Debugging and Profiling with Arm Tools
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Navigating the Next Evolution of Application Development Using Distributed Tracing
Navigating the Next Evolution of Application Development Using Distributed Tracing Navigating the Next Evolution of Application Development 1 Table of Contents Introduction ...........................................................................................................................................................................................3 How has software been built? Waterfall vs. DevOps ................................................................................. ............................. 4 The next evolution: Microservices ................................................................................................................................................5 What will you need to do differently to capitalizeon modern application development? ..........................................6 Get started with Epsagon on AWS ...............................................................................................................................................8 Case Study: Bastian Solutions .......................................................................................................................................................9 Learn More ..........................................................................................................................................................................................10 Navigating the Next Evolution of Application Development 2 Introduction Building and maintaining a competitive edge often requires you to evolve with your customers’ -
Forge and Performance Reports Modules $ Module Load Intel Intelmpi $ Module Use /P/Scratch/Share/VI-HPS/JURECA/Mf/ $ Module Load Arm-Forge Arm-Reports
Acting on Insight Tips for developing and optimizing scientific applications [email protected] 28/06/2019 Agenda • Introduction • Maximize application efficiency • Analyze code performance • Profile multi-threaded codes • Optimize Python-based applications • Visualize code regions with Caliper 2 © 2019 Arm Limited Arm Technology Already Connects the World Arm is ubiquitous Partnership is key Choice is good 21 billion chips sold by We design IP, we do not One size is not always the best fit partners in 2017 manufacture chips for all #1 in Infrastructure today with Partners build products for HPC is a great fit for 28% market shares their target markets co-design and collaboration 3 © 2019 Arm Limited Arm’s solution for HPC application development and porting Combines cross-platform tools with Arm only tools for a comprehensive solution Cross-platform Tools Arm Architecture Tools FORGE C/C++ & FORTRAN DDT MAP COMPILER PERFORMANCE PERFORMANCE REPORTS LIBRARIES 4 © 2019 Arm Limited The billion dollar question in “weather and forecasting” Is it going to rain tomorrow? 1. Choose domain 2. Gather Data 3. Create Mesh 4. Match Data to Mesh 5. Simulate 6. Visualize 5 © 2019 Arm Limited Weather forecasting workflow Deploy Production Staging environment Builds Scalability Performance Develop Fix Regressions CI Agents Optimize Commit Continuous Version Start CI job control integration Pull system framework • 24 hour timeframe 6 © 2019 Arm Limited • 2 to 3 test runs for 1 production run Application efficiency Scientist Developer System admin Decision maker • Efficient use of allocation • Characterize application • Maximize resource usage • High-level view of system time behaviour • Diagnose performance workload • Higher result throughput • Gets hints on next issues • Reporting figures and optimization steps analysis to help decision making 7 © 2019 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. -
Traceability Establishment and Visualization of Software Artefacts in Devops Practice: a Survey
(IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 10, No. 7, 2019 Traceability Establishment and Visualization of Software Artefacts in DevOps Practice: A Survey D. A. Meedeniya1, I. D. Rubasinghe2, I. Perera3 Dept. of Computer Science and Engineering, University of Moratuwa, Sri Lanka Abstract—DevOps based software process has become the artefacts in the SDLC [2][3]. There are different forms of popular with the vision of an effective collaboration between the relationships between the homogeneous and heterogeneous development and operations teams that continuously integrates software artefacts. Some artefacts may be highly coupled, and the frequent changes. Traceability manages the artefact some may depend on other artefacts in different degrees, consistency during a software process. This paper explores the unidirectionally or bidirectionally. Thus, software artefacts trace-link creation and visualization between software artefacts, consistency management helps to fine-tune the software existing tool support, quality aspects and the applicability in a process. The