Google Introduces Low-Priced Preemptible GPUs for Their Customers
Google announces the beta release of Graphical Processing Units (GPUs) attached to Preemptible Virtual Machines (VMs) in their cloud Platform. Google Cloud Platform (GCP) customers can now attach NVIDIA K80 and NVIDIA P100 GPUs to Preemptible VMs for respectively 0.22 and 0.73 dollar cent per GPU hour, 50 percent cheaper than GPUs connected to on-demand instances.
Building GPU Accelerated Workflows with TensorFlow and Kubernetes
Daniel Whitenack spoke at the recent KubeCon + CloudNativeCon North America 2017 Conference about GPU based deep learning workflows using TensorFlow and Kubernetes technologies. He discussed the open source data pipeline framework Pachyderm.
Using C# to Target GPUs
The new Hybridizer technology provides C# developers with a way to target the CUDA platform and take advantage of GPUs for increased performance. Thanks to Hybridizer, developers are not forced to use C or C++ to write high-performance GPU code.
Jensen Huang Announces NVIDIA's New Projects at the GPU Technology Conference
Today the GPU Technology conference in Munich kicked off with a keynote by NVIDIA CEO Jensen Huang. NVIDIA announced the NVIDIA Holodeck, the Tensor RT 3 library, NVIDIA's Drive platform, and the Pegasus computer for autonomous taxis.
Q&A with Greg Kurtzer from the GPU Technology Conference
Rags Srinivas talks to Greg Kurtzer, a serial Open Source contributor at the GPU Tech Conference.
Apple Plans to Develop a Fully Custom GPU Architecture
Apple will develop its own custom graphics architecture to power the GPUs for its future devices, according to UK-based firm Imagination Technologies, Apple’s current GPU provider. The new GPUs should be ready in 15 months to two years' time and will be the first Apple-made GPUs that will bear no resemblance to Imagination Technologies’.
Apple Proposes a New 3D Graphics Standard Called WebGPU
Apple has proposed a new GPU API for the browser, called WebGPU. Google has another solution called NXT in the development.
Nvidia Introduces cuDNN, a CUDA-based library for Deep Neural Networks
Nvidia earlier this month released cuDNN, a set of optimized low-level primitives to boost the processing speed of deep neural networks (DNN) on CUDA compatible GPUs. The company intends to help developers harness the power of graphics processing units for deep learning applications.
Hadoop Jobs on GPU with ParallelX
The MapReduce paradigm is not always ideal when dealing with large computationally intensive algorithms. A small team of entrepreneurs is building a product called ParallelX to solve that bottleneck by harnessing the power of GPUs to give Hadoop jobs a significant boost.
Amazon re:invent roundup
Amazon announced a number of new services at the recent re:invent conference in Las Vegas: Amazon WorkSpaces - Desktop Computing in the Cloud, Identity and Access Management using SAML, Amazon AppStream - Delivering Streaming Applications from the Cloud, Amazon Kinesis - Streaming Big Data, CloudTrail - Capturing AWS API Activity, Postgres support in RDS and new EC2 instance types
Harlan with Support for Rich Data Structures, Trees, Ragged Arrays and Higher Order Procedures
Harlan programming language developed by Eric Holk, a doctoral student at Indiana University provides support for rich data structures, trees and ragged arrays in addition to higher order procedures.
GPU.NET 2.0 Brings HPC to Linux and Mac
GPU.NET 2.0 supports Mono, enabling building and deploying computational intensive applications for Linux and Mac OS X along the already supported Windows.
WebCL Brings Parallelism to the Browser
WebCL brings parallelism support to the browser, enabling JavaScript developers to write data intensive web applications. Nokia has a prototype for Firefox while Samsung has one for WebKit browsers.
Moonlight Playbacks Video Directly on GPU
Moonlight has been enhanced to support GPU-accelerated video playback. Silverlight 5 will do the same, but with extra features.
Moonlight 4.0 Preview 1 Has Been Released
Moonlight 4.0 Preview 1 includes all the Silverlight 3.0 API and a part of Silverlight 4.0 API. New features include: Out-of-Browser, GPU-accelerated graphics, 3D transformation, shaders, V4L2 video capture, H.264 and AAC, and better smooth streaming.
