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												  E2 Studio Integrated Development Environment User's Manual: GettingUser’s Manual e2 studio Integrated Development Environment User’s Manual: Getting Started Guide Target Device RX, RL78, RH850 and RZ Family Rev.4.00 May 2016 www.renesas.com Notice 1. Descriptions of circuits, software and other related information in this document are provided only to illustrate the operation of semiconductor products and application examples. You are fully responsible for the incorporation of these circuits, software, and information in the design of your equipment. Renesas Electronics assumes no responsibility for any losses incurred by you or third parties arising from the use of these circuits, software, or information. 2. Renesas Electronics has used reasonable care in preparing the information included in this document, but Renesas Electronics does not warrant that such information is error free. Renesas Electronics assumes no liability whatsoever for any damages incurred by you resulting from errors in or omissions from the information included herein. 3. Renesas Electronics does not assume any liability for infringement of patents, copyrights, or other intellectual property rights of third parties by or arising from the use of Renesas Electronics products or technical information described in this document. No license, express, implied or otherwise, is granted hereby under any patents, copyrights or other intellectual property rights of Renesas Electronics or others. 4. You should not alter, modify, copy, or otherwise misappropriate any Renesas Electronics product, whether in whole or in part. Renesas Electronics assumes no responsibility for any losses incurred by you or third parties arising from such alteration, modification, copy or otherwise misappropriation of Renesas Electronics product. 5. Renesas Electronics products are classified according to the following two quality grades: “Standard” and “High Quality”.
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												  SAS® Debugging 101 Kirk Paul Lafler, Software Intelligence Corporation, Spring Valley, CaliforniaPharmaSUG 2017 - Paper TT03 SAS® Debugging 101 Kirk Paul Lafler, Software Intelligence Corporation, Spring Valley, California Abstract SAS® users are almost always surprised to discover their programs contain bugs. In fact, when asked users will emphatically stand by their programs and logic by saying they are bug free. But, the vast number of experiences along with the realities of writing code says otherwise. Bugs in software can appear anywhere; whether accidentally built into the software by developers, or introduced by programmers when writing code. No matter where the origins of bugs occur, the one thing that all SAS users know is that debugging SAS program errors and warnings can be a daunting, and humbling, task. This presentation explores the world of SAS bugs, providing essential information about the types of bugs, how bugs are created, the symptoms of bugs, and how to locate bugs. Attendees learn how to apply effective techniques to better understand, identify, and repair bugs and enable program code to work as intended. Introduction From the very beginning of computing history, program code, or the instructions used to tell a computer how and when to do something, has been plagued with errors, or bugs. Even if your own program code is determined to be error-free, there is a high probability that the operating system and/or software being used, such as the SAS software, have embedded program errors in them. As a result, program code should be written to assume the unexpected and, as much as possible, be able to handle unforeseen events using acceptable strategies and programming methodologies.
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												  Challenges in Debugging Dynamically Compiled Languages As Exemplified by C# Debugger for TizenSamsung R&D Institute Russia Center of System Software Challenges in debugging dynamically compiled languages as exemplified by C# debugger for Tizen Dmitri Botcharnikov 1 Agenda Dynamically compiled languages Tizen .NET Debugging Challenges Tizen .NET Debugger internals Future plans 2 Dynamically compiled languages Dynamically (Just-In-Time) compiled languages VM manages low-level details: memory allocation, exception handling But for debuggers… 3 Tizen .NET Visual Studio Tools for Tizen preview were released C# was added to Tizen Over 1,400,000 C# developers worldwide Tizen running on 50 millions Samsung devices (TV, wearables, mobile, IoT) http://developer.tizen.org 4 Technologies Tizen OS (emulator, platform-specific APIs) Xamarin.Forms .NET Core (CoreCLR, CoreFX, Roslyn) Visual Studio 2015 (Windows) 5 C# Compilation & Execution C# source MSIL Output CLR Roslyn JIT Language-specific compiler: C# => MSIL CLR JIT compiler: MSIL => native code 6 Debugging Challenges Source code to native code mapping ◦ C# compiler generates debugging information for source code to MSIL mapping Stepping in and over ◦ Stepping into not yet compiled code ◦ Managed exception handlers ◦ Lambdas, closures & iterators Local variables & arguments inspection ◦ C# compiler generates debugging information for MSIL variables 7 LLDB Subproject of LLVM (http://lldb.llvm.org) Native debugger builds on LLVM and Clang libraries Supports X86 and ARM architectures 8 SOS debugger plug-in Plug-in for LLDB (libsosplugin.so, libsos.so) Port of SOS.dll
