This document provides an overview and agenda for a Cell Broadband Engine programming workshop. It discusses the Cell BE system organization, software development environment, and programming techniques. The agenda outlines the history and roadmap of the Cell BE software stack development from 2005 to 2007, including details on SDK releases, compiler tools, and supported platforms. It provides resources and documentation for developing applications on the Cell BE.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2021/08/khronos-group-standards-powering-the-future-of-embedded-vision-a-presentation-from-the-khronos-group/
Neil Trevett, Vice President of Developer Ecosystems at NVIDIA and President of the Khronos Group, presents the “Khronos Group Standards: Powering the Future of Embedded Vision” tutorial at the May 2021 Embedded Vision Summit.
Open standards play an important role in enabling interoperability for faster, easier deployment of vision-based systems. With advances in machine learning, the number of accelerators, processors, libraries and compilers in the market is rapidly increasing. Proprietary APIs and formats create a complex industry landscape that can hinder overall market growth.
The Khronos Group’s open standards for accelerating parallel programming play a major role in deploying inferencing and embedded vision applications and include SYCL, OpenVX, NNEF, Vulkan, SPIR, and OpenCL. Trevett provides an up-to-the-minute overview and update on the Khronos embedded vision ecosystem, highlighting the capabilities and benefits of each API, giving viewers insight into which standards may be relevant to their own embedded vision projects, and discussing the future directions of these key industry initiatives.
SDVIs and In-Situ Visualization on TACC's StampedeIntel® Software
Speaker: Paul Navrátil, Texas Advanced Computing Center (TACC)
The design emphasis for supercomputing systems has moved from raw performance to performance-per-watt, and as a result, supercomputing architectures are converging on processors with wide vector units and many processing cores per chip. Such processors are capable of performant image rendering purely in software. This improved capability is fortuitous, since the prevailing homogeneous system designs lack dedicated, hardware-accelerated rendering subsystems for use in data visualization. Reliance on this “software-defined” rendering capability will grow in importance since, due to growing data sizes, visualizations must be performed on the same machine where the data is produced. Further, as data sizes outgrow disk I/O capacity, visualization will be increasingly incorporated into the simulation code itself (in situ visualization).
This talk presents recent work in high-fidelity visualization using the OSPRay ray tracing framework on TACC’s local and remote visualization systems. We present work using OSPRay within ParaView Catalyst in situ framework from Kitware, including capitalizing on opportunities to reduce data costs migrating through VTK filters for visualization. We highlight the performance opportunities and advantages of Intel® Advanced Vector Extensions 512, the memory system improvements possible with Intel® Xeon Phi™ processor multi-channel DRAM (MCDRAM) and the Intel® Omni-Path Architecture interconnect.
IMAGE CAPTURE, PROCESSING AND TRANSFER VIA ETHERNET UNDER CONTROL OF MATLAB G...Christopher Diamantopoulos
This implemented DSP system utilizes TCP socket communication. Upon message reception, it decides the appropriate process to be executed based on cases which can be categorized as follows:
1) image capture
2) image transfer
3) image processing
4) sensor calibration
A user-friendly MATLAB GUI, named DIPeth, facilitates the system's control.
Best Practices and Performance Studies for High-Performance Computing ClustersIntel® Software
This session focuses on key system tunables for maximizing application performance of high-performance computing (HPC) workloads, and addresses porting, optimizing, and running applications to maximize performance. We present practical tips and techniques for building and running applications on multicore processors. We analyze sample performance and scaling data from various applications, and identify the best options.
Kernel Recipes 2013 - Overview display in the Linux kernelAnne Nicolas
The Linux kernel has adapted in recent years to cope with the arrival of the embedded platforms using more and more advanced graphics capabilities. This presentation will explore the past challenges, but also the present and future, focusing on the current situation, the problems we face and the solutions that are currently proposed and considered.
Kernel Recipes 2014 - Testing Video4Linux Applications and DriversAnne Nicolas
The video4linux subsystem of the kernel is a very large API with many ioctls, settings, options and capabilities. This poses a problem both for the kernel developer and for the application developer.
