Vladimir ’mend0za’ Shakhov — Linux firmware for iRMC controller on Fujitsu Primergy servers

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The progress in the industrial automation, automotive, biomedical and avionic sectors requires the use of safety network protocols that in some cases have to satisfy real time constrains. In this talk we will discuss about facing the major issues of the network, which tools to use to test and analyze the protocol and we will understand the usefulness of integrating PTP and PRP modules in our communication.

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LAS16-400K2: TianoCore – Open Source UEFI Community Update Speakers: Brian Richardson Date: September 29, 2016 ★ Session Description ★ Title: TianoCore – Open Source UEFI Community Update The TianoCore project hosts EDK II, an open source implementation of the Unified Extensible Firmware Interface (UEFI). EDK II has become the defacto UEFI implementation for ARM and Intel platforms, expanding standards based firmware across multiple architectures. This keynote will provide an update on the current status of the TianoCore project, plans for future improvements, and a discussion of why firmware is critical in today’s digital ecosystem. Bio Brian Richardson is an Intel technical evangelist who has spent most of his career as a “BIOS guy” working on the firmware that quietly boots billions of computers. Brian has focused on the industry transition to the Unified Extensible Firmware Interface (UEFI), demystifying how firmware works and simplifying firmware development tools. Brian has presented at LinuxCon, UEFI Plugfests, and Intel Developer Forum. He is a blogger for the Intel Software Evangelists project, former writer forlinux.com, and (apropos of nothing) executive producer for DragonConTV. ★ Resources ★ Watch the video: https://www.youtube.com/watch?v=kQ5X8vqdSu0 Etherpad: pad.linaro.org/p/las16-400k2 Presentations & Videos: http://connect.linaro.org/resource/las16/las16-400k2/ ★ Event Details ★ Linaro Connect Las Vegas 2016 – #LAS16 September 26-30, 2016 http://www.linaro.org http://connect.linaro.org

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Running Linux on an embedded node in the automotive environment adds a number of new challenges that have to be addressed. One of the problems we have been working on is start-up times. We have trimmed the start-up time of the Linux kernel in less than 0.2 seconds on low end hardware. This presentation will look into and discuss some of the trade-offs we did to get the system starting up quicker on a limited hardware. In an automotive environment many systems have to have there communication up within factions of a second, as the car get more complex more CPU power is needed in many different places. Traditional automotive solutions have been using two CPU’s on each node one small quick starting to handle the communication and one for the applications. If only one CPU can get the main applications starting quick enough that can make the hardware both simpler and cheaper. About Mecel Mecel is a systems and software development company with more than 25 years of experience in developing solutions for the automotive industry. We specialize in in-car communication technologies, user interface development and consumer device interaction.

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Integrated Remote Management Controller aka iRMC (http://manuals.ts.fujitsu.com/file/11470/irmc-s4-ug-en.pdf) is a special-purpose ARM board, included in every Fujitsu Primergy server and actually running on GNU/Linux. Digging into the process of creation of iRMC firmware, significantly based on FOSS components, including Linux kernel, busybox, glibc, net-snmp and many others. Lecture covering technical details how its working, how to use OpenSource components together with propiertary code.

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Embedded video tends to be an increasing subject in embedded Linux developments. Even if ARM SOCs provide great resources for video treatment with dedicated IPU, GPU …, a dual approach based on FPGA + general purpose processor is an interesting alternative. In this presentation Christian Charreyre will provide a return of experience of a video acquisition and treatment application developed on a Zynq board, with focus on interactions between the FPGA part and Linux. The presentation will also describe the embedded Linux development choices, based on standard meta-xilinx Yocto layer instead of current solutions using PetaLinux or WindRiver Pulsar. The typical audience is people interested in embedded Linux solutions using a mixed architecture between a general purpose processor and a specialized co-processor. Attendees will receive informations on the relationships between the Linux environment and the FPGA about hardware description, boot mechanism, necessary customizations of Yocto recipes, and much more. Christian Charreyre, CIO Systèmes Embarqués

