Institutional Repository
Institutional Repository Institutional Repository Login  Institutional Repository  
  • UOC Library |
  •  |
  •  |

Home >
Academics >
IT, Multimedia and Telecommunications >
Computer Science >
Bachelor thesis, research projects, etc. >

Please use this identifier to cite or link to this item:
Title: Exploring Cross-layer power management for PGAS applications on the SCC platform
Authors: Gamell Balmanya, Marc
Director: Rodero Castro, Ivan
Other: Universitat Oberta de Catalunya
Keywords: PGAS
Unified Parallel C
Issue Date: Jan-2012
Publisher: Universitat Oberta de Catalunya
Type: Bachelor Thesis
Abstract: Technological limitations and power constraints are resulting in high-performance parallel computing architectures that are based on large numbers of high-core-count processors. Commercially available processors are now at 8 and 16 cores and experimental platforms, such as the many-core Intel Single-chip Cloud Computer (SCC) platform, provide much higher core counts. These trends are presenting new sets of challenges to HPC applications including programming complexity and the need for extreme energy efficiency. In this work, we first investigate the power behavior of scientific PGAS application kernels on the SCC platform, and explore opportunities and challenges for power management within the PGAS framework. Results obtained via empirical evaluation of Unified Parallel C (UPC) applications on the SCC platform under different constraints, show that, for specific operations, the potential for energy savings in PGAS is large; and power/performance trade-offs can be effectively managed using a cross-layer approach. We investigate cross-layer power management using PGAS language extensions and runtime mechanisms that manipulate power/performance tradeoffs. Specifically, we present the design, implementation and evaluation of such a middleware for application-aware cross-layer power management of UPC applications on the SCC platform. Finally, based on our observations, we provide a set of recommendations and insights that can be used to support similar power management for PGAS applications on other many-core platforms.
Language: eng
Appears in Collections:Bachelor thesis, research projects, etc.

Add This:


  0 (0 valuations)

Files in This Item:

File Description SizeFormat
marcgamellTFC0112memoria.pdfMemòria2.27 MBAdobe PDFPreview  Download
marcgamellTFC0112presentacio.pdfPresentació1.39 MBAdobe PDFPreview  Download

Author names in Twitter

Author names in FriendFeed

Recommend this item

SFX Query

This item is licensed under a Creative Commons License
Creative Commons

Items in Repository e are protected by copyright, with all rights reserved, unless otherwise indicated.


The library replies
A product of the Universitat Oberta de Catalunya Virtual Library
Legal notice | Cookie policy