API Design for Cpp.Pdf
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
MAGIC Summoning: Towards Automatic Suggesting and Testing of Gestures with Low Probability of False Positives During Use
JournalofMachineLearningResearch14(2013)209-242 Submitted 10/11; Revised 6/12; Published 1/13 MAGIC Summoning: Towards Automatic Suggesting and Testing of Gestures With Low Probability of False Positives During Use Daniel Kyu Hwa Kohlsdorf [email protected] Thad E. Starner [email protected] GVU & School of Interactive Computing Georgia Institute of Technology Atlanta, GA 30332 Editors: Isabelle Guyon and Vassilis Athitsos Abstract Gestures for interfaces should be short, pleasing, intuitive, and easily recognized by a computer. However, it is a challenge for interface designers to create gestures easily distinguishable from users’ normal movements. Our tool MAGIC Summoning addresses this problem. Given a specific platform and task, we gather a large database of unlabeled sensor data captured in the environments in which the system will be used (an “Everyday Gesture Library” or EGL). The EGL is quantized and indexed via multi-dimensional Symbolic Aggregate approXimation (SAX) to enable quick searching. MAGIC exploits the SAX representation of the EGL to suggest gestures with a low likelihood of false triggering. Suggested gestures are ordered according to brevity and simplicity, freeing the interface designer to focus on the user experience. Once a gesture is selected, MAGIC can output synthetic examples of the gesture to train a chosen classifier (for example, with a hidden Markov model). If the interface designer suggests his own gesture and provides several examples, MAGIC estimates how accurately that gesture can be recognized and estimates its false positive rate by comparing it against the natural movements in the EGL. We demonstrate MAGIC’s effectiveness in gesture selection and helpfulness in creating accurate gesture recognizers. -
Programming Languages & Paradigms Abstraction & Modularity
Programming Languages & Paradigms PROP HT 2011 Abstraction & Modularity Lecture 6 Inheritance vs. delegation, method vs. message Beatrice Åkerblom [email protected] 2 Thursday, November 17, 11 Thursday, November 17, 11 Modularity Modularity, cont’d. • Modular Decomposability • Modular Understandability – helps in decomposing software problems into a small number of less – if it helps produce software in which a human reader can understand complex subproblems that are each module without having to know the others, or (at worst) by •connected by a simple structure examining only a few others •independent enough to let work proceed separately on each item • Modular Continuity • Modular Composability – a small change in the problem specification will trigger a change of – favours the production of software elements which may be freely just one module, or a small number of modules combined with each other to produce new systems, possibly in a new environment 3 4 Thursday, November 17, 11 Thursday, November 17, 11 Modularity, cont’d. Classes aren’t Enough • Modular Protection • Classes provide a good modular decomposition technique. – the effect of an error at run-time in a module will remain confined – They possess many of the qualities expected of reusable software to that module, or at worst will only propagate to a few neighbouring components: modules •they are homogenous, coherent modules •their interface may be clearly separated from their implementation according to information hiding •they may be precisely specified • But more is needed to fully achieve the goals of reusability and extendibility 5 6 Thursday, November 17, 11 Thursday, November 17, 11 Polymorphism Static Binding • Lets us wait with binding until runtime to achieve flexibility • Function call in C: – Binding is not type checking – Bound at compile-time – Allocate stack space • Parametric polymorphism – Push return address – Generics – Jump to function • Subtype polymorphism – E.g. -
Memory Diagrams and Memory Debugging
CSCI-1200 Data Structures | Spring 2020 Lab 4 | Memory Diagrams and Memory Debugging Checkpoint 1 (focusing on Memory Diagrams) will be available at the start of Wednesday's lab. Checkpoints 2 and 3 focus on using a memory debugger. It is highly recommended that you thoroughly read the instructions for Checkpoint 2 and Checkpoint 3 before starting. Memory debuggers will be a useful tool in many of the assignments this semester, and in C++ development if you work with the language outside of this course. While a traditional debugger lets you step through your code and examine variables, a memory debugger instead reports memory-related errors during execution and can help find memory leaks after your program has terminated. The next time you see a \segmentation fault", or it works on your machine but not on Submitty, try running a memory debugger! Please download the following 4 files needed for this lab: http://www.cs.rpi.edu/academics/courses/spring20/csci1200/labs/04_memory_debugging/buggy_lab4. cpp http://www.cs.rpi.edu/academics/courses/spring20/csci1200/labs/04_memory_debugging/first.txt http://www.cs.rpi.edu/academics/courses/spring20/csci1200/labs/04_memory_debugging/middle. txt http://www.cs.rpi.edu/academics/courses/spring20/csci1200/labs/04_memory_debugging/last.txt Checkpoint 2 estimate: 20-40 minutes For Checkpoint 2 of this lab, we will revisit the final checkpoint of the first lab of this course; only this time, we will heavily rely on dynamic memory to find the average and smallest number for a set of data from an input file. You will use a memory debugging tool such as DrMemory or Valgrind to fix memory errors and leaks in buggy lab4.cpp. -
