Abstract
Simultaneous multithreading (SMT) is being incorporated into modern superscalar microprocessors, allowing several independent threads to issue instructions to the functional units in a single cycle. Effective use of the SMT can hide the inefficiencies caused by long operation latencies, thereby yielding a better utilization of the processor’s resources. In this paper we explore techniques to efficiently exploit this capability and its interaction with short-vector processing. We put special emphasis on the differences in algorithm tuning between SMT architectures and shared memory symmetric multiprocessors. As a case study we have chosen the well known Discrete Wavelet Transform (DWT), a central-piece in some image and video coding standards such as MPEG-4 or JPEG-2000.
This work has been supported by the Spanish research grant TIC 2002-750.
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Tenllado, C., Garcia, C., Prieto, M., Piñuel, L., Tirado, F. (2005). Exploiting Multilevel Parallelism Within Modern Microprocessors: DWT as a Case Study . In: Daydé, M., Dongarra, J., Hernández, V., Palma, J.M.L.M. (eds) High Performance Computing for Computational Science - VECPAR 2004. VECPAR 2004. Lecture Notes in Computer Science, vol 3402. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11403937_42
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DOI: https://doi.org/10.1007/11403937_42
Publisher Name: Springer, Berlin, Heidelberg
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