intel System Studio 2018 Beta 새로운플랫폼을위한새로운맞춤형개발자경험

Transcription

1 intel System Studio 2018 Beta 새로운플랫폼을위한새로운맞춤형개발자경험

2 Introduction to Developer Products Division Technical Computing IoT, Wearables, Embedded & Mobile Systems Computer Vision Performance Client Media & Apps Intel Parallel Studio XE Improve application performance, scalability and reliability Intel System Studio Create next-gen IoT, wearables, embedded & mobile systems and applications Intel Computer Vision SDK Accelerate Computer Vision Solutions on Intel Platforms Intel Media Server Studio Achieve native performance across-platforms

3 What s Inside Intel System Studio 2018 Beta Ultimate Edition COMPILER & LIBRARIES ANALYZERS DEBUGGERS C/C++ Compiler Image, Signal, Math, Threading, Data Analytics IoT Sensors & Connectors Power & Performance Memory & Threading Application & System Debug & Trace System & Application Code Running on Linux *1, Android *, Windows * Simics * Platform Simulation JTAG, JTAG over USB UEFI *2 Agent Integrated Development Environment (IDE) Eclipse* Standard Host OS Support: Linux*, Windows*, MacOS* Language Support: C, C++, Java*, Java Development Tools*, JavaScript* Intel Architecture-based Platforms 1 Linux*, Embedded Linux*, Wind River* Linux*, Yocto* Project 2 UEFI: Unified Extensible Firmware Interface 3

4 Build & Optimize Analyze Debug & Trace System Software & IoT Applications Eclipse*, Microsoft Visual Studio* Intel Integrated Performance Primitives Intel Math Kernel Library Threading Library Intel C++ Compiler incl. Intel Graphics Technology offload During run-time Intel System Analyzer CPU/GPU workloads Or Offline Intel Platform Analyzer Intel VTune Amplifier Intel Energy Profiler Intel Frame Analyzer Code performance on the CPU SoC system power OpenGL ES, DirectX graphics performance Application Applications code Intel-enhanced GDB Application Debugger Intel System Debugger Use highly-optimized libraries & optimizing compiler technology Intel Inspector Application robustness (memory leaks) System Software

5 Intel System Studio 2018 Beta Be First to Innovate New! Boost Performance & Power Efficiency (Analysis and Writing Code) Utilize Intel AVX-512 instructions to improve code optimization and system performance Use new data analytics library, improved data compression and optimizations for small matrix multiplication Speed System & IoT Application Development Optimized workflows, new libraries and code samples Innovate faster with access to 400+ sensors Strengthen System Reliability (Debug) Ease the system validation process for target devices with new Target Connection Assistant Automate tracing easily with new scripting capabilities using the new command line interface 5

6 Compiler and Libraries 6

7 Intel Compiler? Have you Ever heard? Intel Confidential 7

8 PGI* Visual C++* 2015 Intel C Clang* 3.8 GCC* Intel C PGI* Visual* C Intel 17.0 Clang* 3.8 GCC* Intel 17.0 PGI* Visual* C Intel C Clang* 3.8 GCC* Intel C PGI* Visual* C Intel 17.0 Clang* 3.8 GCC* Intel 17.0 Intel C++ Compilers-Performance Advantage as measured by SPEC* Boost C++ application performance on Windows* & Linux* using Intel C++ Compiler (higher is better) Floating Point Integer Floating Point Integer Windows Linux Windows Linux Estimated SPECfp_rate_base2006 Estimated SPECint_rate_base2006 Relative geomean performance, SPEC* benchmark - higher is better Windows Linux Windows Linux Estimated SPECfp_speed_base2006 Estimated SPECint_speed_base2006 Relative geomean performance, SPEC* benchmark - higher is better Configuration: Windows* hardware: Intel Xeon CPU E GHz, HT enabled, TB enabled, 32 GB RAM; Linux* hardware: Intel Xeon CPU E GHz, 256 GB RAM, HyperThreading is on. Software: Intel Compilers 17.0, Microsoft C/C++ Optimizing Compiler* Version for x86/x64, GCC PGI 15.10, Clang/LLVM 3.8 Linux OS: Red Hat Enterprise Linux* Server release 7.1 (Maipo), kernel el7.x86_64. Windows OS: Windows 10 Pro* ( N/A Build 10240). SPEC* Benchmark ( SmartHeap libs 11.3 for Microsoft Visual C++* and Intel Compiler were used for SPECint* benchmarks Configuration: Windows* hardware: Intel Xeon CPU E GHz, HT enabled, TB enabled, 32 GB RAM; Linux* hardware: Intel Xeon CPU E GHz, 256 GB RAM, HyperThreading is on. Software: Intel Compilers 17.0, Microsoft C/C++ Optimizing Compiler* Version for x86/x64, GCC PGI 15.10, Clang/LLVM 3.8 Linux OS: Red Hat Enterprise Linux* Server release 7.1 (Maipo), kernel el7.x86_64. Windows OS: Windows 10 Pro* ( N/A Build 10240). SPEC* Benchmark ( Software & workloads used in performance tests may have been optimized for performance only on Intel microprocessors. Performance tests, such as SYSmark and MobileMark, are measured using specific computer systems, components, software, operations & functions. Any change to any of those factors may cause the results to vary. You should consult other information & performance tests to assist you in fully evaluating your contemplated purchases, including the performance of that product when combined with other products. Benchmark Source: Intel Corporation - : Intel s compilers may or may not optimize to the same degree for non-intel microprocessors for optimizations that are not unique to Intel microprocessors. These optimizations include SSE2, SSE3, and SSSE3 instruction sets and other optimizations. Intel does not guarantee the availability, functionality, or effectiveness of any optimization on microprocessors not manufactured by Intel. Microprocessor-dependent optimizations in this product are intended for use with Intel microprocessors. Certain optimizations not specific to Intel microarchitecture are reserved for Intel microprocessors. Refer to the applicable product User & Reference Guides for more information regarding the specific instruction sets covered by this notice. Notice revision #