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												  Agile Playbook V2.1—What’S New?AGILE P L AY B O OK TABLE OF CONTENTS INTRODUCTION ..........................................................................................................4 Who should use this playbook? ................................................................................6 How should you use this playbook? .........................................................................6 Agile Playbook v2.1—What’s new? ...........................................................................6 How and where can you contribute to this playbook?.............................................7 MEET YOUR GUIDES ...................................................................................................8 AN AGILE DELIVERY MODEL ....................................................................................10 GETTING STARTED.....................................................................................................12 THE PLAYS ...................................................................................................................14 Delivery ......................................................................................................................15 Play: Start with Scrum ...........................................................................................15 Play: Seeing success but need more fexibility? Move on to Scrumban ............17 Play: If you are ready to kick of the training wheels, try Kanban .......................18 Value ......................................................................................................................19
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												  Opportunities and Open Problems for Static and Dynamic Program Analysis Mark Harman∗, Peter O’Hearn∗ ∗Facebook London and University College London, UK1 From Start-ups to Scale-ups: Opportunities and Open Problems for Static and Dynamic Program Analysis Mark Harman∗, Peter O’Hearn∗ ∗Facebook London and University College London, UK Abstract—This paper1 describes some of the challenges and research questions that target the most productive intersection opportunities when deploying static and dynamic analysis at we have yet witnessed: that between exciting, intellectually scale, drawing on the authors’ experience with the Infer and challenging science, and real-world deployment impact. Sapienz Technologies at Facebook, each of which started life as a research-led start-up that was subsequently deployed at scale, Many industrialists have perhaps tended to regard it unlikely impacting billions of people worldwide. that much academic work will prove relevant to their most The paper identifies open problems that have yet to receive pressing industrial concerns. On the other hand, it is not significant attention from the scientific community, yet which uncommon for academic and scientific researchers to believe have potential for profound real world impact, formulating these that most of the problems faced by industrialists are either as research questions that, we believe, are ripe for exploration and that would make excellent topics for research projects. boring, tedious or scientifically uninteresting. This sociological phenomenon has led to a great deal of miscommunication between the academic and industrial sectors. I. INTRODUCTION We hope that we can make a small contribution by focusing on the intersection of challenging and interesting scientific How do we transition research on static and dynamic problems with pressing industrial deployment needs. Our aim analysis techniques from the testing and verification research is to move the debate beyond relatively unhelpful observations communities to industrial practice? Many have asked this we have typically encountered in, for example, conference question, and others related to it.
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												  Global SCRUM GATHERING® Berlin 2014Global SCRUM GATHERING Berlin 2014 SESSION DESCRIPTION TABLE OF CONTENTS SESSION TIMETABLE Monday, September 22nd – AM Sessions WELCOME & OPENING KEYNOTE - 9:00 – 10:30 Welcome Remarks ROOM Dave Sharrock & Marion Eickmann Opening Keynote Potsdam I/III Enabling the organization as a complex eco-system Dave Snowden AM BREAK – 10:30 – 11:00 90 MINUTE SESSIONS - 11:00 – 12:30 SESSION & SPEAKER TRACK LEVEL ROOM Managing Agility: Effectively Coaching Agile Teams Bring Down the Performing Tegel Andrea Tomasini, Bent Myllerup Wall Temenos – Build Trust in Yourself, Your Team, Successful Scrum Your Organization Practices: Berlin Norming Bellevue Christine Neidhardt, Olaf Lewitz Never Sleeps A Curious Mindset: basic coaching skills for Managing Agility: managers and other aliens Bring Down the Norming Charlottenburg II Deborah Hartmann Preuss, Steve Holyer Wall Building Creative Teams: Ideas, Motivation and Innovating beyond Retrospectives Core Scrum: The Performing Charlottenburg I Cara Turner Bohemian Bear Scrum Principles: Building Metaphors for Retrospectives Changing the Forming Tiergarted I/II Helen Meek, Mark Summers Status Quo Scrum Principles: My Agile Suitcase Changing the Forming Charlottenburg III Martin Heider Status Quo Game, Set, Match: Playing Games to accelerate Thinking Outside Agile Teams Forming Kopenick I/II the box Robert Misch Innovating beyond Let's Invent the Future of Agile! Core Scrum: The Performing Postdam III Nigel Baker Bohemian Bear Monday, September 22nd – PM Sessions LUNCH – 12:30 – 13:30 90 MINUTE SESSIONS - 13:30
