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From Hardware Trace to System Knowledge – Data-intensive Hardware Trace Analysis

Authors:
Andreas Gajda
Rainer G. Spallek

Keywords: large data streams; data- processing pipelines; hardware trace analysis; analysis frame- work

Abstract:
The capture of large amounts of hardware trace data by recent hardware trace units in System-on-a-Chip (SoC) defines the new requirements for hardware trace analysis. Several hundreds of MiB need to be processed in near real-time. The requirements on analyses are further increased with long-term trace capture and increasing frequencies of SoC. Hence, hardware trace analysis has become a data-intensive computing task. The article proposes an approach based on data, functional and pipeline parallelism in combination with data stream processing. As this is a ‘work in progress’, we will only outline the approach and the preconditions and decisions leading to the approach.

Pages: 1 to 4

Copyright: Copyright (c) IARIA, 2012

Publication date: March 25, 2012

Published in: conference

ISBN: 978-1-61208-188-5

Location: St. Maarten, The Netherlands Antilles

Dates: from March 25, 2012 to March 30, 2012