Since early this year major improvements have been made to both the v4l2-compliance utility for verifying drivers, and to the virtual video driver that applications can use as a reference input.
This presentation will explain and demonstrate this utility and driver and show how to use them to ensure your driver or application works correctly.
Hans Verkuil, Cisco Systems Norway
Embedded Recipes 2019 - Herd your socs become a matchmakerAnne Nicolas
About 60% of the Linux kernel source tree is devoted to drivers for a large variety of supported hardware components. Especially in the embedded world, the number of different SoC families, versions, and revisions, integrating a myriad of “IP cores”, keeps on growing.
In this presentation, Geert will explain how to match drivers against hardware, and how to support a wide variety of (dis)similar devices, without turning platform and driver code into an entangled bowl of spaghetti.tra
Starting with a brief history of driver matching in Linux, he will fast-forward to device-tree based matching. He will discuss ways to handle slight variations of the same hardware devices, and different SoC revisions, each with their own quirks and bugs. Finally, Geert will show best practices for evolving device drivers in a maintainable way, based on his experiences as an embedded Linux kernel developer and maintainer.
Geert Uytterhoeven
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2021/08/khronos-group-standards-powering-the-future-of-embedded-vision-a-presentation-from-the-khronos-group/
Neil Trevett, Vice President of Developer Ecosystems at NVIDIA and President of the Khronos Group, presents the “Khronos Group Standards: Powering the Future of Embedded Vision” tutorial at the May 2021 Embedded Vision Summit.
Open standards play an important role in enabling interoperability for faster, easier deployment of vision-based systems. With advances in machine learning, the number of accelerators, processors, libraries and compilers in the market is rapidly increasing. Proprietary APIs and formats create a complex industry landscape that can hinder overall market growth.
The Khronos Group’s open standards for accelerating parallel programming play a major role in deploying inferencing and embedded vision applications and include SYCL, OpenVX, NNEF, Vulkan, SPIR, and OpenCL. Trevett provides an up-to-the-minute overview and update on the Khronos embedded vision ecosystem, highlighting the capabilities and benefits of each API, giving viewers insight into which standards may be relevant to their own embedded vision projects, and discussing the future directions of these key industry initiatives.
SDVIs and In-Situ Visualization on TACC's StampedeIntel® Software
Speaker: Paul Navrátil, Texas Advanced Computing Center (TACC)
The design emphasis for supercomputing systems has moved from raw performance to performance-per-watt, and as a result, supercomputing architectures are converging on processors with wide vector units and many processing cores per chip. Such processors are capable of performant image rendering purely in software. This improved capability is fortuitous, since the prevailing homogeneous system designs lack dedicated, hardware-accelerated rendering subsystems for use in data visualization. Reliance on this “software-defined” rendering capability will grow in importance since, due to growing data sizes, visualizations must be performed on the same machine where the data is produced. Further, as data sizes outgrow disk I/O capacity, visualization will be increasingly incorporated into the simulation code itself (in situ visualization).
This talk presents recent work in high-fidelity visualization using the OSPRay ray tracing framework on TACC’s local and remote visualization systems. We present work using OSPRay within ParaView Catalyst in situ framework from Kitware, including capitalizing on opportunities to reduce data costs migrating through VTK filters for visualization. We highlight the performance opportunities and advantages of Intel® Advanced Vector Extensions 512, the memory system improvements possible with Intel® Xeon Phi™ processor multi-channel DRAM (MCDRAM) and the Intel® Omni-Path Architecture interconnect.
IMAGE CAPTURE, PROCESSING AND TRANSFER VIA ETHERNET UNDER CONTROL OF MATLAB G...Christopher Diamantopoulos
This implemented DSP system utilizes TCP socket communication. Upon message reception, it decides the appropriate process to be executed based on cases which can be categorized as follows:
1) image capture
2) image transfer
3) image processing
4) sensor calibration
A user-friendly MATLAB GUI, named DIPeth, facilitates the system's control.
