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Optimizing the Fast Fourier Transfor...
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Chen, Long.
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Optimizing the Fast Fourier Transform on a many-core architecture.
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Optimizing the Fast Fourier Transform on a many-core architecture./
作者:
Chen, Long.
面頁冊數:
66 p.
附註:
Adviser: Guang R. Gao.
Contained By:
Masters Abstracts International46-04.
標題:
Engineering, Electronics and Electrical. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1450065
ISBN:
9780549386919
Optimizing the Fast Fourier Transform on a many-core architecture.
Chen, Long.
Optimizing the Fast Fourier Transform on a many-core architecture.
- 66 p.
Adviser: Guang R. Gao.
Thesis (M.S.)--University of Delaware, 2008.
The rapid revolution in microprocessor chip architecture due to multi-core and many-core technology is presenting an unprecedented challenge to the application developers as well as system software designers: how to exploit the performance potential due to such architectures effectively and efficiently?
ISBN: 9780549386919Subjects--Topical Terms:
626636
Engineering, Electronics and Electrical.
Optimizing the Fast Fourier Transform on a many-core architecture.
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The rapid revolution in microprocessor chip architecture due to multi-core and many-core technology is presenting an unprecedented challenge to the application developers as well as system software designers: how to exploit the performance potential due to such architectures effectively and efficiently?
520
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In this thesis, an in-depth study on optimizing the Fast Fourier Transform (FFT) on a many-core architecture is presented. The IBM Cyclops-64 (C64) chip architecture, the case study in this thesis, is a many-core chip architecture consisting of 160 thread units, associated memory banks and an interconnection network that connects them together in a shared memory organization.
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The study presented in this thesis demonstrates how many-core architectures, like the C64, could be used to achieve a scalable high-performance implementation of FFT both in 1D and 2D cases. The thesis also analyzes the optimization challenges and opportunities, including problem decomposition, load balancing, work distribution, and data-reuse, together with the exploiting of the C64 architecture features such as the massive parallelism, explicit multi-level memory hierarchy and large register files.
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The main contributions of this thesis include: (1) the development of scalable high-performance parallel FFT implementation on C64; (2) the study demonstrates that successful optimization for C64-like many-core architectures requires a careful analysis that can identify certain domain-specific features of a target application (e.g. FFT) and match them well with some key many-core architecture features; (3) the optimization procedure, assisted with the hand-tuned process, provides quantitative evidence on the importance of each optimization identified in (2) and valuable experience toward establishing an effective programming methodology for C64-like many-core architectures.
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