Architectural Comparison of Instruments for Transaction Level Monitoring of FPGA-Based Packet Processing Systems

McKechnie, Paul E.; Blott, Michaela; Vanderbauwhede, Wim

doi:10.1109/fccm.2009.31

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System-level Transaction Monitoring2

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2009

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“…The probes are capable of filtering any payload and the functionality may be tailored to the needs of the system being monitored, as described in [7].…”

Section: System-level Transaction Monitoringmentioning

confidence: 99%

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Automated instrumentation of FPGA-based systems for system-level transaction monitoring

McKechnie

Blott

Vanderbauwhede

2009

2009 International Symposium on System-on-Chip

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Modern FPGA-based systems are complex and dif ficult to verify. One approach to easing the verification problem and reducing perceived complexity is to use libraries of reusable functions. These reusable functions, known as intellectual prop erty blocks, are commonly created as netlists or RTL components.Complex systems can be created from IP blocks by using high level design environments. These tools define the types and semantics of component interfaces which permit systems to be debugged using system-level transaction monitoring. However, the insertion of on-chip monitoring circuitry is a manual process in FPGA design flows. In this paper we present an algorithm which exploits the high-level design environment to permit automatic instrumentation of designs. We demonstrate that the algorithm can harness existing HDL generation techniques and reduce the insertion and configuration effort required of the designer.

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“…The probes are capable of filtering any payload and the functionality may be tailored to the needs of the system being monitored, as described in [7].…”

Section: System-level Transaction Monitoringmentioning

confidence: 99%

“…In this section we present the architecture of a high-level monitoring mechanism, which abstracts signal transitions to high-level events and provides a system-level perspective. The implementation details are given in [7] and [8].…”

Section: System-level Transaction Monitoringmentioning

confidence: 99%