Detail publikačního výsledku

Towards Beneficial Hardware Acceleration in HAVEN: Evaluation of Testbed Architectures

ZACHARIÁŠOVÁ, M.; LENGÁL, O.

Originální název

Towards Beneficial Hardware Acceleration in HAVEN: Evaluation of Testbed Architectures

Anglický název

Towards Beneficial Hardware Acceleration in HAVEN: Evaluation of Testbed Architectures

Druh

Článek recenzovaný mimo WoS a Scopus

Originální abstrakt

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.

Anglický abstrakt

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.

Klíčová slova

functional verification, HAVEN, hardware acceleration, FPGA

Klíčová slova v angličtině

functional verification, HAVEN, hardware acceleration, FPGA

Autoři

ZACHARIÁŠOVÁ, M.; LENGÁL, O.

Vydáno

12.09.2012

ISSN

0302-9743

Periodikum

Lecture Notes in Computer Science

Svazek

2013

Číslo

7857

Stát

Spolková republika Německo

Strany od

266

Strany do

273

Strany počet

6

BibTex

@article{BUT192855,
  author="Marcela {Zachariášová} and Ondřej {Lengál}",
  title="Towards Beneficial Hardware Acceleration in HAVEN: Evaluation of Testbed Architectures",
  journal="Lecture Notes in Computer Science",
  year="2012",
  volume="2013",
  number="7857",
  pages="266--273",
  issn="0302-9743"
}