Abstract
This paper gives a short description of a novel approach to automatic generation of high probing random instruction sequences that are used in validation of processors. The approach is based on integration of constraint programming (CP) with techniques from operations research (OR) and compilation of programming languages.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Bentley, B.: High Level Validation of Next-Generation Microprocessors. In: Proc. of the 7th IEEE International Workshop on High Level Design Validation and Test (October 2002)
Naveh, Y., et al.: Constraint-Based Random Stimuli Generation for Hardware Verification. AI Magazine 28(3), 13 (2007)
Gutkovich, B., Moss, A.: CP with Architectural State Lookup for Functional Test Generation. In: 11th Annual IEEE International Workshop on High Level Design Validation and Test, pp. 111–118 (2006)
ILOG Solver 6.5 Reference Manual (October 2007)
Aharoni, M., et al.: FPgen - A Test Generation Framework for Datapath Floating-Point Verification. In: Proc. of the 8th IEEE International Workshop on High Level Design Validation and Test, pp. 17–22 (2003)
ILOG CPLEX C++ API 11.0 Reference Manual (2007)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Gutkovich, B. (2008). Integration of CP and Compilation Techniques for Instruction Sequence Test Generation. In: Perron, L., Trick, M.A. (eds) Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems. CPAIOR 2008. Lecture Notes in Computer Science, vol 5015. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-68155-7_29
Download citation
DOI: https://doi.org/10.1007/978-3-540-68155-7_29
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-68154-0
Online ISBN: 978-3-540-68155-7
eBook Packages: Computer ScienceComputer Science (R0)