PPT-Automated and Modular Refinement Reasoning

Author : celsa-spraggs | Published Date : 2016-06-30

for Concurrent Programs Shaz Qadeer The refinement approach P is safe P P 0 refines P 1 P k1 refines P k is safe Abstraction Refinement Layered proof could be

Presentation Embed Code

Download Presentation

Download Presentation The PPT/PDF document "Automated and Modular Refinement Reasoni..." is the property of its rightful owner. Permission is granted to download and print the materials on this website for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.

Automated and Modular Refinement Reasoning: Transcript

for Concurrent Programs Shaz Qadeer The refinement approach P is safe P P 0 refines P 1 P k1 refines P k is safe Abstraction Refinement Layered proof could be simpler both for human and computer. 6405 provides different installation options on adjustable feet or ss castors when in 465636 The extensive range of models allows you to best utilise space by either placing units in a single line or back to back can also be combined with Domina 9 will be inserted by the editor Proof Pearl A Formal Proof of Dally and Seitz Necessary and Su64259cient Condition for DeadlockFree Routing in Interconn ection Networks Freek Verbeek Julien Schmaltz Received date Accepted date Abstract Avoiding dead Yu David Liu. State University of New York (SUNY). at Binghamton. FOAL 2015. Modular Performance Reasoning of. Data-Intensive Programs. Yu David Liu. State University of New York (SUNY). at Binghamton. Maximize agreement with diffraction data. Minimize R-factor. Maximize ideality of stereochemistry. Minimize deviation from ideal bond lengths and angles. S. |F. obs. -F. calc. |. S. |F. obs. |. hkl. hkl. Michael Butler. University of Southampton. users.ecs.soton.ac.uk/mjb. Motivation. In a refinement based approach it is beneficial to model systems . abstractly . with . little architectural structure . subtyping. 14. th. international conference on Modularity. 1. Mehdi Bagherzadeh. Robert . Dyer. Rex D. Fernando. Jose . Sanchez. Hridesh Rajan. Event types: . separation of crosscutting concerns. a subject announces an event (using . Reasoning. in. Aspect-. oriented. . Languages. Tim . Molderez. Ansymo. Antwerp Systems and Software Modelling. Aspect-oriented programming (AOP). Typically. extension of object-. oriented. . language. Inference. Hiroshi Unno (University of Tsukuba). Joint work with: Naoki Kobayashi, . Tachio. Terauchi, . Ryosuke. Sato, Takuya . Kuwahara. , . Kodai. Hashimoto, . Sho. Torii. 2015/7/4. HOPA 2015. Yu David Liu. State University of New York (SUNY). at Binghamton. FOAL 2015. Modular Performance Reasoning of. Data-Intensive Programs. Yu David Liu. State University of New York (SUNY). at Binghamton. Modular Refinement Arvind Computer Science & Artificial Intelligence Lab Massachusetts Institute of Technology January 20, 2011 L8- 1 http://csg.csail.mit.edu/SNU Successive refinement & Modular Structure Fig S2yLi EuA-DRietveld refinement of the SXRD patterns of Na099-xxAl1-xSi1xO4yLi 001EuNASO yLi Eu 0 y 015 samplesTable S1 Main parameters of processing and refinement of the NxASO 0 x 025 and NxASO The Desired Brand Effect Stand Out in a Saturated Market with a Timeless Brand The Desired Brand Effect Stand Out in a Saturated Market with a Timeless Brand efinement . R. easoning . for Concurrent . P. rograms. Collaborators:. Chris Hawblitzel (Microsoft). Erez Petrank (. Technion. ). Serdar Tasiran (. Koc. University). Shaz Qadeer. Verified . Garbage Collector.

Download Document

Here is the link to download the presentation.
"Automated and Modular Refinement Reasoning"The content belongs to its owner. You may download and print it for personal use, without modification, and keep all copyright notices. By downloading, you agree to these terms.