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												  LLDB Tutorial: Adding Debugger Support for Your Target LLVM 2016 TutorialLLDB Tutorial: Adding debugger support for your target LLVM 2016 tutorial Deepak Panickal Andrzej Warzyński Codeplay Soware @codeplayso March 18, 2016 Outline • LLDB architecture crash course I Overview of LLDB I User scenarios such as breakpoints, stack-walking etc. I Debugging ps • Both generic and specialized architectures are covered I MSP430 lldb debugging, which we have implemented for this tutorial I github.com/codeplaysoftware/lldb-msp430 I ARM architecture is also referred to for the generic cases • Focusing on debugging ELF executables on Linux EuroLLVM 2016 Outline 2 / 54 Overview Part 1: The Basics Part 2: ELF And Architecture Support Part 3: Registers Part 4: Memory and Breakpoints Part 5: Other Key Features Part 6: Debugging Tips Part 7: MSP430 Quick Recap EuroLLVM 2016 Outline 3 / 54 Part 1 The Basics EuroLLVM 2016 Part 1: The Basics 4 / 54 LLDB - Architecture lldb user driver TCP Socket GDB RSP . lldb-server debug API Architecture of LLDB LLDB offers mulple opons: I user drivers: command line, lldb-mi, Python I debug API: ptrace/simulator/runme/actual drivers EuroLLVM 2016 Part 1: The Basics 5 / 54 lldb/lldb-server lldb • Runs on host • Interacts with the user • Understands symbols, DWARF informaon, data formats, etc. • Plugin architecture I ProcessGDBRemote, DynamicLoaderPOSIXDYLD, ABISysV_msp430 are some... lldb-server • Runs on both remote and host, communicates to lldb via RSP over whichever medium is available • Interacts with the hardware/simulator • Deals with binary data and memory addresses • Plugin architecture I ObjectFileELF, ProcessLinux, are some... EuroLLVM 2016 Part 1: The Basics 6 / 54 GDB Remote Serial Protocol • Simple, ASCII message based protocol • Designed for debugging remote targets • Originally developed for gdb<->gdbserver communicaon • Extended for LLDB, see lldb-gdb-remote.txt Packet structure: checksum $.
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												  Enabling Devops on Premise Or Cloud with JenkinsEnabling DevOps on Premise or Cloud with Jenkins Sam Rostam [email protected] Cloud & Enterprise Integration Consultant/Trainer Certified SOA & Cloud Architect Certified Big Data Professional MSc @SFU & PhD Studies – Partial @UBC Topics The Context - Digital Transformation An Agile IT Framework What DevOps bring to Teams? - Disrupting Software Development - Improved Quality, shorten cycles - highly responsive for the business needs What is CI /CD ? Simple Scenario with Jenkins Advanced Jenkins : Plug-ins , APIs & Pipelines Toolchain concept Q/A Digital Transformation – Modernization As stated by a As established enterprises in all industries begin to evolve themselves into the successful Digital Organizations of the future they need to begin with the realization that the road to becoming a Digital Business goes through their IT functions. However, many of these incumbents are saddled with IT that has organizational structures, management models, operational processes, workforces and systems that were built to solve “turn of the century” problems of the past. Many analysts and industry experts have recognized the need for a new model to manage IT in their Businesses and have proposed approaches to understand and manage a hybrid IT environment that includes slower legacy applications and infrastructure in combination with today’s rapidly evolving Digital-first, mobile- first and analytics-enabled applications. http://www.ntti3.com/wp-content/uploads/Agile-IT-v1.3.pdf Digital Transformation requires building an ecosystem • Digital transformation is a strategic approach to IT that treats IT infrastructure and data as a potential product for customers. • Digital transformation requires shifting perspectives and by looking at new ways to use data and data sources and looking at new ways to engage with customers.
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												  Integrating the GNU Debugger with Cycle Accurate Models a Case Study Using a Verilator Systemc Model of the Openrisc 1000Integrating the GNU Debugger with Cycle Accurate Models A Case Study using a Verilator SystemC Model of the OpenRISC 1000 Jeremy Bennett Embecosm Application Note 7. Issue 1 Published March 2009 Legal Notice This work is licensed under the Creative Commons Attribution 2.0 UK: England & Wales License. To view a copy of this license, visit http://creativecommons.org/licenses/by/2.0/uk/ or send a letter to Creative Commons, 171 Second Street, Suite 300, San Francisco, California, 94105, USA. This license means you are free: • to copy, distribute, display, and perform the work • to make derivative works under the following conditions: • Attribution. You must give the original author, Jeremy Bennett of Embecosm (www.embecosm.com), credit; • For any reuse or distribution, you must make clear to others the license terms of this work; • Any of these conditions can be waived if you get permission from the copyright holder, Embecosm; and • Nothing in this license impairs or restricts the author's moral rights. The software for the SystemC cycle accurate model written by Embecosm and used in this document is licensed under the GNU General Public License (GNU General Public License). For detailed licensing information see the file COPYING in the source code. Embecosm is the business name of Embecosm Limited, a private limited company registered in England and Wales. Registration number 6577021. ii Copyright © 2009 Embecosm Limited Table of Contents 1. Introduction ................................................................................................................ 1 1.1. Why Use Cycle Accurate Modeling .................................................................... 1 1.2. Target Audience ................................................................................................ 1 1.3. Open Source ..................................................................................................... 2 1.4. Further Sources of Information ......................................................................... 2 1.4.1.
