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2020-03-16
Goli, Mehran, Drechsler, Rolf.  2019.  Scalable Simulation-Based Verification of SystemC-Based Virtual Prototypes. 2019 22nd Euromicro Conference on Digital System Design (DSD). :522–529.
Virtual Prototypes (VPs) at the Electronic System Level (ESL) written in SystemC language using its Transaction Level Modeling (TLM) framework are increasingly adopted by the semiconductor industry. The main reason is that VPs are much earlier available, and their simulation is orders of magnitude faster in comparison to the hardware models implemented at lower levels of abstraction (e.g. RTL). This leads designers to use VPs as reference models for an early design verification. Hence, the correctness assurance of these reference models (VPs) is critical as undetected faults may propagate to less abstract levels in the design process, increasing the fixing cost and effort. In this paper, we propose a novel simulation-based verification approach to automatically validate the simulation behavior of a given SystemC VP against both the TLM-2.0 rules and its specifications (i.e. functional and timing behavior of communications in the VP). The scalability and the efficiency of the proposed approach are demonstrated using an extensive set of experiments including a real-word VP.
2018-09-12
Domínguez, A., Carballo, P. P., Núñez, A..  2017.  Programmable SoC platform for deep packet inspection using enhanced Boyer-Moore algorithm. 2017 12th International Symposium on Reconfigurable Communication-centric Systems-on-Chip (ReCoSoC). :1–8.

This paper describes the work done to design a SoC platform for real-time on-line pattern search in TCP packets for Deep Packet Inspection (DPI) applications. The platform is based on a Xilinx Zynq programmable SoC and includes an accelerator that implements a pattern search engine that extends the original Boyer-Moore algorithm with timing and logical rules, that produces a very complex set of rules. Also, the platform implements different modes of operation, including SIMD and MISD parallelism, which can be configured on-line. The platform is scalable depending of the analysis requirement up to 8 Gbps. High-Level synthesis and platform based design methodologies have been used to reduce the time to market of the completed system.