloring-based multicore cache management

Studying multicore processor scaling via reuse distance analysis.

Runtime-driven shared last-level cache management for task-parallel programs

Fast modeling L2 cache reuse distance histograms using combined locality information from software traces

COLORIS: a dynamic cache partitioning system using page coloring

Soft-OLP: Improving Hardware Cache Performance through Software-Controlled Object-Level Partitioning