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Scalability evaluation of a polymorphic register file: a CG case study

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10.1007/978-3-642-19137-4_2
 
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hdl:2117/24855

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Ciobanu, Catalin
Martorell Bofill, XavierMés informacióMés informacióMés informació
Kuzmanov, Georgi
Ramírez Bellido, Alejandro
Gaydadjiev, Georgi
Document typeConference report
Defense date2011
PublisherSpringer
Rights accessRestricted access - publisher's policy
Attribution-NonCommercial-NoDerivs 3.0 Spain
This work is protected by the corresponding intellectual and industrial property rights. Except where otherwise noted, its contents are licensed under a Creative Commons license : Attribution-NonCommercial-NoDerivs 3.0 Spain
ProjectHIPEAC - High Performance and Embedded Architecture and Compilation (EC-FP7-217068)
Abstract
We evaluate the scalability of a Polymorphic Register File using the Conjugate Gradient method as a case study. We focus on a heterogeneous multi-processor architecture, taking into consideration critical parameters such as cache bandwidth and memory latency. We compare the performance of 256 Polymorphic Register File-augmented workers against a single Cell PowerPC Processor Unit (PPU). In such a scenario, simulation results suggest that for the Sparse Matrix Vector Multiplication kernel, absolute speedups of up to 200 times can be obtained. Moreover, when equal number of workers in the range 1-256 is employed, our design is between 1.7 and 4.2 times faster than a Cell PPU-based system. Furthermore, we study the memory latency and cache bandwidth impact on the sustainable speedups of the system considered. Our tests suggest that a 128 worker configuration requires the caches to deliver 1638.4 GB/sec in order to preserve 80% of its peak speedup.
CitationCiobanu, C. [et al.]. Scalability evaluation of a polymorphic register file: a CG case study. A: International Conference on Architecture of Computing Systems. "Architecture of Computing Systems: ARCS 2011: 24th International Conference: Como, Italy: February 24-25, 2011: proceedings". Como: Springer, 2011, p. 13-25. 
URIhttp://hdl.handle.net/2117/24855
DOI10.1007/978-3-642-19137-4_2
ISBN978-3-642-19136-7
Publisher versionhttp://link.springer.com/chapter/10.1007%2F978-3-642-19137-4_2
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  • CAP - Grup de Computació d'Altes Prestacions - Ponències/Comunicacions de congressos [784]
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