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In this deck from IWOCL / SYCLcon 2020, Hal Finkel from Argonne National Laboratory presents: Preparing to program Aurora at Exascale - Early experiences and future directions. "Argonne National Laboratory’s Leadership Computing Facility will be home to Aurora, our first exascale supercomputer. Aurora promises to take scientific computing to a whole new level, and scientists and engineers from many different fields will take advantage of Aurora’s unprecedented computational capabilities to push the boundaries of human knowledge. In addition, Aurora’s support for advanced machine-learning and big-data computations will enable scientific workflows incorporating these techniques along with traditional HPC algorithms. Programming the state-of-the-art hardware in Aurora will be accomplished using state-of-the-art programming models. Some of these models, such as OpenMP, are long-established in the HPC ecosystem. Other models, such as Intel’s oneAPI, based on SYCL, are relatively-new models constructed with the benefit of significant experience. Many applications will not use these models directly, but rather, will use C++ abstraction libraries such as Kokkos or RAJA. Python will also be a common entry point to high-performance capabilities. As we look toward the future, features in the C++ standard itself will become increasingly relevant for accessing the extreme parallelism of exascale platforms. This presentation will summarize the experiences of our team as we prepare for Aurora, exploring how to port applications to Aurora’s architecture and programming models, and distilling the challenges and best practices we’ve developed to date. oneAPI/SYCL and OpenMP are both critical models in these efforts, and while the ecosystem for Aurora has yet to mature, we’ve already had a great deal of success. Importantly, we are not passive recipients of programming models developed by others. Our team works not only with vendor-provided compilers and tools, but also develops improved open-source LLVM-based technologies that feed both open-source and vendor-provided capabilities. In addition, we actively participate in the standardization of OpenMP, SYCL, and C++. To conclude, I’ll share our thoughts on how these models can best develop in the future to support exascale-class systems." Watch the video: https://wp.me/p3RLHQ-lPT Learn more: https://www.iwocl.org/iwocl-2020/conference-program/ and https://www.anl.gov/topic/aurora Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter

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The presentation explores the development and application of artificial intelligence (AI) from its inception to its current status in the modern world. The term "artificial intelligence" was first coined by John McCarthy in 1956 to describe efforts to develop computer programs capable of performing tasks that typically require human intelligence. This concept was first introduced at a conference held at Dartmouth College, where programs demonstrated capabilities such as playing chess, proving theorems, and interpreting texts. In the early stages, Alan Turing contributed to the field by defining intelligence as the ability of a being to respond to certain questions intelligently, proposing what is now known as the Turing Test to evaluate the presence of intelligent behavior in machines. As the decades progressed, AI evolved significantly. The 1980s focused on machine learning, teaching computers to learn from data, leading to the development of models that could improve their performance based on their experiences. The 1990s and 2000s saw further advances in algorithms and computational power, which allowed for more sophisticated data analysis techniques, including data mining. By the 2010s, the proliferation of big data and the refinement of deep learning techniques enabled AI to become mainstream. Notable milestones included the success of Google's AlphaGo and advancements in autonomous vehicles by companies like Tesla and Waymo. A major theme of the presentation is the application of generative AI, which has been used for tasks such as natural language text generation, translation, and question answering. Generative AI uses large datasets to train models that can then produce new, coherent pieces of text or other media. The presentation also discusses the ethical implications and the need for regulation in AI, highlighting issues such as privacy, bias, and the potential for misuse. These concerns have prompted calls for comprehensive regulations to ensure the safe and equitable use of AI technologies. Artificial intelligence has also played a significant role in healthcare, particularly highlighted during the COVID-19 pandemic, where it was used in drug discovery, vaccine development, and analyzing the spread of the virus. The capabilities of AI in healthcare are vast, ranging from medical diagnostics to personalized medicine, demonstrating the technology's potential to revolutionize fields beyond just technical or consumer applications. In conclusion, AI continues to be a rapidly evolving field with significant implications for various aspects of society. The development from theoretical concepts to real-world applications illustrates both the potential benefits and the challenges that come with integrating advanced technologies into everyday life. The ongoing discussion about AI ethics and regulation underscores the importance of managing these technologies responsibly to maximize their their benefits while minimizing potential harms.

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