EEDSP
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EEDSP
Digital Signal Processing, Data Analytics, Big Data, HPC, Deep Learning, GPGPU, Distributed and Parallel Computing
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High Performance Analytics with GPU Acceleration - Analytics Industry News

High Performance Analytics with GPU Acceleration - Analytics Industry News | EEDSP | Scoop.it
Historically we have heard a lot about CPU and in-memory computing. What exactly is GPU acceleration and why should analytics pros care about it?
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Inside Volta: The World’s Most Advanced Data Center GPU | Parallel Forall

Inside Volta: The World’s Most Advanced Data Center GPU | Parallel Forall | EEDSP | Scoop.it
NVIDIA Tesla V100 is the most advanced data center GPU ever built to accelerate AI, HPC, and Graphics. This post details the Volta GPU architecture.
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MapD Open Sources GPU-Powered Database

MapD Open Sources GPU-Powered Database | EEDSP | Scoop.it


MapD announced the MapD Core database to the open source community under the Apache 2 license, seeding a new generation of data applications.


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Caffe 2

NVIDIA and Facebook announced Caffe2. 

  

Cafe2: FA New Lightweight, Modular, and Scalable Deep Learning Framework

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A list of Desktop GPU architectures - StreamComputing

A list of Desktop GPU architectures - StreamComputing | EEDSP | Scoop.it

Some optimization tricks work really well on one architecture, and are useless on others. And even with better drivers, the older architectures need some help. In other words, it helps to know what architecture the GPU has. Therefore you get some help from your friends at StreamComputing.

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3 Steps to More Science

3 Steps to More Science | EEDSP | Scoop.it
Overview The rate of scientific discovery is speeding up every day with the use of advancing technologies like GPUs: scientific results are being published faster than ever before. This three-step tutorial is designed to show you how to take advantage of compilers and libraries to quickly accelerate your codes with GPUs so that you can spend more time on real breakthroughs. All the tools mentioned are freely available as part of the PGI Community Edition.  
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What is a GPU + Why Do I Care: A Businessperson Guide

What is a GPU + Why Do I Care: A Businessperson Guide | EEDSP | Scoop.it
A practical explanation of what GPUs are, how they differ from CPUs, what workloads are optimal for GPUs and what the economics look like for GPU computing.
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GPU Acceleration in Databricks

GPU Acceleration in Databricks | EEDSP | Scoop.it
With Spark deployments tuned for GPUs, plus pre-installed libraries and examples, Databricks offers a simple way to leverage GPUs to power image processing, text analysis, and other Machine Learning tasks.
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NVIDIA Docker: GPU Server Application Deployment Made Easy

NVIDIA Docker: GPU Server Application Deployment Made Easy | EEDSP | Scoop.it
Introduction to Docker containers and NVIDIA Docker plugin for easy deployment of GPU-accelerated applications such as deep learning frameworks on GPU servers
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R – GPU Programming for All with ‘gpuR’ – ParallelR

R – GPU Programming for All with ‘gpuR’ – ParallelR | EEDSP | Scoop.it
GPUs (Graphic Processing Units) have become much more popular in recent years for computationally intensive calculations. Despite these gains, the use of this hardware has been very limited in the R programming language. Although possible, the prospect of programming in either OpenCL or CUDA is difficult for many programmers unaccustomed to working with such a low-level interface. Creating bindings for R’s high-level programming that abstracts away the complex GPU code would make using GPUs far more accessible to R users.
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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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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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Distributed TensorFlow Has Arrived

Distributed TensorFlow Has Arrived | EEDSP | Scoop.it
By Matthew Mayo, KDnuggets. KDnuggets has taken seriously its role to keep up with the newest releases of major deep learning projects, and in the recent past we have seen landmark such releases from major technology giants and as well as...
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CUDA 9 Features Revealed: Volta, Cooperative Groups and More | Parallel Forall

CUDA 9 Features Revealed: Volta, Cooperative Groups and More | Parallel Forall | EEDSP | Scoop.it
The CUDA 9 release includes support for Volta GPUs, Cooperative Groups programming model extensions, faster libraries, and improved developer tools.
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NVIDIA Delivers New Deep Learning Software Tools for Developers | NVIDIA Blog

NVIDIA Delivers New Deep Learning Software Tools for Developers | NVIDIA Blog | EEDSP | Scoop.it
To help developers meet the growing complexity of deep learning, NVIDIA today announced better and faster tools for our software development community. This includes a significant update to the NVIDIA SDK, which includes software libraries and tools for developers building AI-powered applications. With each new generation of GPU architecture, we’ve continually improved the NVIDIA SDK. …
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Groq This: New AI Chips to Give GPUs a Run for Deep Learning Money

Groq This: New AI Chips to Give GPUs a Run for Deep Learning Money | EEDSP | Scoop.it
CPUs and GPUs, move over. Thanks to recent revelations surrounding Google’s new Tensor Processing Unit (TPU), the computing world appears to be on the cusp
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NVIDIA DGX-1: The Fastest Deep Learning System | Parallel Forall

NVIDIA DGX-1: The Fastest Deep Learning System | Parallel Forall | EEDSP | Scoop.it
NVIDIA DGX-1 is an integrated system for deep learning featuring eight Tesla P100 GPU accelerators connected through NVLink high-performance interconnect.
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Performance of Distributed Deep Learning using ChainerMN

Performance of Distributed Deep Learning using ChainerMN | EEDSP | Scoop.it
At Deep Learning Summit 2017 in San Francisco on this January, PFN announced advancements on distributed deep learning using Chainer in multi-node environment. In this post, I would like to explain the detail of the announcement
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Beyond GPU Memory Limits with Unified Memory on Pascal

Beyond GPU Memory Limits with Unified Memory on Pascal | EEDSP | Scoop.it
NVIDIA Pascal Unified Memory enables applications to run out-of-the-box with larger memory footprints and achieve great baseline performance.
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How many threads can run on a GPU? - StreamComputing

How many threads can run on a GPU? - StreamComputing | EEDSP | Scoop.it
Q: Say a GPU has 1000 cores, how many threads can efficiently run on a GPU? A: at a minimum aroun
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The Intersection of Large-Scale Graph Analytics and Deep Learning

The Intersection of Large-Scale Graph Analytics and Deep Learning | EEDSP | Scoop.it
FUNL applies GPU-Accelerated deep learning to large-scale graph problems in order to predict labels or find clusters much faster than possible with CPU-only
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NVIDIA Deep Learning Software Platform Updated with DIGITS, cuDNN, GIE | NVIDIA Blog

NVIDIA Deep Learning Software Platform Updated with DIGITS, cuDNN, GIE | NVIDIA Blog | EEDSP | Scoop.it
New updates to the NVIDIA Deep Learning SDK — DIGITS 4, cuDNN and GIE — help data scientists and developers make the most of the vast opportunities in deep learning.
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Massive Throughput Database Queries with LLVM on GPUs

Massive Throughput Database Queries with LLVM on GPUs | EEDSP | Scoop.it
This post can also be found on Nvidia's site. At MapD our goal is to build the world’s fastest big data analytics and visualization platform that enables lag-free interactive exploration of multi-billion row datasets. MapD supports standard SQL queries as well as a visualization API that maps OpenGL primitives
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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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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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