PPT-Automatically Classifying Benign and Harmful Data Races Usi

S Narayanasamy Z Wang J Tigani A Edwards B Calder UCSD and Microsoft PLDI 2007 Data Races hard to debug Difficult to detect Even more difficult to reproduce Data Race Detectors help in detection. Benign prostatic hyperplasia is also called benign prostatic hypertrophy or benign prostatic obstruction The prostate goes through two main growth periods as a man ages The 64257rst occurs early in puberty when the prostate doubles in size The secon Boehm HP Laboratories Abstract Several prior research contributions 15 9 have explored the problem of distinguishing benign and harmful data races to make it easier for programmers to focus on a subset of the output from a data race detector Here we Races. Eraser: A Dynamic Data Race Detector . for Multithreaded . Programs. STEFAN . SAVAGE, MICHAEL . BURROWS, GREG NELSON, . PATRICK SOBALVARRO, THOMAS ANDERSON. ACM Transactions on Computer Systems, Vol. 15, No. 4, November 1997. Swarnendu Biswas. , UT Austin. Man Cao. , Ohio State University. Minjia Zhang. , Microsoft Research. Michael D. Bond. , Ohio State University. Benjamin P. Wood. , Wellesley College. CC 2017. A Java Program With a Data Race. Swarnendu Biswas. , UT Austin. Man Cao. , Ohio State University. Minjia Zhang. , Microsoft Research. Michael D. Bond. , Ohio State University. Benjamin P. Wood. , Wellesley College. CC 2017. A Java Program With a Data Race. Constructed Response. Types. Constructed Response is the written response to a question. . The answer is gathered from a text, prompt, diagram, map, etc. . There are three types:. Constructed Response . Yongjian Hu Iulian . Neamtiu. . Arash. . Alavi. Rise of Event-Driven Systems. Mobile apps. Web apps. 2. Event-based races are prevalent and may cause harmful . result: crash, incorrect results, etc.. John Erickson, . Madanlal. . Musuvathi. , Sebastian Burckhardt, Kirk . Olynyk. Microsoft . Research. Motivations. Need for race detection in Kernel modules. Also must detect race conditions between hardware and Kernel. Dan Grossman. University. . of Washington. Prepared for the . 2012 Microsoft Research Summer School on Concurrency. St. Petersburg, Russia. Goals. Broad overview of . data races. What they are [not]. Race Detection. John Erickson. Microsoft. Stephen Freund. Williams College. Madan Musuvathi. Microsoft Research. Introductions…. Tutorial Goals. What is (and is not) a data race. State of the art techniques in dynamic data race detection. Sixth Edition. Chapter 1. Introduction to Statistics. Copyright © 2015, 2012, 2009 Pearson Education, Inc. All Rights Reserved. Chapter Outline. 1.1. An Overview of Statistics. 1.2. Data Classification. Algal blooms can produce toxins that hurt people animals and the environment Learn what harmful algal blooms are and how to avoid themWhen in doubt stay outTweetsGeneral AwarenessTake care of yourself (MBI) and the recent attack on . MBI. About 20 years ago, . I . worked out the smallest important enhancement for athletes competing for a best time or distance.. Depending on the sport, it's . ~0.3% to . 1Lt Nathan A. Ruprecht, Mrs. Elisa N. Carrillo, & Capt Loren E. Myers. 746 TS/TGGA, Holloman AFB, NM, USA. elisa.carrillo@us.af.mil. Three UUTs were flown on the same platform as the Ultra High-Accuracy Reference System (UHARS) for 4, 9, and 5 sorties respectively in both clear air and GPS degraded environments. Minimum intervals of uncorrelated data from TSPI column(s) of interest are calculated and aligned to the reference system to then calculate the root mean squared error. For completeness, results are shown for using all samples collected as well as the uncorrelated error methodology data. Confidence intervals at 80%, 90%, and 95% are captured to show tightness of distribution. This is repeated for both benign and contested Positioning, Navigation, Timing (PNT) environments..