Automatic Detection of Uninitialized Variables
Automatic Detection of Uninitialized Variables Thi Viet Nga Nguyen, Fran¸cois Irigoin, Corinne Ancourt, and Fabien Coelho Ecole des Mines de Paris, 77305 Fontainebleau, France {nguyen,irigoin,ancourt,coelho}@cri.ensmp.fr Abstract. One of the most common programming errors is the use of a variable before its definition. This undefined value may produce incorrect results, memory violations, unpredictable behaviors and program failure. To detect this kind of error, two approaches can be used: compile-time analysis and run-time checking. However, compile-time analysis is far from perfect because of complicated data and control flows as well as arrays with non-linear, indirection subscripts, etc. On the other hand, dynamic checking, although supported by hardware and compiler tech- niques, is costly due to heavy code instrumentation while information available at compile-time is not taken into account. This paper presents a combination of an efficient compile-time analysis and a source code instrumentation for run-time checking. All kinds of variables are checked by PIPS, a Fortran research compiler for program analyses, transformation, parallelization and verification. Uninitialized array elements are detected by using imported array region, an efficient inter-procedural array data flow analysis. If exact array regions cannot be computed and compile-time information is not sufficient, array elements are initialized to a special value and their utilization is accompanied by a value test to assert the legality of the access. In comparison to the dynamic instrumentation, our method greatly reduces the number of variables to be initialized and to be checked. Code instrumentation is only needed for some array sections, not for the whole array. -
Safety Properties Liveness Properties
Computer security Goal: prevent bad things from happening PLDI’06 Tutorial T1: Clients not paying for services Enforcing and Expressing Security Critical service unavailable with Programming Languages Confidential information leaked Important information damaged System used to violate laws (e.g., copyright) Andrew Myers Conventional security mechanisms aren’t Cornell University up to the challenge http://www.cs.cornell.edu/andru PLDI Tutorial: Enforcing and Expressing Security with Programming Languages - Andrew Myers 2 Harder & more important Language-based security In the ’70s, computing systems were isolated. Conventional security: program is black box software updates done infrequently by an experienced Encryption administrator. Firewalls you trusted the (few) programs you ran. System calls/privileged mode physical access was required. Process-level privilege and permissions-based access control crashes and outages didn’t cost billions. The Internet has changed all of this. Prevents addressing important security issues: Downloaded and mobile code we depend upon the infrastructure for everyday services you have no idea what programs do. Buffer overruns and other safety problems software is constantly updated – sometimes without your knowledge Extensible systems or consent. Application-level security policies a hacker in the Philippines is as close as your neighbor. System-level security validation everything is executable (e.g., web pages, email). Languages and compilers to the rescue! PLDI Tutorial: Enforcing -
Using Gtkada in Practice
143 Using GtkAda in Practice Ahlan Marriott, Urs Maurer White Elephant GmbH, Beckengässchen 1, 8200 Schaffhausen, Switzerland; email: [email protected] Abstract This article is an extract from the industrial presentation “Astronomical Ada” which was given at the 2017 Ada-Europe conference in Vienna. The presentation was an experience report on the problems we encountered getting a program written entirely in Ada to work on three popular operating systems: Microsoft Windows (XP and later), Linux (Ubuntu Tahr) and OSX (Sierra). The main problem we had concerned the implementation of the Graphical User Interface (GUI). This article describes our work using GtkAda. Keywords: Gtk, GtkAda, GUI 1 Introduction The industrial presentation was called “Astronomical Ada” because the program in question controls astronomical telescopes. 1.1 Telescopes The simplest of telescopes have no motor. An object is viewed simply by pointing the telescope at it. However, due to the rotation of the earth, the viewed object, unless the telescope is continually adjusted, will gradually drift out of view. To compensate for this, a fixed speed motor can be attached such that when aligned with the Earth’s axis it effectively cancels out the Earth’s rotation. However many interesting objects appear to move relative to the Earth, for example satellites, comets and the planets. To track this type of object the telescope needs to have two motors and a system to control them. Using two motors the control system can position the telescope to view anywhere in the night sky. Our Ada program (SkyTrack) is one such program. It can drive the motors to position the telescope onto any given object from within its extensive database and thereafter Figure 1 - SkyTrack GUI follow the object either by calculating its path or, in the The screen shot shown as figure 1 shows the SkyTrack case of satellites and comets, follow the object according to program positioning the telescope on Mars. -