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											Nateguyver Breakpoints LLDB Debug Toolchain More��������������������������� ��������������������������� �������� ����������������������������������������������������������������������������������� ���������������������������������������������������������������������������������������������� ������������������������������������������������������������������������������������������� ������������������������������� ��������������������������������������������������������������������������������������� ����������������������������������������������������������������������� �������������������������������������������������������������������������������������� �������������������������������������������� ◼ Breakpoints & watchpoints ◼ Xcode's graphical debugger ◼ LLDB �������������� “ ������������������������������������������������������������������������������������ ��������������������������� ”������������������ ���������������������������� ◼ Assertions, Logging, and Debug configuration ◼ Static analysis & runtime memory tools ◼ Unit testing in xcode ���������������� ◼ Emphasis on LLDB as our debugging foundation ◼ Tips and tricks to stramline your the debuggin experience ◼ Use LLDB as an extensible investigative tool “�������������”������������ “��’���������������������������������������������������’���������������������’�������������� ��������’����������������������������������� ”������������������ ��������������������������������������������������� ���������������������������������������������������������������������������������� ����������������������������������������������������������������������������
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												  Code Profilers Choosing a Tool for Analyzing PerformanceCode Profilers Choosing a Tool for Analyzing Performance Freescale Semiconductor Author, Rick Grehan Document Number: CODEPROFILERWP Rev. 0 11/2005 A profiler is a development tool that lets you look inside your application to see how each component—each routine, each block, sometimes each line and even each instruction—performs. You can find and correct your application’s bottlenecks. How do they work this magic? CONTENTS 1. Passive Profilers ...............................................3 6. Comparing Passive and Active 1.1 How It Is Done—PC Sampling ................4 Profilers .................................................................9 1.2 It Is Statistical ................................................4 6.1 Passive Profilers—Advantages ...............9 6.2 Passive Profilers—Disadvantages .........9 2. Active Profilers ...................................................4 6.3 Active Profilers—Advantages ................10 2.1 Methods of Instrumentation .....................5 6.4 Active Profilers—Disadvantages ..........11 3. Source Code Instrumentation ...................5 7. Conclusion .........................................................12 3.1 Instrumenting by Hand ..............................5 8. Addendum: Recursion and 4. Object Code Instrumentation ....................5 Hierarchies ........................................................12 4.1 Direct Modification .......................................6 4.2 Indirect Modification ...................................7 5. Object Instrumentation vs. Source Instrumentation
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												  Debugging and Profiling with Arm ToolsDebugging and Profiling with Arm Tools [email protected] • Ryan Hulguin © 2018 Arm Limited • 4/21/2018 Agenda • Introduction to Arm Tools • Remote Client Setup • Debugging with Arm DDT • Other Debugging Tools • Break • Examples with DDT • Lunch • Profiling with Arm MAP • Examples with MAP • Obtaining Support 2 © 2018 Arm Limited Introduction to Arm HPC Tools © 2018 Arm Limited Arm Forge An interoperable toolkit for debugging and profiling • The de-facto standard for HPC development • Available on the vast majority of the Top500 machines in the world • Fully supported by Arm on x86, IBM Power, Nvidia GPUs and Arm v8-A. Commercially supported by Arm • State-of-the art debugging and profiling capabilities • Powerful and in-depth error detection mechanisms (including memory debugging) • Sampling-based profiler to identify and understand bottlenecks Fully Scalable • Available at any scale (from serial to petaflopic applications) Easy to use by everyone • Unique capabilities to simplify remote interactive sessions • Innovative approach to present quintessential information to users Very user-friendly 4 © 2018 Arm Limited Arm Performance Reports Characterize and understand the performance of HPC application runs Gathers a rich set of data • Analyses metrics around CPU, memory, IO, hardware counters, etc. • Possibility for users to add their own metrics Commercially supported by Arm • Build a culture of application performance & efficiency awareness Accurate and astute • Analyses data and reports the information that matters to users insight • Provides simple guidance to help improve workloads’ efficiency • Adds value to typical users’ workflows • Define application behaviour and performance expectations Relevant advice • Integrate outputs to various systems for validation (e.g.