PPT-Making proof-based verified computation almost practical

Michael Walfish The University of Texas at Austin The motivation is 3 rd party computing cloud volunteers etc We desire the following properties in the above exchange 1 Unconditional meaning no assumptions about the server. Class 18: . Proving Undecidability. Spring 2010. University of Virginia. David Evans. Menu. Revisiting the Halting Problem . Proof by Paradox. Universal Programming Languages. Reduction Proofs. Barbara . Srinath. . Setty. , Richard McPherson,. Andrew J. Blumberg, and Michael Walfish. The University of Texas at Austin. The motivation is 3. rd. party computing: cloud, volunteers, etc.. We desire the following properties in the above exchange:. (aka cs302: Discrete Mathematics II). Spring 2010. University of Virginia. David Evans. Computation is what Computers do, who needs theory?. flickr. : . gastev. [cc]. Charles Babbage’s . Difference Engine. CS3231, 2010-2011. First Semester. Rahul. Jain. TexPoint fonts used in EMF. . Read the TexPoint manual before you delete this box.: . A. A. A. A. A. A. A. A. Why do I care about Theory ?. It provides solid foundations.. Class 17: . Undecidable Languages. Spring 2010. University of Virginia. David Evans. Menu. Another . Self-Rejecting . argument: . diagonalization. A language that is . Turing-recognizable. but not . for Number Theory. Reduction to Halting Problem. Jeff Edmonds. York University. COSC 4111. Lecture. . 3. History . Gödel's Incompleteness. Halting ≤ Math Truth. 4111 Computability. Euclid said, . C. heckable. P. roofs. Guy Kindler. . The Hebrew University. Proofs – why?. Proofs . problems all around…. Math : Homework. Identity: . passwords suck. Credit cards: chip (zero knowledge). Smartness!!. Michael Walfish. The University of Texas at Austin. The motivation is 3. rd. party computing: cloud, volunteers, etc.. We desire the following properties in the above exchange:. 1. . Unconditional. , meaning no assumptions about the server. Towards Practical Verifiable Graph Processing. Yupeng. Zhang, . Charalampos. . Papamanthou. and . Jonathan . Katz. University of . Maryland. Agenda. Background of verifiable computation and motivation. (aka cs302: Discrete Mathematics II). Spring 2010. University of Virginia. David Evans. Computation is what Computers do, who needs theory?. flickr. : . gastev. [cc]. Charles Babbage’s . Difference Engine. Verification. Orna Grumberg. Lectures Material. winter . 2016-17. Lecture 3. Floyd Proof Rule for Partial Correctness. To prove . {q. ₁. }P{q. ₂. } . :. Choose. a set of . cut points . such that:. Srinath. . Setty. , Richard McPherson,. Andrew J. Blumberg, and Michael Walfish. The University of Texas at Austin. The motivation is 3. rd. party computing: cloud, volunteers, etc.. We desire the following properties in the above exchange:. KITCHEN READY. 1. Place bags and coats. in side room.. 2. Tie. your hair up and remove your jewellery. . 3. Put. . on an apron.. 4. Run some hot soapy. water in your sink for washing up.. 5. Wash hands.. Victor Vu, . Srinath. . Setty. ,. Andrew J. Blumberg, and Michael Walfish. The University of Texas at Austin. This should be:. 1. . Unconditional. , meaning no assumptions about the server. 2. . General-purpose.