The linux kernel has two distinct ways of managing idle. The CPUidle framework for CPUs and for all other devices: runtime PM combined with generic power domains (genpd). In addition, CPUidle is not scaling well for multi-cluster SMP systems and heterogeneous systems like big.LITTLE. To better manage idle for modern SoCs with a hierarchical structure, we are exploring extending runtime PM and genpd to CPUs so there is a unified framework for managing idle across all devices.

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Announcement of the process to update the old specs and kernel documentation into a new Device Tree Specification

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Event Date: March 10, 2016

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Session discussion on various opensource applications on ODP and their implementations. Applications to be discussed include NGiNX, TRex, OFP

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Summary of B&B OpenEmbedded work and input from other groups/members.

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Big toolchain changes ahead... AOSP is moving towards clang based toolchains rather than gcc. Current AOSP master already builds completely with clang 3.8 by default. Kernels and some HAL layers for old devices remain on gcc for now. What is Linaro doing to help?

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Linaro is building an OpenStack based Developer Cloud. Here we present what was required to bring OpenStack to 64-bit ARM, the pitfalls, successes and lessons learnt; what’s missing and what’s next.

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This talk will provide an overview of typical Data Analysis tools and Machine Learning algorithms, highlighting the arithmetic and data operations that are executed with extreme repetition. Knowing what tools and libraries to use and having a sense of how they work will form the foundation for the next level of discussions around how to profile the use cases and narrow down the optimization techniques to target, including ARM® NEON™, OpenCL(GPU/DSP/other) etc. Python Pandas library was used for Data Analysis. Python sci-kit learn library was used to analyze various Supervised Machine Learning algorithms including K-Nearest Neighbors, Linear & Logistic Regression, Bayesian Classifiers, Decision Trees, Bagging and Random Forests.

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Developers only discussion on the implementation of PCI on ARM64

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This talk will highlight some of Machine learning features in Apache Spark ML and how it can be leveraged to do data mining and Predictive Analytics

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