Accelerated Analysis of Simulation Dumps through Parallelization on Multicore Architectures
| Autor: | Roberto Ugioli, Paolo Bernardi, S. Quer, S. Littardi, Giorgio Pollaccia, D. Appello, V. Tancorre, A. Calabrese |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
010302 applied physics
Multi-core processor Computer science simulation analysis 02 engineering and technology Parallel computing Automatic test pattern generation Fault (power engineering) File format parallel applications and architectures 01 natural sciences 020202 computer hardware & architecture Value change dump Memory management 0103 physical sciences Scalability Automotive SoCs Burn-In 0202 electrical engineering electronic engineering information engineering Testability |
| Zdroj: | DDECS |
| Popis: | With the explosion of off-the-shelf SoCs in terms of size and the advent of novel techniques related to failure modes, commercial ATPG and fault simulation engines can often be insufficient to measure the coverage of very specific metrics. In these cases, many researchers firstly store the simulation trace during the analysis phase. Then, they collect the desired statistics during a post-processing step. In this framework, the so-called Value Change Dump (VCD) is a very commonly used file format to record simulation traces. The target of this paper is twofold. From the one hand, we illustrate some Burn-In (BI) related metrics which cannot be evaluated by current commercial fault simulators and ATPG engines. These metrics are indeed based on a post-processing analysis of memory dumps in VCD format. From the other hand, we mitigate the evaluation time and the memory required to analyze huge VCD files by exploiting optimization techniques coming from modern programming features and smart parallelization. Adopting this strategy, we can analyze simulation dumps of more than 250 GBytes in less than one hour, showing improvements of two orders of magnitude over previous tools, with a consequent higher scalability and testability power. |
| Databáze: | OpenAIRE |
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