9 Optimized for Latest HW, Language Standards Intel C,C++ Compilers 18.0 Beta New! Optimizations for latest processors Initial OpenMP* 5.0 draft support Microsoft* Visual Studio* 2017 integration Lightweight hardware-based profile-guided optimization Full C11 and C++14, initial C

10 New and Enhanced Math Functions Intel Math Kernel Library 2018 Beta BLAS BLAS Batch API LAPACK New! New Vector Math Functions New integer multiplication routines Improved SGEMM optimization Convolution & inner product optimizations BLAS group & batch: Efficiency & performance New - Batched triangular solve matrix Faster GEMM_BATCH Good for medium-tosmall matrices Aasen s Algorithm Factorization & solver routines Improved performance 24 New Algorithms Richer choice of optimized routines 10

11 Support for Latest HW, Faster Compression Intel Integrated Performance Primitives 2018 Beta Latest Hardware Cryptography Compression Support for next generation processors Extended optimization for AVX2 and AVX512 No dependence on main Intel IPP package nor version Optimization of LZO (lossless compression algorithm) with SSE4.2 and AVX2 11

12 Faster Machine Learning & Analytics with Intel DAAL New! Features highly tuned functions for classical machine learning and analytics performance across spectrum of Intel architecture devices Pre-processing Transformation Analysis Modeling Validation Decision Making Decompression, Filtering, Normalization Aggregation, Dimension Reduction Summary Statistics Clustering, etc. Machine Learning (Training) Parameter Estimation Simulation Hypothesis testing Model errors Forecasting Decision Trees, etc. Learn More: software.intel.com/daal

13 New and Enhanced Machine Learning Algorithms Intel Data Analytics Acceleration Library New High-Performance Machine Learning Algorithms API Modifications New! Neural Network New Classification and Regression Decision Tree including Gini Index and Information Gain Mean Square Error for Regression Split Criteria Reduced error pruning New Classification & Regression Decision Forest including Gini Index & variance for regression split criteria & generalization error Mean decrease impurity & accuracy variable importance Improved ease of use Improve consistency Added API sample documentation Based on customer feedback New optimizations & functionality Support for varying learning rate for stochastic gradient descent 13

14 System debug 14

15 Intel System Debugger (ISD) 2018 Beta Intel System Studio (ISS) Target system COMPILER & LIBRARIES C/C++ Compiler Image, Signal, Math and Data Processing ANALYZERS Power & Performance Memory & Threading System and Application Code Running on Linux* 1, Android*, Windows* 2 Application & System Intel Architecture-based Platforms DEBUGGERS Target Connection Assistant (TCA) System Debug, System Trace & WinDbg* Extension Simics* Platform Simulation JTAG, JTAG over USB UEFI* 3 Agent Intel System Debugger (ISD) 1 Linux*, Embedded Linux, Wind River* Linux*, Yocto Project* 2 Windows*: WinDbg* extension only works for Windows target 3 UEFI: Unified Extensible Firmware Interface 15

