SC12 Home > SC12 Schedule > SC12 Presentation - Compiler-Directed File Layout Optimization for Hierarchical Storage Systems

SCHEDULE: NOV 10-16, 2012

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Compiler-Directed File Layout Optimization for Hierarchical Storage Systems

SESSION: Compiler-Based Analysis and Optimization

EVENT TYPE: Papers, Best Student Paper Finalists

TIME: 11:30AM - 12:00PM

SESSION CHAIR: Xipeng Shen

AUTHOR(S):Wei Ding, Yuanrui Zhang, Mahmut Kandemir, Seung Woo Son

ROOM:255-EF

ABSTRACT:
File layout of array data is a critical factor that effects the behavior of storage caches, and has so far taken not much attention in the context of hierarchical storage systems. The main contribution of this paper is a compiler-driven file layout optimization scheme for hierarchical storage caches. This approach, fully automated within an optimizing compiler, analyzes a multi-threaded application code and determines a file layout for each disk-resident array referenced by the code, such that the performance of the target storage cache hierarchy is maximized. We tested our approach using 16 I/O intensive application programs and compared its performance against two previously proposed approaches under different cache space management schemes. Our experimental results show that the proposed approach improves the execution time of these parallel applications by 23.7% on average.

Chair/Author Details:

Xipeng Shen (Chair) - College of William and Mary

Wei Ding - Pennsylvania State University

Yuanrui Zhang - Intel Corporation

Mahmut Kandemir - Pennsylvania State University

Seung Woo Son - Northwestern University

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Compiler-Directed File Layout Optimization for Hierarchical Storage Systems

SESSION: Compiler-Based Analysis and Optimization

EVENT TYPE: , Best Student Paper Finalists

TIME: 11:30AM - 12:00PM

SESSION CHAIR: Xipeng Shen

AUTHOR(S):Wei Ding, Yuanrui Zhang, Mahmut Kandemir, Seung Woo Son

ROOM:255-EF

ABSTRACT:
File layout of array data is a critical factor that effects the behavior of storage caches, and has so far taken not much attention in the context of hierarchical storage systems. The main contribution of this paper is a compiler-driven file layout optimization scheme for hierarchical storage caches. This approach, fully automated within an optimizing compiler, analyzes a multi-threaded application code and determines a file layout for each disk-resident array referenced by the code, such that the performance of the target storage cache hierarchy is maximized. We tested our approach using 16 I/O intensive application programs and compared its performance against two previously proposed approaches under different cache space management schemes. Our experimental results show that the proposed approach improves the execution time of these parallel applications by 23.7% on average.

Chair/Author Details:

Xipeng Shen (Chair) - College of William and Mary

Wei Ding - Pennsylvania State University

Yuanrui Zhang - Intel Corporation

Mahmut Kandemir - Pennsylvania State University

Seung Woo Son - Northwestern University

Add to iCal  Click here to download .ics calendar file

Add to Outlook  Click here to download .vcs calendar file

Add to Google Calendarss  Click here to add event to your Google Calendar