'Execution trace' presentation slideshows

Defining and Enforcing Hardware Security Requirements 14 Oct 2011

Defining and Enforcing Hardware Security Requirements 14 Oct 2011. CDR Mike Bilzor mbilzor@nps.edu. =. ?. Challenge. Can we define, and then enforce , security requirements in hardware designs?. Agenda. Research Goals Malicious Inclusion Threat to Processors

640 views • 52 slides

Verifying remote executions: from wild implausibility to near practicality

Verifying remote executions: from wild implausibility to near practicality. Michael Walfish. NYU and UT Austin. Acknowledgment

584 views • 50 slides

Which Configuration Option Should I Change?

606 views • 46 slides

A hybrid architecture for interactive verifiable computation

424 views • 30 slides

Extracting Sequence Diagram from Execution Trace of Java Program

Extracting Sequence Diagram from Execution Trace of Java Program. Koji Taniguchi *, Takashi Ishio*,Toshihiro Kamiya**, Shinji Kusumoto*, Katsuro Inoue* *Osaka University, Japan **Japan Science and Technology Agency, Japan. Documents of Evolving Software.

392 views • 27 slides

Extracting Sequence Diagram from Execution Trace of Java Program

Extracting Sequence Diagram from Execution Trace of Java Program. Koji Taniguchi *, Takashi Ishio*,Toshihiro Kamiya**, Shinji Kusumoto*, Katsuro Inoue* *Osaka University, Japan **Japan Science and Technology Agency, Japan. Documents of Evolving Software.

275 views • 27 slides

Bug Localization with Association Rule Mining

Bug Localization with Association Rule Mining. Wujie Zheng wjzheng@cse.cuhk.edu.hk. Outline. Introduction Background of Bug Localization From Predicate to Predicate Sets Mining Suspicious Predicate Sets as Strong Association Rules Modeling The AllRules Algorithm Redundant Rule Pruning

461 views • 25 slides

CUDA programming (continue)

CUDA programming (continue) . Acknowledgement: the lecture materials are based on the materials in NVIDIA teaching center CUDA course materials, including materials from Wisconsin ( Negrut ), North Carolina Charlotte ( Wikinson /Li) and NCSA ( Kindratenko ). Topics. Implementing MM on GPU

349 views • 23 slides

SKELETON BASED PERFORMANCE PREDICTION ON SHARED NETWORKS

SKELETON BASED PERFORMANCE PREDICTION ON SHARED NETWORKS. Sukhdeep Sodhi Microsoft Corp Jaspal Subhlok University of Houston. Resource Selection for Network/Grid Applications. Model. Data. GUI. Sim 1. Pre. Stream. Application. ?. where is the best performance . Network.

271 views • 19 slides

Feature-level Phase Detection for Execution Trace Using Object Cache

Feature-level Phase Detection for Execution Trace Using Object Cache. Yui Watanabe , Takashi Ishio, Katsuro Inoue Osaka University, Japan. Contents. Automatic phase detection for execution traces of object-oriented programs Background Visualizing program behavior Algorithm

365 views • 19 slides

Accurate Measurement-Based WCET Analysis in the Absence of Source and Binary Code

Accurate Measurement-Based WCET Analysis in the Absence of Source and Binary Code. presented by Thomas Leveque on behalf of Amine Marref and Adam Betts. Introduction. Real-time systems (RTSs) must be both functionally and temporally correct . The timeliness of a RTS must be proved .

280 views • 18 slides

Explanation of Accomplishment

Explanation of Accomplishment. POC: Klaus Havelund (ASE group, Code IC, havelund@email.arc.nasa.gov)

137 views • 2 slides

Scalability of Coevolutionary Automated Software Correction

Scalability of Coevolutionary Automated Software Correction. ISC PI : Dr. Daniel Tauritz, Computer Science Co-PIs : Dr. Bruce McMillin, Computer Science & Dr. Thomas Weigert, Computer Science. ISC Graduate Student : Josh Wilkerson, Computer Science.

88 views • 1 slides