Thursday, March 23, 2017
IRQ based next event prediction
Team: Power Management
Boot-time tracing is one of the latest Linux kernel tracing proposal, which allows us to trace kernel booting with full tracing features, like per-event filters and triggers, histograms, instances, dynamic-events etc. Along with the boot-time tracing the kernel command-line interface is also expanded by Extra Boot Config (XBC) so that user can specify complex boot-time settings with structured-key value configuration file.This talk will show you what the boot-time tracing and the extra boot config provide, the advantages and how you can use it for your boot-time features.
Each seismic survey in Oil & Gas exploration generates tons of seismic wave data, typically hundreds of Terabytes. Transforming the huge amount of data into a accurate earth subsurface model requires exascale level computing power. This presentation will analyze the computing requirements and trends in seismic data processing, evaluate the competence of the current generations ARM64 SoCs and the new features required.
Slack channel to chat with the speaker during the live broadcast: https://linaroconnect.slack.com/archives/C01B1SV18F5Currently, one big gap between Arm64 and X86 cloud platforms is that X86 can provide a much better instance migration experience than the Arm64 platform. CPU comparison and CPU model capabilities have provided Arm64 VM with the ability to live migration among different hardware vendors. This function is the essential function of the data center. From the cloud management framework, we also need to consider the realization of supporting VM live migration.In this session, we will talk about what we have done in the most widely used virtualization management tool - Libvirt to provide better live migration capabilities on Arm64 platform and also some details in the newest lightweight cloud management project such as Kubevirt.With live migration support on Arm64, it can finally benefit the cloud ecosystem for large scale datacenter scenarios which may use different Arm64 CPU architectures and vendors.
From being called the 'new gold / oil', Big data technologies from its peak hype cycle have now matured as quintessential technology that powers many of today’s businesses and enterprises. Most companies have changed themselves from being data-generating to data-powered, making use of actionable data and business insights. Big data is not just one piece of technology (Hadoop or Spark), rather it is a huge ecosystem, an assembly line of technologies and processes. There has been an increase in focus on data science and machine learning as a logical next step of evolution of Big Data. Data Strategy governs the quality of the data which acts as a precursor to data science and machine learning.
In this talk, we will look at where ARM stands in regards to having big data systems running in production. We will look at various achievements in the last few years and also understand where we stand currently in the process of making ARM as the first class citizen. We will also cover some of the pain points we have faced and what is important to work on in the near future and beyond.
Please join if you would like to know the status of Linaro’s BDDS team and its roadmap.
Session ID: SFO17-409 Session Name: TSC BoF: OSS Toolchain Discussion - SFO17-409 Speaker: Ryan Arnold Track: Toolchain ★ Session Summary ★ Discussion on the various OSS Tools efforts in Linaro....
https://www.youtube.com/watch?v=iXFSCvjDmzo
As members of the Autoware foundation it is Linaro’s hope to make improvements to Autoware’s code base, promote Automotive applications running on the ARM ecosystem, and foster the open source community while also providing good code support, practice, and standards. In this session we will talk about the difference between Autoware.ai and Autoware.Auto and the transition from ROS1 to ROS2 for Real Time applications. We will also mention Linaro’s efforts to make improvements to Autoware’s code and provide unit tests for the various Autoware modules. Finally we will talk about our efforts of getting Autoware running efficiently on ARM platforms.
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