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Parallel Forall | devblogs.nvidia.com Reviews
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The Massively Parallel Programming Blog from NVIDIA
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cuda zone menu,getting started,downloads,training,ecosystem,search cuda zone,register now,main menu,features,cudacasts,cuda pro tips,cuda spotlights,share,posted on,allison gray,no comments,tagged,computer vision,deep learning,ilsvrc,imagenet,cloud,cuda c
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Parallel Forall | devblogs.nvidia.com Reviews

https://devblogs.nvidia.com

The Massively Parallel Programming Blog from NVIDIA

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developer.nvidia.com developer.nvidia.com

NVIDIA cuDNN | NVIDIA Developer

https://developer.nvidia.com/cuDNN

Skip to main content. GPU Accelerated Deep Learning. The NVIDIA CUDA Deep Neural Network library (cuDNN) is a GPU-accelerated library of primitives for deep neural networks. CuDNN provides highly tuned implementations for standard routines such as forward and backward convolution, pooling, normalization, and activation layers. cuDNN is part of the NVIDIA Deep Learning SDK. CuDNN is freely available to members of the Accelerated Computing Developer Program. What’s New in cuDNN 5. CuDNN 4 K40 vs. cuDNN...

developer.nvidia.com developer.nvidia.com

CUDA Zone | NVIDIA Developer

https://developer.nvidia.com/cuda-zone

Skip to main content. 11 TFLOPS of Computing Performance. ACCELERATE YOUR AI STARTUP. INTRODUCING NVIDIA CUDA 8. Release Candidate Available Now. THE WORLD'S FIRST DEEP LEARNING. SUPERCOMPUTER IN A BOX. All about the NVIDIA CUDA parallel computing platform. First steps for getting started in parallel computing. From accelerated cloud appliances to profiling tools, a gold mine of information. Learn more about accelerated computing. Get the latest accelerated computing downloads. Research - Aug 19 2016.

eklausmeier.wordpress.com eklausmeier.wordpress.com

AMD Bulldozer CPU Architecture Overview – Elmar Klausmeier's Weblog

https://eklausmeier.wordpress.com/2013/10/06/amd-bulldozer-cpu-architecture-overview

Elmar Klausmeier's Weblog. October 6, 2013. AMD Bulldozer CPU Architecture Overview. At the chip level, 8 cores per CPU:. Unfortunately I didn’t find opcode clock cycles on AMD’s website. AMD’s website seems to be almost unmaintained, i.e., lots of dead links. Below are some clock cycles gathered through experiment by Agner Fog. I took the values measured for Bulldozer in Instruction Tables. Due to out-of-order execution. Timings may vary in actual programs. This entry was posted in CPU. Notify me of new...

andreask.cs.illinois.edu andreask.cs.illinois.edu

Andreas Klöckner's web page

https://andreask.cs.illinois.edu/index.html

Andreas Klöckner's web page. Nvidia Highlights PyCUDA/PyOpenCL Applications. Nvidia’s Parallel Forall blog. Recently highlighted two applications that are using my Python. To accelerate their computational science workloads:. Increasing the Luminosity of Beam Dynamics with GPUs. A writeup of Adrian Oeftiger. 8216;s work on CERN. Open, Reproducible Computational Chemistry with Python and CUDA . Tutorial: Domain Specific Languages and Code Generation in Python. Specifically, the material . To teach (more g...

developer.nvidia.com developer.nvidia.com

DesignWorks | NVIDIA Developer

https://developer.nvidia.com/professional-graphics

Skip to main content. What's New in DesignWorks. Find out what's new in NVIDIA DesignWorks! DesignWorks products are specifically designed for developers creating professional. Graphics and advanced rendering applications. Discover what's new in DesignWorks. Iray SDK 2016.2. Building on NVIDIA Iray SDK 2016.1’s introduction of industry standard lenses. And spherical lenses and stereo for VR panoramas, the latest release (2016.2). Continues to push VR to the next level. Learn more about Iray SDK. Get acce...