Best Practices and Performance Studies for High-Performance Computing ClustersIntel® Software
This session focuses on key system tunables for maximizing application performance of high-performance computing (HPC) workloads, and addresses porting, optimizing, and running applications to maximize performance. We present practical tips and techniques for building and running applications on multicore processors. We analyze sample performance and scaling data from various applications, and identify the best options.
Kernel Recipes 2013 - Overview display in the Linux kernelAnne Nicolas
The Linux kernel has adapted in recent years to cope with the arrival of the embedded platforms using more and more advanced graphics capabilities. This presentation will explore the past challenges, but also the present and future, focusing on the current situation, the problems we face and the solutions that are currently proposed and considered.
Kernel Recipes 2014 - Testing Video4Linux Applications and DriversAnne Nicolas
The video4linux subsystem of the kernel is a very large API with many ioctls, settings, options and capabilities. This poses a problem both for the kernel developer and for the application developer.
Since early this year major improvements have been made to both the v4l2-compliance utility for verifying drivers, and to the virtual video driver that applications can use as a reference input.
This presentation will explain and demonstrate this utility and driver and show how to use them to ensure your driver or application works correctly.
Hans Verkuil, Cisco Systems Norway
Embedded Recipes 2019 - Herd your socs become a matchmakerAnne Nicolas
About 60% of the Linux kernel source tree is devoted to drivers for a large variety of supported hardware components. Especially in the embedded world, the number of different SoC families, versions, and revisions, integrating a myriad of “IP cores”, keeps on growing.
In this presentation, Geert will explain how to match drivers against hardware, and how to support a wide variety of (dis)similar devices, without turning platform and driver code into an entangled bowl of spaghetti.tra
Starting with a brief history of driver matching in Linux, he will fast-forward to device-tree based matching. He will discuss ways to handle slight variations of the same hardware devices, and different SoC revisions, each with their own quirks and bugs. Finally, Geert will show best practices for evolving device drivers in a maintainable way, based on his experiences as an embedded Linux kernel developer and maintainer.
Geert Uytterhoeven
Accelerate Big Data Processing with High-Performance Computing TechnologiesIntel® Software
Learn about opportunities and challenges for accelerating big data middleware on modern high-performance computing (HPC) clusters by exploiting HPC technologies.
IBM CAPIの概要です。
この資料は、「IBM CAPIのシミュレーション環境」を説明した資料の最初の部分です。
「IBM CAPIのシミュレーション環境」では、Ubuntu 14.04 + ModelSim ASE 10.4dでソフトウェアとハードウェアとのコ・シミュレーションを実際に経験できるような構成になっています。
An overview of IBM CAPI.
This document is the first part of the document that describes "IBM CAPI simulation environment".
"IBM CAPI simulation environment" is configured so that you can actually experience co-simulation of software and hardware with Ubuntu 14.04 + ModelSim ASE 10.4 d.
Scalability for All: Unreal Engine* 4 with Intel Intel® Software
Unreal Engine* 4 is a high-performance game engine for game developers. Learn how Intel and Epic Games* worked together to improve engine performance both for CPUs and GPUs and how developers can take advantage of it.
Design and Optimize your code for high-performance with Intel® Advisor and I...Tyrone Systems
For all that we’re unable to attend or would like to recap our live webinar Unleash the Secrets of Performance Profiling with Intel® oneAPI Profiling Tools, all the resources you need are available to you!
Learn about locating and removing bottlenecks is an inherent challenge for every application developer. And it’s made more complex when porting an app to a new platform (say, from a CPU to a GPU). Developers must not only identify bottlenecks; they must figure out which parts of the code will benefit from offloading in the first place. This webinar will focus on how to do just that using two profiling tools from Intel: Intel® VTune Amplifier and Intel Advisor.
Accelerate Big Data Processing with High-Performance Computing TechnologiesIntel® Software
Learn about opportunities and challenges for accelerating big data middleware on modern high-performance computing (HPC) clusters by exploiting HPC technologies.