incomplete, outdated software artefacts and their DevOps environment. As the novelty of this study, we identify the inconsistencies mislead both the development and maintenance challenges that limit the traceability considerations in DevOps process. Thus, artefact management is essential such that the and suggest research directions. Our methodology consists of changes are accurately propagated to the impacted artefacts concept identification, state-of-practice exploration and analytical review. Despite the existing related work, there is a without creating inconsistencies. Traceability is the potential to lack of tool support for the traceability management between relate artefacts considering their relationships [4][5]; thus, a heterogeneous artefacts in software development with DevOps solution for artefact management. -
Global SCRUM GATHERING® Berlin 2014
Global 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 -
Linuxcon North America 2012
LinuxCon North America 2012 LTTng 2.0 : Tracing, Analysis and Views for Performance and Debugging. E-mail: [email protected] Mathieu Desnoyers August 29th, 2012 1 > Presenter ● Mathieu Desnoyers ● EfficiOS Inc. ● http://www.efficios.com ● Author/Maintainer of ● LTTng, LTTng-UST, Babeltrace, Userspace RCU Mathieu Desnoyers August 29th, 2012 2 > Content ● Tracing benefits, ● LTTng 2.0 Linux kernel and user-space tracers, ● LTTng 2.0 usage scenarios & viewers, ● New features ready for LTTng 2.1, ● Conclusion Mathieu Desnoyers August 29th, 2012 3 > Benefits of low-impact tracing in a multi-core world ● Understanding interaction between ● Kernel ● Libraries ● Applications ● Virtual Machines ● Debugging ● Performance tuning ● Monitoring Mathieu Desnoyers August 29th, 2012 4 > Tracing use-cases ● Telecom ● Operator, engineer tracing systems concurrently with different instrumentation sets. ● In development and production phases. ● High-availability, high-throughput servers ● Development and production: ensure high performance, low-latency in production. ● Embedded ● System development and production stages. Mathieu Desnoyers August 29th, 2012 5 > LTTng 2.0 ● Rich ecosystem of projects, ● Key characteristics of LTTng 2.0: – Small impact on the traced system, fast, user- oriented features. ● Interfacing with: Common Trace Format (CTF) Interoperability Between Tracing Tools Tracing Well With Others: Integration with the Common Trace Format (CTF), of GDB Tracepoints Into Trace Tools, Mathieu Desnoyers, EfficiOS, Stan Shebs, Mentor Graphics, -
Enabling Devops on Premise Or Cloud with Jenkins
Enabling 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. -
Integrating the GNU Debugger with Cycle Accurate Models a Case Study Using a Verilator Systemc Model of the Openrisc 1000
Integrating 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. -
Performance Tuning Workshop
Performance Tuning Workshop Samuel Khuvis Scientifc Applications Engineer, OSC February 18, 2021 1/103 Workshop Set up I Workshop – set up account at my.osc.edu I If you already have an OSC account, sign in to my.osc.edu I Go to Project I Project access request I PROJECT CODE = PZS1010 I Reset your password I Slides are the workshop website: https://www.osc.edu/~skhuvis/opt21_spring 2/103 Outline I Introduction I Debugging I Hardware overview I Performance measurement and analysis I Help from the compiler I Code tuning/optimization I Parallel computing 3/103 Introduction 4/103 Workshop Philosophy I Aim for “reasonably good” performance I Discuss performance tuning techniques common to most HPC architectures I Compiler options I Code modifcation I Focus on serial performance I Reduce time spent accessing memory I Parallel processing I Multithreading I MPI 5/103 Hands-on Code During this workshop, we will be using a code based on the HPCCG miniapp from Mantevo. I Performs Conjugate Gradient (CG) method on a 3D chimney domain. I CG is an iterative algorithm to numerically approximate the solution to a system of linear equations. I Run code with srun -n <numprocs> ./test_HPCCG nx ny nz, where nx, ny, and nz are the number of nodes in the x, y, and z dimension on each processor. I Download with: wget go . osu .edu/perftuning21 t a r x f perftuning21 I Make sure that the following modules are loaded: intel/19.0.5 mvapich2/2.3.3 6/103 More important than Performance! I Correctness of results I Code readability/maintainability I Portability - -
System Wide Tracing and Profiling in Linux
