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The Best Open Data Releases of 2012

The Best Open Data Releases of 2012 | EEDSP | Scoop.it
Our annual look at the extensive information now available from city governments, and the tools people are building with it.
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EEDSP
Digital Signal Processing, Data Analytics, Big Data, HPC, Deep Learning, GPGPU, Distributed and Parallel Computing
Curated by Shiwon Cho
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The rise of NoSQL databases

The rise of NoSQL databases | EEDSP | Scoop.it
Although NoSQL database (DB) technology has been around since the 1960s, not until the advent of Web 2.0, when companies such as Google and Amazon began using the technology, did NoSQL’s popularity really take off. The following Google Trends data visualization clearly shows a surge in NoSQL’s popularity beginning around 2010. Indeed, the technology’s longevity and its usefulness within the big data ecosystem make any time a good time to begin your journey with NoSQL. Keep reading for a brief overview of NoSQL that will introduce you to the core features that continue to make this useful technology so popular.
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Rancher Labs Release Rancher 1.0, An Open Source Cross-Cloud Container Management Platform

Rancher Labs Release Rancher 1.0, An Open Source Cross-Cloud Container Management Platform | EEDSP | Scoop.it
Rancher Labs have released version 1.0 of their open source Rancher container management platform, which allows the deployment of Docker containers via Docker Swarm, Kubernetes or Rancher Labs’ Cattle. Rancher manages the underlying compute fabric, and can be deployed across a combination of multiple public cloud vendors, private virtualised clouds and bare metal.
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Optimizing Recurrent Neural Networks in cuDNN 5

Optimizing Recurrent Neural Networks in cuDNN 5 | EEDSP | Scoop.it
Details of cuDNN 5 optimizations for recurrent neural networks, along with information on the latest release of the GPU-accelerated deep neural network library
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Pelikan Cache

Pelikan is a framework for building cache services. It is part of Twitter's unified cache project.
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FreeBSD 10.3-RELEASE Release Notes

FreeBSD 10.3-RELEASE Release Notes | EEDSP | Scoop.it
The release notes for FreeBSD 10.3-RELEASE contain a summary of the changes made to the FreeBSD base system on the 10.3-STABLE development line. This document lists applicable security advisories that were issued since the last release, as well as significant changes to the FreeBSD kernel and userland. Some brief remarks on upgrading are also presented.
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10M - goroutines

The C10M Problem is about how on a modern server, you should be able to easily handle 10M concurrent connections with solid throughput and low jitter. Handling that level of traffic generally requires a more specialized approach than is offered by a stock Linux kernel.
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Stack Overflow Developer Survey 2016 Results

Stack Overflow Developer Survey 2016 Results | EEDSP | Scoop.it

This year, over fifty thousand developers shared where they work, what they build, and who they are. You are about to read the results of the most comprehensive developer survey ever conducted.

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CoreOS

CoreOS | EEDSP | Scoop.it
CoreOS creates and maintains open source projects for Linux Containers.
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How to run OpenTSDB with Google Bigtable | Official Pythian® Blog

How to store and process time series data in the cloud using OpenTSDB with Google Bigtable backend.
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Get the New Parallel Universe Magazine: How to Boost C++ Performance | Intel® Developer Zone

Get the New Parallel Universe Magazine: How to Boost C++ Performance | Intel® Developer Zone | EEDSP | Scoop.it
Parallel Universe is Intel's quarterly magazine that explores inroads and innovations in software development. The new issue shows you how to improve productivity and boost C++ performance―plus lots more.
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10 big changes with search engines over my 20 years of covering them

10 big changes with search engines over my 20 years of covering them | EEDSP | Scoop.it
Search Engine Land founding editor Danny Sullivan looks at how search has changed over the two decades he's been writing about it.
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Deep Learning

The Deep Learning textbook is a resource intended to help students and practitioners enter the field of machine learning in general and deep learning in particular. The online version of the book is now complete and will remain available online for free.
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gpucc: an open-source GPGPU compiler

gpucc: an open-source GPGPU compiler | EEDSP | Scoop.it
gpucc: an open-source GPGPU compiler | Jingyue Wu, Artem Belevich, Eli Bendersky, Mark Heffernan, Chris Leary, Jacques Pienaar, Bjarke Roune, Rob Springer, Xuetian Weng, Robert Hundt | Code generation, Compilers, Computer science, CUDA, LLVM, nVidia, Presentation, Tesla K40
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Understanding Natural Language with Deep Neural Networks Using Torch

Understanding Natural Language with Deep Neural Networks Using Torch | EEDSP | Scoop.it
This post discusses research on using GPU-accelerated Deep Neural Networks with the Torch framework and the cuDNN library for Natural Language Processing.
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Inside Pascal: NVIDIA’s Newest Computing Platform

Inside Pascal: NVIDIA’s Newest Computing Platform | EEDSP | Scoop.it
A deep dive into the new Tesla P100 accelerator and the Pascal GP100 GPU architecture, covering NVLink, HBM2 memory, and Unified Memory.
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Baidu research chief Andrew Ng fixed on self-taught computers, self-driving cars

Baidu research chief Andrew Ng fixed on self-taught computers, self-driving cars | EEDSP | Scoop.it
Artificial intelligence whiz Andrew Ng hangs his hat these days at a nondescript building in Sunnyvale that serves as the Silicon Valley outpost of the Chinese search giant Baidu.
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Machine Learning in the Cloud, with TensorFlow

Machine Learning in the Cloud, with TensorFlow | EEDSP | Scoop.it
At Google, researchers collaborate closely with product teams, applying the latest advances in Machine Learning to existing products and services - such as speech recognition in the Google app, search in Google Photos and the Smart Reply feature in Inbox by Gmail - in order to make them more useful. A growing number of Google products are using TensorFlow, our open source Machine Learning system, to tackle ML challenges and we would like to enable others do the same. Today, at GCP NEXT 2016, we announced the alpha release of Cloud Machine Learning, a framework for building and training custom models to be used in intelligent applications.
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Python, Machine Learning, and Language Wars

Python, Machine Learning, and Language Wars | EEDSP | Scoop.it
This is the personal website of a data scientist and machine learning enthusiast with a big passion for Python and open source. Born and raised in Germany, now living in East Lansing, Michigan.
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Dragon: A distributed graph query engine

Dragon: A distributed graph query engine | EEDSP | Scoop.it

Dragon, a distributed graph query engine, is the next step in our evolution toward efficient query plans for more complex queries. 

Dragon monitors real-time updates to the social graph modeled as objects and associations and creates several different types of indices that improve the efficiency of fetching, filtering, and reordering the data. With Dragon, far less data is transferred over the network to the web tier, improving latency and freeing up CPU for other computation.Dragon monitors real-time updates to the social graph and creates several different types of indices that improve the efficiency of fetching, filtering, and reordering the data.

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Deep Learning in a Nutshell: Sequence Learning

Deep Learning in a Nutshell: Sequence Learning | EEDSP | Scoop.it
This series of blog posts aims to provide an intuitive and gentle introduction to deep learning that does not rely heavily on math or theoretical constructs.
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Jeff Dean on Large-Scale Deep Learning at Google - High Scalability -

Jeff Dean on Large-Scale Deep Learning at Google - High Scalability - | EEDSP | Scoop.it

This quote is from Jeff Dean, currently a Wizard, er, Fellow in Google’s Systems Infrastructure Group. It’s taken from his recent talk: Large-Scale Deep Learning for Intelligent Computer Systems.

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