kmmankad.github.io kmmankad.github.io

So You Want to CUDA? - Curious Explorations

http://kmmankad.github.io/blog/2016/02/29/so-you-want-to-cuda

A hardware/software hacker's (b)log. So You Want to CUDA? This is a post about various available resources, and how you could go about becoming a real CUDA pro. This post isn’t about convincing you about why you should definitely learn CUDA - I’ll leave that to the voices in and around your head. To start out, I would highly recommend going through the free MOOC from Udacity - Intro to Parallel Programming. You can do this without any special hardware - its all in the cloud! I almost forgot to mention th...

eklausmeier.wordpress.com eklausmeier.wordpress.com

Arnold Heinrich Klausmeier – Elmar Klausmeier's Weblog

https://eklausmeier.wordpress.com/2017/01/01/arnold-heinrich-klausmeier

Elmar Klausmeier's Weblog. January 1, 2017. On 16-Dec-2016 my father died after a long and suffering disease. Born on 28-Nov-1934, he witnessed World-War-II, 1939-1945, separation of Germany, Suez Crisis, 1956, Cuban Missile Crisis, 1962, Vietnam War, Chinese Cultural Revolution, 1966-1976, but also the German reunification, and the Euro. As requested by my father we four children each held a funeral eulogy. Two of the nine grandchildren:. Standing in Commerzbank tower in Frankfurt:. Top Posts and Pages.

eklausmeier.wordpress.com eklausmeier.wordpress.com

What is generally better: 64-bit or 32-bit? – Elmar Klausmeier's Weblog

https://eklausmeier.wordpress.com/2013/12/21/what-is-generally-better-64-bit-or-32-bit

Elmar Klausmeier's Weblog. December 21, 2013. What is generally better: 64-bit or 32-bit? I was just asked this question and referred to Phoronix: Ubuntu 12.04 LTS: 32-bit vs. 64-bit Performance. Is this excellent web-site run by Michael Larabel. Below is a chart from 2012. Not all charts look this astonishing! This was also true in 2006, see below compilation times. See also Agner Fog: Optimizing software in C. Some key facts from Agner. Added 11-Mar-2016: 64-bit can be more power efficient, see phoroni...

developer.nvidia.com developer.nvidia.com

CUDA Zone | NVIDIA Developer

https://developer.nvidia.com/category/zone/cuda-zone

Skip to main content. 11 TFLOPS of Computing Performance. ACCELERATE YOUR AI STARTUP. INTRODUCING NVIDIA CUDA 8. Release Candidate Available Now. THE WORLD'S FIRST DEEP LEARNING. SUPERCOMPUTER IN A BOX. All about the NVIDIA CUDA parallel computing platform. First steps for getting started in parallel computing. From accelerated cloud appliances to profiling tools, a gold mine of information. Learn more about accelerated computing. Get the latest accelerated computing downloads. News - Aug 16 2016. Resear...

developer.nvidia.com developer.nvidia.com

Maxwell Architecture | NVIDIA Developer

https://developer.nvidia.com/maxwell-compute-architecture

Skip to main content. Maxwell is NVIDIAs next-generation architecture for CUDA compute applications. Maxwell introduces an all-new design for the Streaming Multiprocessor (SM) that dramatically improves energy efficiency. Improvements to control logic partitioning, workload balancing, clock-gating granularity, compiler-based scheduling, number of instructions issued per clock cycle, and many other enhancements allow the Maxwell SM (also called SMM) to far exceed Kepler SMX efficiency. GeForce GTX TITAN X.

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Parallel Forall

Skip to primary content. Skip to secondary content. NVIDIA and IBM Cloud Support ImageNet Large Scale Visual Recognition Challenge. August 13, 2015. This year’s ImageNet Large Scale Visual Recognition Challenge (ILSVRC). Figure 1. Examples of ImageNet. Images demonstrating classification with localization. Labellio: Scalable Cloud Architecture for Efficient Multi-GPU Deep Learning. August 10, 2015. Is the world’s easiest deep learning. Labellio helps users build and manage multiple classification models&...

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