IBM CAPIの概要です。
この資料は、「IBM CAPIのシミュレーション環境」を説明した資料の最初の部分です。
「IBM CAPIのシミュレーション環境」では、Ubuntu 14.04 + ModelSim ASE 10.4dでソフトウェアとハードウェアとのコ・シミュレーションを実際に経験できるような構成になっています。
An overview of IBM CAPI.
This document is the first part of the document that describes "IBM CAPI simulation environment".
"IBM CAPI simulation environment" is configured so that you can actually experience co-simulation of software and hardware with Ubuntu 14.04 + ModelSim ASE 10.4 d.
Scalability for All: Unreal Engine* 4 with Intel Intel® Software
Unreal Engine* 4 is a high-performance game engine for game developers. Learn how Intel and Epic Games* worked together to improve engine performance both for CPUs and GPUs and how developers can take advantage of it.
Design and Optimize your code for high-performance with Intel® Advisor and I...Tyrone Systems
For all that we’re unable to attend or would like to recap our live webinar Unleash the Secrets of Performance Profiling with Intel® oneAPI Profiling Tools, all the resources you need are available to you!
Learn about locating and removing bottlenecks is an inherent challenge for every application developer. And it’s made more complex when porting an app to a new platform (say, from a CPU to a GPU). Developers must not only identify bottlenecks; they must figure out which parts of the code will benefit from offloading in the first place. This webinar will focus on how to do just that using two profiling tools from Intel: Intel® VTune Amplifier and Intel Advisor.
The Cypress PSoC is a programmable “system on chip” device which includes all the functions of a traditional microcontroller, in addition to programmable analog and digital blocks. This combination of resources makes the chip well suited to robotics applications. This will be an introductory talk covering the basic architecture and development tools.
A presentation introducing Spectra\'s product family, competitive advantage, CX V3.2\'s solutions, features & benefits, availability, price, collateral & demonstrating its uses.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2022/08/open-standards-powering-the-future-of-embedded-vision-a-presentation-from-the-khronos-group/
Neil Trevett, President of the Khronos Group and Vice President of Developer Ecosystems at NVIDIA, presents the “Open Standards: Powering the Future of Embedded Vision” tutorial at the May 2022 Embedded Vision Summit.
Open standards play an important role in enabling interoperability for efficient deployment of vision-based systems. In this session, Trevett shares an update on the family of Khronos Group standards for programming and deploying accelerated inferencing and embedded vision, including OpenCL, Vulkan Safety Critical, OpenVX, SYCL and NNEF.
Trevett discusses the evolving roadmap for these standards and provides insights to help you understand which standards are relevant to your projects. In addition, he introduces the new Khronos Embedded Camera API initiative. Trevett outlines the technical direction of the Embedded Camera API working group to create an open standard to streamline the integration and control of sophisticated embedded camera systems, and highlights how attendees can participate in this important industry initiative.
Christchurch Embedded .NET User Group - Introduction to Microsoft Embedded pl...christopherfairbairn
Part 1 of the first session of the newly formed Christchurch Embedded .NET User Group.
Introduces the range of embedded platforms and technologies offered by Microsoft. Covers the .NET Micro and Compact Frameworks as well as operating systems such as Windows Embedded CE and Windows Mobile.
Presented by Andrew Leckie, Bryn Lewis and myself.
