Design Validation of RTL Circuits using Binary Particle Swarm Optimization and Symbolic Execution

dc.contributor.authorPuri, Prateeken
dc.contributor.committeechairHsiao, Michael S.en
dc.contributor.committeememberWang, Chaoen
dc.contributor.committeememberSchaumont, Patrick R.en
dc.contributor.departmentElectrical and Computer Engineeringen
dc.date.accessioned2015-08-06T08:00:22Zen
dc.date.available2015-08-06T08:00:22Zen
dc.date.issued2015-08-05en
dc.description.abstractOver the last two decades, chip design has been conducted at the register transfer (RT) Level using Hardware Descriptive Languages (HDL), such as VHDL and Verilog. The modeling at the behavioral level not only allows for better representation and understanding of the design, but also allows for encapsulation of the sub-modules as well, thus increasing productivity. Despite these benefits, validating a RTL design is not necessarily easier. Today, design validation is considered one of the most time and resource consuming aspects of hardware design. The high costs associated with late detection of bugs can be enormous. Together with stringent time to market factors, the need to guarantee the correct functionality of the design is more critical than ever. The work done in this thesis tackles the problem of RTL design validation and presents new frameworks for functional test generation. We use branch coverage as our metric to evaluate the quality of the generated test stimuli. The initial effort for test generation utilized simulation based techniques because of their scalability with design size and ease of use. However, simulation based methods work on input spaces rather than the DUT's state space and often fail to traverse very narrow search paths in large input spaces. To encounter this problem and enhance the ability of test generation framework, in the following work in this thesis, certain design semantics are statically extracted and recurrence relationships between different variables are mined. Information such as relations among variables and loops can be extremely valuable from test generation point of view. The simulation based method is hybridized with Z3 based symbolic backward execution engine with feedback among different stages. The hybridized method performs loop abstraction and is able to traverse narrow design paths without performing costly circuit analysis or explicit loop unrolling. Also structural and functional unreachable branches are identified during the process of test generation. Experimental results show that the proposed techniques are able to achieve high branch coverage on several ITC'99 benchmark circuits and their modified variants, with significant speed up and reduction in the sequence length.en
dc.description.degreeMaster of Scienceen
dc.format.mediumETDen
dc.identifier.othervt_gsexam:6046en
dc.identifier.urihttp://hdl.handle.net/10919/55815en
dc.publisherVirginia Techen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectDesign Verificationen
dc.subjectParticle Swarm Optimizationen
dc.subjectStatic Analysisen
dc.subjectSymbolic Backward Executionen
dc.subjectSatisfiability Modulo Theoryen
dc.subjectPattern Search Methodsen
dc.titleDesign Validation of RTL Circuits using Binary Particle Swarm Optimization and Symbolic Executionen
dc.typeThesisen
thesis.degree.disciplineComputer Engineeringen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.levelmastersen
thesis.degree.nameMaster of Scienceen

Files

Original bundle
Now showing 1 - 2 of 2
Loading...
Thumbnail Image
Name:
Puri_P_T_2015.pdf
Size:
1.31 MB
Format:
Adobe Portable Document Format
Loading...
Thumbnail Image
Name:
Puri_P_T_2015_support_1.pdf
Size:
123.76 KB
Format:
Adobe Portable Document Format
Description:
Supporting documents

Collections