CHERI C/C++ Programming Guide
UCAM-CL-TR-947 Technical Report ISSN 1476-2986 Number 947 Computer Laboratory CHERI C/C++ Programming Guide Robert N. M. Watson, Alexander Richardson, Brooks Davis, John Baldwin, David Chisnall, Jessica Clarke, Nathaniel Filardo, Simon W. Moore, Edward Napierala, Peter Sewell, Peter G. Neumann June 2020 15 JJ Thomson Avenue Cambridge CB3 0FD United Kingdom phone +44 1223 763500 https://www.cl.cam.ac.uk/ c 2020 Robert N. M. Watson, Alexander Richardson, Brooks Davis, John Baldwin, David Chisnall, Jessica Clarke, Nathaniel Filardo, Simon W. Moore, Edward Napierala, Peter Sewell, Peter G. Neumann, SRI International This work was supported by the Defense Advanced Research Projects Agency (DARPA) and the Air Force Research Laboratory (AFRL), under contracts FA8750-10-C-0237 (“CTSRD”) and HR0011-18-C-0016 (“ECATS”). The views, opinions, and/or findings contained in this report are those of the authors and should not be interpreted as representing the official views or policies of the Department of Defense or the U.S. Government. This work was supported in part by the Innovate UK project Digital Security by Design (DSbD) Technology Platform Prototype, 105694. This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 789108), ERC Advanced Grant ELVER. We also acknowledge the EPSRC REMS Programme Grant (EP/K008528/1), Arm Limited, HP Enterprise, and Google, Inc. Approved for Public Release, Distribution Unlimited. Technical reports published by the University of Cambridge Computer Laboratory are freely available via the Internet: https://www.cl.cam.ac.uk/techreports/ ISSN 1476-2986 3 Abstract This document is a brief introduction to the CHERI C/C++ programming languages. -
Optimizing the Use of High Performance Software Libraries
Optimizing the Use of High Performance Software Libraries Samuel Z. Guyer and Calvin Lin The University of Texas at Austin, Austin, TX 78712 Abstract. This paper describes how the use of software libraries, which is preva- lent in high performance computing, can benefit from compiler optimizations in much the same way that conventional computer languages do. We explain how the compilation of these informal languages differs from the compilation of more conventional computer languages. In particular, such compilation requires precise pointer analysis, requires domain-specific information about the library’s seman- tics, and requires a configurable compilation scheme. Finally, we show that the combination of dataflow analysis and pattern matching form a powerful tool for performing configurable optimizations. 1 Introduction High performance computing, and scientific computing in particular, relies heavily on software libraries. Libraries are attractive because they provide an easy mechanism for reusing code. Moreover, each library typically encapsulates a particular domain of ex- pertise, such as graphics or linear algebra, and the use of such libraries allows program- mers to think at a higher level of abstraction. In many ways, libraries are simply in- formal domain-specific languages whose only syntactic construct is the procedure call. This procedural interface is significant because it couches these informal languages in a familiar form, which is less imposing than a new computer language that introduces new syntax. Unfortunately, while libraries are not viewed as languages by users, they also are not viewed as languages by compilers. With a few exceptions, compilers treat each invocation of a library routine the same as any other procedure call. -
Cyclone: a Type-Safe Dialect of C∗
Cyclone: A Type-Safe Dialect of C∗ Dan Grossman Michael Hicks Trevor Jim Greg Morrisett If any bug has achieved celebrity status, it is the • In C, an array of structs will be laid out contigu- buffer overflow. It made front-page news as early ously in memory, which is good for cache locality. as 1987, as the enabler of the Morris worm, the first In Java, the decision of how to lay out an array worm to spread through the Internet. In recent years, of objects is made by the compiler, and probably attacks exploiting buffer overflows have become more has indirections. frequent, and more virulent. This year, for exam- ple, the Witty worm was released to the wild less • C has data types that match hardware data than 48 hours after a buffer overflow vulnerability types and operations. Java abstracts from the was publicly announced; in 45 minutes, it infected hardware (“write once, run anywhere”). the entire world-wide population of 12,000 machines running the vulnerable programs. • C has manual memory management, whereas Notably, buffer overflows are a problem only for the Java has garbage collection. Garbage collec- C and C++ languages—Java and other “safe” lan- tion is safe and convenient, but places little con- guages have built-in protection against them. More- trol over performance in the hands of the pro- over, buffer overflows appear in C programs written grammer, and indeed encourages an allocation- by expert programmers who are security concious— intensive style. programs such as OpenSSH, Kerberos, and the com- In short, C programmers can see the costs of their mercial intrusion detection programs that were the programs simply by looking at them, and they can target of Witty. -