7. Firmware e.g. Blades, Development platforms, etc Operating Systems such as Linux e.g. SPE exploitation, BE awareness Device Drivers Compilers C, C++, Fortran, etc Application Tooling and Environment Programming model/APIs for accelerators Scale out Systems Sector Specific Libraries ISVs, Universities, Labs, Open Source, etc. Applications ISV, Universities, Labs, etc HyperVisors Core Libraries e.g. SPE intrinsic, etc Ubiquitous for all Markets Market Segment Specific Cell based systems Software Stack SPE performance enhancements, improved scheduling and affinity management, SPE core files libSPE cleanup and vector math support for SPEs security utilities XLC GA with additional distro hosted platform coverage, Overlay support, gcc and xlC continued work on auto-vectorization/SIMDization, xlC MASS/V support Overlay support, Accelerated Library Framework (ALF) Performance tooling (oprofile, pmcount, VPA) Gdbserver server support for combined PPE/SPE remote debugging IDE integration with programming models, compiler, debugger and simulator support, In addition: libraries, programming model and frameworks, performance tools, operating systemsf rom IBM Ecosystem, Mercury, Sony, PeakStream, RapidMind, Yellow Dog
8. Cell Broadband Engine Architecture™ Technology Competitive Roadmap Performance Enhancements/ Scaling Enhanced Cell BE (1+8eDP) 65nm SOI Cell BE (1+8) 90nm SOI Cost Reduction 1TF Processor 45nm SOI Cell BE Roadmap Version 5.0 24-Jul-2006 All future dates are estimations only; Subject to change without notice. 2010 2009 2008 2007 2006
9. Cell Broadband Engine™ Blade – The first in a line of planned offerings using Cell Broadband Engine technology Performance 2006 2008 2007 Cell BE-Based Blade Advanced Cell BE-Based Blade Enhanced Cell BE-based Blade GA: 2H06 Target Availability: 2H07 Target Availability: 1H08 2 Cell BE Processors Single Precision Floating Pt Affinity 1 GB Memory Up to 4X PCI Express™ 2 Cell BE Processors Single Precision Floating Pt Affinity 2 GB Memory Up to 16X PCI Express 2 Enhanced Cell BE Processors SP & DP Floating Point Affinity Up to 16 GB Memory Up to 16X PCI Express Available: 17 July 2006 Target Availability: 1H07 Target Availability: 2H07 SDK 1.1 Alpha Software Hardware SDK 2.0 Beta Software SDK 3.0 GA Software Cell BE Roadmap Version 5.0 24-Jul-2006 All future dates are estimations only; Subject to change without notice.
25. Special Notices -- Trademarks This document was developed for IBM offerings in the United States as of the date of publication. IBM may not make these offerings available in other countries, and the information is subject to change without notice. Consult your local IBM business contact for information on the IBM offerings available in your area. In no event will IBM be liable for damages arising directly or indirectly from any use of the information contained in this document. Information in this document concerning non-IBM products was obtained from the suppliers of these products or other public sources. Questions on the capabilities of non-IBM products should be addressed to the suppliers of those products. IBM may have patents or pending patent applications covering subject matter in this document. The furnishing of this document does not give you any license to these patents. Send license inquires, in writing, to IBM Director of Licensing, IBM Corporation, New Castle Drive, Armonk, NY 10504-1785 USA. All statements regarding IBM future direction and intent are subject to change or withdrawal without notice, and represent goals and objectives only. The information contained in this document has not been submitted to any formal IBM test and is provided "AS IS" with no warranties or guarantees either expressed or implied. All examples cited or described in this document are presented as illustrations of the manner in which some IBM products can be used and the results that may be achieved. Actual environmental costs and performance characteristics will vary depending on individual client configurations and conditions. IBM Global Financing offerings are provided through IBM Credit Corporation in the United States and other IBM subsidiaries and divisions worldwide to qualified commercial and government clients. Rates are based on a client's credit rating, financing terms, offering type, equipment type and options, and may vary by country. Other restrictions may apply. Rates and offerings are subject to change, extension or withdrawal without notice. IBM is not responsible for printing errors in this document that result in pricing or information inaccuracies. All prices shown are IBM's United States suggested list prices and are subject to change without notice; reseller prices may vary. IBM hardware products are manufactured from new parts, or new and serviceable used parts. Regardless, our warranty terms apply. Many of the features described in this document are operating system dependent and may not