QUAD – A Memory Access Pattern Analyser
| Autor: | Carlo Galuzzi, S. Arash Ostadzadeh, Koen Bertels, Roel Meeuws |
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| Rok vydání: | 2010 |
| Předmět: | |
| Zdroj: | Lecture Notes in Computer Science ISBN: 9783642121326 ARC |
| DOI: | 10.1007/978-3-642-12133-3_25 |
| Popis: | In this paper, we present the Quantitative Usage Analysis of Data (QUAD) tool, a sophisticated memory access tracing tool that provides a comprehensive quantitative analysis of memory access patterns of an application with the primary goal of detecting actual data dependencies at function-level. As improvements in processing performance continue to outpace improvements in memory performance, tools to understand memory access behaviors are inevitably vital for optimizing the execution of data-intensive applications on heterogeneous architectures. The tool, first in its kind, is described in detail and the benefit and the qualities of the presented tool are described on a real case study, the x264 benchmarking application. |
| Databáze: | OpenAIRE |
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