SYSTEM WIDE TRACING AND PROFILING IN LINUX Nadav Amit Agenda • System counters inspection • Profiling with Linux perf tool • Tracing using ftrace Disclaimer • Introductory level presentation • We are not going to cover many tools • We are not going to get deep into the implementation of the tools • I am not an expert on many of the issues Collect Statistics • First step in analyzing the system behavior • Option 1: Resource statistics tools • iostat, vmstat, netstat, ifstat • dstat Examples: dstat --vm --aio • dstat • dstat --udp --tcp --socket • dstat --vm --aio dstat --udp --tcp --socket Watch system behavior online • Option 2: Sample the counter • top • Use –H switch for thread specific • Use ‘f’ to choose additional fields: page faults, last used processor • Use ‘1’ to turn off cumulative mode • iotop • Remember to run as sudoer top Inspect Raw Counters • Option 3: Go to the raw counters • General • /proc/stat • /proc/meminfo • /proc/interrupts • Process specific • /proc/[pid]/statm – process memory • /proc/[pid]/stat – process execution times • /proc/[pid]/status – human readable • Device specific • /sys/block/[dev]/stat • /proc/dev/net • Hardware • smartctl /proc/interrupts /sys/block/[dev]/stat Name units description ---- ----- ----------- read I/Os requests number of read I/Os processed read merges requests number of read I/Os merged with in-queue I/O read sectors sectors number of sectors read read ticks milliseconds total wait time for read requests write I/Os requests number of write I/Os processed write merges requests number -
Code Profilers Choosing a Tool for Analyzing Performance
Code 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 -
Bidirectional Tracing of Requirements in Embedded Software Development
Bidirectional Tracing of Requirements in Embedded Software Development Barbara Draxler _________________________________ Fachbereich Informatik Universität Salzburg Abstract Nowadays, the increased complexity of embedded systems applications re- quires a systematic process of software development for embedded systems. An important difficulty in applying classical software engineering processes in this respect is ensuring that specific requirements of safety and real-time properties, which are usually posed at the beginning of the development, are met in the final implementation. This difficulty stems from the fact that requirements engineering in general is not mature in the established soft- ware development models. Nevertheless, several manufacturers have recently started to employ available requirements engineering methods for embedded software. The aim of this report is to provide insight into manufacturer practices in this respect. The report provides an analysis of the current state-of-art of requirements engineering in embedded real-time systems with respect to re- quirements traceability. Actual examples of requirements traceability and requirements engineering are analyzed against current research in require- ments traceability and requirements engineering. This report outlines the principles and the problems of traceability. Fur- thermore, current research on new traceability methods is presented. The importance of requirements traceability in real-time systems is highlighted and related significant research issues in requirements engineering are out- lined. To gain an insight in how traceability can aid process improvement, the viewpoint of CMMI towards requirements engineering and traceability is described. A short introduction in popular tracing tools that support require- ments engineering and especially traceability is given. Examples of traceabil- ity in the development of real-time systems at the Austrian company AVL are presented. -
Traceability in Agile Software Projects
Traceability in Agile software projects Master of Science Thesis in Software Engineering & Management VUONG HOANG DUC University of Gothenburg Chalmers University of Technology Department of Computer Science and Engineering Göteborg, Sweden, May 2013 The Author grants to Chalmers University of Technology and University of Gothenburg the non-exclusive right to publish the Work electronically and in a non-commercial purpose make it accessible on the Internet. The Author warrants that he/she is the author to the Work, and warrants that the Work does not contain text, pictures or other material that violates copyright law. The Author shall, when transferring the rights of the Work to a third party (for example a publisher or a company), acknowledge the third party about this agreement. If the Author has signed a copyright agreement with a third party regarding the Work, the Author warrants hereby that he/she has obtained any necessary permission from this third party to let Chalmers University of Technology and University of Gothenburg store the Work electronically and make it accessible on the Internet. Traceability in Agile software projects VUONG.HOANG DUC VUONG. HOANG DUC, May 2013. Examiner: CHRISTIAN.BERGER University of Gothenburg Chalmers University of Technology Department of Computer Science and Engineering SE-412 96 Göteborg Sweden Telephone + 46 (0)31-772 1000 ABSTRACT Context: Software applications have been penetrating every corner of our daily life in the past decades. This condition demands high quality software. Traceability activities have been recognized as important factors supporting various activities during the development process of a software system with the aim of improving software quality.