be available on Linux. For more information, please check: http://www.ibm.com/systems/p/software/whitepapers/linux_overview.html Any performance data contained in this document was determined in a controlled environment. Actual results may vary significantly and are dependent on many factors including system hardware configuration and software design and configuration. Some measurements quoted in this document may have been made on development-level systems. There is no guarantee these measurements will be the same on generally-available systems. Some measurements quoted in this document may have been estimated through extrapolation. Users of this document should verify the applicable data for their specific environment. Revised January 19, 2006
26. Special Notices (Cont.) -- Trademarks The following terms are trademarks of International Business Machines Corporation in the United States and/or other countries: alphaWorks, BladeCenter, Blue Gene, ClusterProven, developerWorks, e business(logo), e(logo)business, e(logo)server, IBM, IBM(logo), ibm.com, IBM Business Partner (logo), IntelliStation, MediaStreamer, Micro Channel, NUMA-Q, PartnerWorld, PowerPC, PowerPC(logo), pSeries, TotalStorage, xSeries; Advanced Micro-Partitioning, eServer, Micro-Partitioning, NUMACenter, On Demand Business logo, OpenPower, POWER, Power Architecture, Power Everywhere, Power Family, Power PC, PowerPC Architecture, POWER5, POWER5+, POWER6, POWER6+, Redbooks, System p, System p5, System Storage, VideoCharger, Virtualization Engine. A full list of U.S. trademarks owned by IBM may be found at: http://www.ibm.com/legal/copytrade.shtml . Cell Broadband Engine and Cell Broadband Engine Architecture are trademarks of Sony Computer Entertainment, Inc. in the United States, other countries, or both. Rambus is a registered trademark of Rambus, Inc. XDR and FlexIO are trademarks of Rambus, Inc. UNIX is a registered trademark in the United States, other countries or both. Linux is a trademark of Linus Torvalds in the United States, other countries or both. Fedora is a trademark of Redhat, Inc. Microsoft, Windows, Windows NT and the Windows logo are trademarks of Microsoft Corporation in the United States, other countries or both. Intel, Intel Xeon, Itanium and Pentium are trademarks or registered trademarks of Intel Corporation in the United States and/or other countries. AMD Opteron is a trademark of Advanced Micro Devices, Inc. Java and all Java-based trademarks and logos are trademarks of Sun Microsystems, Inc. in the United States and/or other countries. TPC-C and TPC-H are trademarks of the Transaction Performance Processing Council (TPPC). SPECint, SPECfp, SPECjbb, SPECweb, SPECjAppServer, SPEC OMP, SPECviewperf, SPECapc, SPEChpc, SPECjvm, SPECmail, SPECimap and SPECsfs are trademarks of the Standard Performance Evaluation Corp (SPEC). AltiVec is a trademark of Freescale Semiconductor, Inc. PCI-X and PCI Express are registered trademarks of PCI SIG. InfiniBand™ is a trademark the InfiniBand® Trade Association Other company, product and service names may be trademarks or service marks of others. Revised July 23, 2006
27. (c) Copyright International Business Machines Corporation 2005. All Rights Reserved. Printed in the United Sates September 2005. The following are trademarks of International Business Machines Corporation in the United States, or other countries, or both. IBM IBM Logo Power Architecture Other company, product and service names may be trademarks or service marks of others. All information contained in this document is subject to change without notice. The products described in this document are NOT intended for use in applications such as implantation, life support, or other hazardous uses where malfunction could result in death, bodily injury, or catastrophic property damage. The information contained in this document does not affect or change IBM product specifications or warranties. Nothing in this document shall operate as an express or implied license or indemnity under the intellectual property rights of IBM or third parties. All information contained in this document was obtained in specific environments, and is presented as an illustration. The results obtained in other operating environments may vary. While the information contained herein is believed to be accurate, such information is preliminary, and should not be relied upon for accuracy or completeness, and no representations or warranties of accuracy or completeness are made. THE INFORMATION CONTAINED IN THIS DOCUMENT IS PROVIDED ON AN "AS IS" BASIS. In no event will IBM be liable for damages arising directly or indirectly from any use of the information contained in this document. IBM Microelectronics Division The IBM home page is http://www.ibm.com 1580 Route 52, Bldg. 504 The IBM Microelectronics Division home page is Hopewell Junction, NY 12533-6351 http://www.chips.ibm.com Special Notices - Copyrights