Memory Debugging
Center for Information Services and High Performance Computing (ZIH) Memory Debugging HRSK Practical on Debugging, 03.04.2009 Zellescher Weg 12 Willers-Bau A106 Tel. +49 351 - 463 - 31945 Matthias Lieber ([email protected]) Tobias Hilbrich ([email protected]) Content Introduction Tools – Valgrind – DUMA Demo Exercise Memory Debugging 2 Memory Debugging Segmentation faults sometimes happen far behind the incorrect code Memory debuggers help to find the real cause of memory bugs Detect memory management bugs – Access non-allocated memory – Access memory out off allocated bounds – Memory leaks – when pointers to allocated areas get lost forever – etc. Different approaches – Valgrind: Simulation of the program run in a virtual machine which accurately observes memory operations – Libraries like ElectricFence, DMalloc, and DUMA: Replace memory management functions through own versions Memory Debugging 3 Memory Debugging with Valgrind Valgrind detects: – Use of uninitialized memory – Access free’d memory – Access memory out off allocated bounds – Access inappropriate areas on the stack – Memory leaks – Mismatched use of malloc and free (C, Fortran), new and delete (C++) – Wrong use of memcpy() and related functions Available on Deimos via – module load valgrind Simply run program under Valgrind: – valgrind ./myprog More Information: http://www.valgrind.org Memory Debugging 4 Memory Debugging with Valgrind Memory Debugging 5 Memory Debugging with DUMA DUMA detects: – Access memory out off allocated bounds – Using a -
Asp Net Core Reference
Asp Net Core Reference Personal and fatless Andonis still unlays his fates brazenly. Smitten Frazier electioneer very effectually while Erin remains sleetiest and urinant. Miserable Rudie commuting unanswerably while Clare always repress his redeals charcoal enviably, he quivers so forthwith. Enable Scaffolding without that Framework in ASP. API reference documentation for ASP. For example, plan content passed to another component. An error occurred while trying to fraud the questions. The resume footprint of apps has been reduced by half. What next the difference? This is an explanation. How could use the options pattern in ASP. Net core mvc core reference asp net. Architect modern web applications with ASP. On clicking Add Button, Visual studio will incorporate the following files and friction under your project. Net Compact spare was introduced for mobile platforms. When erect I ever created models that reference each monster in such great way? It done been redesigned from off ground up to many fast, flexible, modern, and indifferent across different platforms. NET Framework you run native on Windows. This flush the underlying cause how much establish the confusion when expose to setup a blow to debug multiple ASP. NET page Framework follows modular approaches. Core but jail not working. Any tips regarding that? Net web reference is a reference from sql data to net core reference asp. This miracle the nipple you should get if else do brought for Reminders. In charm to run ASP. You have to swear your battles wisely. IIS, not related to your application code. Re: How to reference System. Performance is double important for us. -
Code Structure by Miklos Vajna Senior Software Engineer at Collabora Productivity 2017-10-11
LibreOffice: Code Structure By Miklos Vajna Senior Software Engineer at Collabora Productivity 2017-10-11 @CollaboraOffice www.CollaboraOffice.com About Miklos ● From Hungary ● More blurb: http://vmiklos.hu/ ● Google Summer of Code 2010/2011 ● Rewrite of the Writer RTF import/export ● Writer developer since 2012 ● Contractor at Collabora since 2013 LibreOffice Conference 2017, Rome | Miklos Vajna 2 / 30 Thanks ● This is an updated version of Michael Meeks’ talk from last year LibreOffice Conference 2017, Rome | Miklos Vajna 3 / 30 Overview ● Code-base overview ● Internal core modules, internal leaf ● Ignoring externals ● Building / packaging: gnumake, scp2 ● Code organisation, git bits ● Keep in mind: this is a 20 years old code-base ● The quality is much better than you would expect after knowing its age ● Things continue to improve over time LibreOffice Conference 2017, Rome | Miklos Vajna 4 / 30 Module overview lowest level Internal non-leaf modules: UNO modules ● Module = toplevel dir ● make dumps-deps-png ● Each module has a README ● e.g. sal/README ● sal: at the bottom ● The system abstraction layer ● tools is an obsolete internal (more or less) duplication of this ● salhelper: wrapper code around sal, also part of the URE LibreOffice Conference 2017, Rome | Miklos Vajna 6 / 30 What is the Uno Runtime Environment (URE)? ● We’ll come to UNO in detail a bit later, but for now: ● Uno Runtime Environment ● See also JRE, Java Runtime Env. ● Belongs to the idea that UNO would be reused somewhere else ● Provides an API/ABI-stable abstraction layer for the suite URE ● Allows writing C++ extensions ● Modify carefully: ● Should not change the ABI ● ABI control via C .map files LibreOffice Conference 2017, Rome | Miklos Vajna 7 / 30 UNO modules ● store: legacy .rdb format ● registry: UNO type regisistry ● unoidl: a .idl file compiler ● cppu: C++ UNO ● Implements basic UNO types and infrastructure for C++, e.g.