16 Intel System Debugger (ISD) 2018 Includes 3 debugging tools to trace ME/BIOS code, read/write SoC registers, get system logs System Debug (XDB) / System Trace / WinDbg* Extension Support 3 probes to connect a host PC and a target platform ITP-XDP3 / CCA (Closed Chassis Adapter) / DbC (DCI USB 3.0 Debug Class) 16

17 Target Connection Assistant (TCA) New! Key features TCA is an integrated portal of Intel System Studio (ISS) tools to setup the target and connection type System Debug, System Trace, and WinDbg* Extension have the same connection configuration set in TCA 17

18 Intel WinDbg* Extension Intel Debug Extension for WinDBG* provides a JTAG based transport layer for WinDBG* Based on MSFT EXDI interface Extends WinDBG* to additional use cases like debug early boot or hibernate Based on Intel ITP and OpenIPC WinDBG* JTAG connection Host Target 18

19 19

20 Analyze tools 20

21 Intel VTune Amplifier 2018 Power & Performance Analyzer Where is my system Spending Time? Wasting Time? Waiting Too Long? Waking-up Too Often? Focus tuning on functions taking time See call stacks See time on source See cache misses on your source See functions sorted by # of cache misses See locks by wait time Red/Green for CPU utilization during wait See wakeup causes on your source See CPU frequencies per core 21

22 Intel VTune Amplifier Faster, Scalable Code Faster Get the Data You Need Hotspot (Statistical call tree), Call counts (Statistical) Thread Profiling Concurrency and Lock & Waits Analysis Cache miss, Bandwidth analysis 1 GPU Offload and OpenCL Kernel Tracing Find Answers Fast View Results on the Source / Assembly OpenMP Scalability Analysis, Graphical Frame Analysis Filter Out Extraneous Data Organize Data with Viewpoints Visualize Thread & Task Activity on the Timeline Easy to Use No Special Compiles C, C++, C#, Fortran, Java, ASM Visual Studio* Integration or Stand Alone Local & Remote Data Collection, Command Line Analyze Windows* & Linux* data on OS X* 2 Quickly Find Tuning Opportunities See Results On The Source Code Tune OpenMP Scalability Visualize & Filter Data 1 Events vary by processor. 2 No data collection on OS X* 22

23 Easier Profiling of Remote Linux Systems Automated install of performance collectors on a remote Linux target New! Just Specify an SSH Connection and Install Directory No separate download and install required Always get the correct version of the collectors 23

24 Optimize Private Cloud-Based Applications Profile native & Java apps in containers New! Profile Enterprise Applications Native C, C++, Fortran Attach to running Java services (e.g., Mail) Profile Java daemons without restart Accurate low-overhead data collection Advanced hotspots and hardware events Memory analysis Accurate stack information for Java and HHVM Host VTune Amplifier User Interface Run analysis Get results Container No container configuration required Detection of the container is automatic Native or Java application Popular containers supported Docker Mesos Software collectors (e.g. Locks & Waits) and Python profiling are not currently available for containers. 24

25 Memory Consumption Analysis See What Is Allocating Memory Lists top memory consuming functions and objects View source to understand cause Filter by time using the memory consumption timeline Standard & Custom Allocators Recognizes libc malloc/free, memkind and jemalloc libraries Use custom allocators after markup with ITT Notify API Languages Python Linux: Native C, C++, Fortran 25

26 Intel Inspector Memory and Thread Debugger Fewer False Positives, Latest OSs Fewer False Positives Previous lock/unlock model expanded to unlocked, lock for read, lock for write C++ 17 std::shared_mutex added Windows SRW Locks added Use the latest OSs. Just added: Fedora 25 Ubuntu Find difficult to diagnose non-deterministic threading errors like race conditions Example race condition: New! 26

27 Analysis Tools in Intel GPA Graphics Monitor Launch and configuration tool System Analyzer / HUD In-game analysis Platform Analyzer/Trace Analyzer (Beta) Timeline analysis Frame Analyzer(s) Single frame analysis 27

