We describe a model of Field Programmable Gate Array based systems realised with the Stochastic Activity Networks formalism. The model can be used (i) to debug the circuit design synthesised from the high level description of the system, and (ii) to calculate the signal probabilities and transition densities of the circuit design, which are parameters that can be used for reliability analysis, power consumption estimation and pseudo random testing. We validate the developed model by reproducing the results presented in other studies for some representative combinatorial circuits, and we explore the applicability of the proposed model in the analysis of real-world devices by analysing the actual implementation of a circuit for the generation of Cyclic Redundancy Check codes.
A Tool for Signal Probability Analysis of FPGA-Based Systems
BERNARDESCHI, CINZIA;CASSANO, LUCA MARIA;DOMENICI, ANDREA;MASCI, PAOLO MANUEL
2011-01-01
Abstract
We describe a model of Field Programmable Gate Array based systems realised with the Stochastic Activity Networks formalism. The model can be used (i) to debug the circuit design synthesised from the high level description of the system, and (ii) to calculate the signal probabilities and transition densities of the circuit design, which are parameters that can be used for reliability analysis, power consumption estimation and pseudo random testing. We validate the developed model by reproducing the results presented in other studies for some representative combinatorial circuits, and we explore the applicability of the proposed model in the analysis of real-world devices by analysing the actual implementation of a circuit for the generation of Cyclic Redundancy Check codes.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
