Fujitsu Doubles Deep Learning Neural Network Scale with Technology to Improve GPU Memory Efficiency. KAWASAKI, Japan, Sep, 21 2016 - (JCN Newswire) - Fujitsu Laboratories Ltd. today announced development of technology to streamline the internal memory of GPUs to support the growing neural network scale that works to heighten machine learning accuracy.
This development has enabled neural network machine learning of a scale up to twice what was capable with previous technology. Recent years have seen a focus on technologies that use GPUs for high-speed machine learning to support the huge volume of calculations necessary for deep learning processing. In order to make use of a GPU's high-speed calculation ability, the data to be used in a series of calculations needs to be stored in the GPU's internal memory. This, however, creates an issue where the scale of the neural network that could be built is limited by memory capacity. Development Background In recent years, deep learning has been gaining attention as a machine learning method that emulates the structure of the human brain.
Issues. What is fog computing (fog networking, fogging)? - Definition from WhatIs.com. Fog computing, also known as fog networking or fogging, is a decentralized computing infrastructure in which data, compute, storage and applications are distributed in the most logical, efficient place between the data source and the cloud.
The goal of fogging is to improve efficiency and reduce the amount of data transported to the cloud for processing, analysis and storage. How fog computing works Fog computing versus edge computing Fog computing and the internet of things. With IT Operations Analytics, Data Is Everything. DevOps.
Machine learning. Faster decision making. The biggest trends in IT are helping us speed release cycles, get more insights, and improve operations like never before. CTO Blog. This is my second CTO blog on VMware and the Internet of Things (‘IoT’).
I’ll begin by covering our overall IoT strategy, beginning with the Little IoT Agent (‘Liota’). I’ll briefly review my first blog, Motivating the Three-Tier Architecture. Many believe that a three-tier architecture will dominate the emerging IoT infrastructure: sensors and actuators (let’s refer to these as ‘devices’ for this post); local systems, that have come to be known as IoT gateways; and data-centers (a catch-all term for public clouds, private clouds, and private data centers).
An interesting characteristic of IoT gateways (as opposed to e.g., WiFi routers) is that the communications connection between a sensor/actuator and a data-center de-couples at the IoT gateway (let’s now refer to them as ‘gateways’ for convenience). These facets of gateways, I argue in my first blog, support the idea that much of the emerging IoT infrastructure will be three-tier. Forbes Welcome. What is fog computing (fog networking)? - Definition from WhatIs.com.
@CloudExpo #BigData #IoT #M2M #DigitalTransformation. I love EMC World (though I can't say the same about Las Vega$).
I get an opportunity to talk to customers who are at the dirty and grimy frontline of trying to derive value from all of this Big Data hoopla. They teach me tons! One theme that came up several times in our conversations was the following: "I can't get the Business to engage in an envisioning type of engagement. We have lost their trust. This is a huge problem. So what can IT do to build trust with the Business? Let's review some simple but actionable recommendations. HP Removes Memristors from Its 'Machine' Roadmap Until Further Notice. Three Cloud Terrors to Watch Out For - Cloud Technology Partners. EMC - Get Started with ECS Test Drive. Is building a container runtime, Rocket. Try it out: View the latest rkt docs or sample systemd units. rkt is a new container runtime, designed for composability, security, and speed.
Today we are releasing a prototype version on GitHub to begin gathering feedback from our community and explain why we are building rkt. Why we are building rkt When we started building CoreOS, we looked at all the various components available to us, re-using the best tools, and building the ones that did not exist. We believe strongly in the Unix philosophy: tools should be independently useful, but have clean integration points. When Docker was first introduced to us in early 2013, the idea of a “standard container” was striking and immediately attractive: a simple component, a composable unit, that could be used in a variety of systems. What is coreos. Cloud Foundry. Ian Huston and Alexander Kagoshima of Pivotal Labs delivered a presentation at the Cloud Foundry Summit 2015 demonstrating how they have used Cloud Foundry to deliver data-driven applications to clients.
Data scientists synthesize a wide range of skills in their efforts to understand complex data sets and deliver insights, and Cloud Foundry enables practitioners to quickly get to work, rather than losing time setting up servers or performing operations tasks. During their talk, the pair detailed the ways that Cloud Foundry can simplify data science workflows and deliver insights to users. Docker on Diego, Cloud Foundry's New Elastic Runtime. Cloud Foundry has a new elastic runtime, written in Go and now with support for Docker as part of Diego, a new orchestration manager that distributes tasks and application processes.
Diego serves as an app execution, container-based pluggable scheduler and health check manager, said Andrew Shafer, senior director of technology at Pivotal. IBM, SAP and Cloud Credo are also helping develop the open source project. The project is open to anyone. See more on Github. Introducing The Mesosphere Datacenter Operating System. What is mesos software. What is flocker software. What is vagrant software.