28 Intel Energy Profiler Platform Power Analysis Viewpoint 28

29 IoT features 29

30 At a glance Container based cross-compile environment, seamlessly integrated in Eclipse IDE Easy setup on host systems, easy deployment and debug on targets Supports Linux, Windows, and Mac OS X hosts Sensor Libraries: Hardware Abstraction Layer (mraa) and Sensor Framework (UPM) Simplifies developer experience for developing with sensors & actuators Enables portability across Intel Developer Kits and Intel Platforms Supports 400+ sensors including industrial sensors and connectivity protocols All APIs comes with code examples and documentation Compliments Industry standards 30

31 Sensor Library 400+ specialized sensor drivers and growing, thousands of basic prototyping and industrial sensors supported (e.g. LEDs, Switches) New! Prototype Industrial and many more 31

32 Intel System Studio IDE Container / IoT Projects New! Samples integrated in New Project wizard Easy way to start with developing an IDE application Samples include Sensor library and Cloud connectors Sensor Support window Easy to find supported sensors and locate documentation and samples Remote application deployment and debug using Eclipse TCF infrastructure 32

33 Hardware Abstraction (mraa) Standard IO Interface for all IoT Developer Kits Typical stack on UNIX systems: Supports Intel & non-intel (community) platforms Abstraction APIs: GPIO Analog (AIO) PWM SPI I 2 C UART 1-Wire Firmata IIO Open source on GitHub: Legacy Boards Aaeon * UP & UP2 MinnowBoard Intel IoT Gateways 33

34 Standardized Sensor APIs (UPM) Sensors Actuators Connectivity Industrial Light Temp Gyro Gas Humidity Accel Other UPM C++ APIs UPM C generic interfaces GPIO i2c SPI UART PWM MRAA C/C++ APIs iio Libmodbus Bacnet Other Linux Kernel 34

35 IDE Enhancements 35

36 Eclipse* IDE for Code Development New! Includes a welcome screen with Getting Started Guides for common workflows: Build Debug Analyze 36

37 Create New Project Wizard Includes code samples as an easy way to start code development 37

38 Container-based Cross-compile Environment Support for multiple hosts (Windows, Linux, Mac OS X) Support for multiple Linuxbased targets (Ubuntu, Wind River Linux, Yocto, and so on) 38

39 Conclusion Get the Beta package Choose your target and host OS, and tools you want to use 2. Complete registration, then download the beta software 4 ways to give feedback Go to supporttickets.intel.com and get 1:1 help System Studio forum intelsystemstudio@intel.com Beta Survey 39

40 Legal Disclaimer & INFORMATION IN THIS DOCUMENT IS PROVIDED AS IS. NO LICENSE, EXPRESS OR IMPLIED, BY ESTOPPEL OR OTHERWISE, TO ANY INTELLECTUAL PROPERTY RIGHTS IS GRANTED BY THIS DOCUMENT. INTEL ASSUMES NO LIABILITY WHATSOEVER AND INTEL DISCLAIMS ANY EXPRESS OR IMPLIED WARRANTY, RELATING TO THIS INFORMATION INCLUDING LIABILITY OR WARRANTIES RELATING TO FITNESS FOR A PARTICULAR PURPOSE, MERCHANTABILITY, OR INFRINGEMENT OF ANY PATENT, COPYRIGHT OR OTHER INTELLECTUAL PROPERTY RIGHT. Software and workloads used in performance tests may have been optimized for performance only on Intel microprocessors. Performance tests, such as SYSmark and MobileMark, are measured using specific computer systems, components, software, operations and functions. Any change to any of those factors may cause the results to vary. You should consult other information and performance tests to assist you in fully evaluating your contemplated purchases, including the performance of that product when combined with other products. Copyright 2016, Intel Corporation. All rights reserved. Intel, Pentium, Xeon, Xeon Phi, Core, VTune, Cilk, and the Intel logo are trademarks of Intel Corporation in the U.S. and other countries. Intel s compilers may or may not optimize to the same degree for non-intel microprocessors for optimizations that are not unique to Intel microprocessors. These optimizations include SSE2, SSE3, and SSSE3 instruction sets and other optimizations. Intel does not guarantee the availability, functionality, or effectiveness of any optimization on microprocessors not manufactured by Intel. Microprocessor-dependent optimizations in this product are intended for use with Intel microprocessors. Certain optimizations not specific to Intel microarchitecture are reserved for Intel microprocessors. Please refer to the applicable product User and Reference Guides for more information regarding the specific instruction sets covered by this notice. Notice revision #

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42 Remote Target Connection using Eclipse* TCF Uniform method for connecting to remote targets: Linux targets application deployment and debugging JTAG (ITP, USB DbC) System Debug and Trace 42