Publication Details

Towards Beneficial Hardware Acceleration in HAVEN: Evaluation of Testbed Architectures

ZACHARIÁŠOVÁ Marcela and LENGÁL Ondřej. Towards Beneficial Hardware Acceleration in HAVEN: Evaluation of Testbed Architectures. Lecture Notes in Computer Science, vol. 2013, no. 7857, 2012, pp. 266-273. ISSN 0302-9743.
Czech title
Hardwarová akcelerace v rámci HAVEN: Vyhodnocení různých architektur
journal article

functional verification, HAVEN, hardware acceleration, FPGA


Functional verification is a widespread technique to check whether a hardware system satisfies a given correctness specification. As the complexity of modern hardware systems rises rapidly, it is a challenging task to find appropriate techniques for acceleration of this process. In our previous work, we developed HAVEN, an open verification framework that enables hardware acceleration of functional verification runs by moving the design under test (DUT) into a verification environment in a field-programmable gate array (FPGA). In the original version of HAVEN, the generator of input stimuli, the scoreboard and the transfer function still resided in a software simulator, and the peak acceleration ratio achieved was over 1,000. In the currently presented paper, we further
extend HAVEN with hardware acceleration of the remaining parts of the verification environment. This enables the user to choose from several different testbed architectures which are evaluated and compared. We show that each architecture provides a different trade-off between the comfort of verification and the degree of acceleration. Using the highest degree of acceleration, we were able to achieve the speed-up in the order of hundreds of thousands while still being able to employ assertion and coverage analysis.

Lecture Notes in Computer Science, vol. 2013, no. 7857, ISSN 0302-9743
Springer Verlag
   author = "Marcela Zachari\'{a}\v{s}ov\'{a} and Ond\v{r}ej Leng\'{a}l",
   title = "Towards Beneficial Hardware Acceleration in HAVEN: Evaluation of Testbed Architectures",
   pages = "266--273",
   journal = "Lecture Notes in Computer Science",
   volume = 2013,
   number = 7857,
   year = 2012,
   ISSN = "0302-9743",
   language = "english",
   url = ""
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