WELCOME TO NVIDIA ASIA PACIFIC TECHNOLOGY OFFICE NEWSLETTER |
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Visual Computing news and technical resources for the developers, researchers, and technologists in APAC
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IN THIS ISSUE |
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HIGHLIGHTS |
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REGISTER NOW FOR GPU TECHNOLOGY CONFERENCE 2015 – LIMITED TIME 20% DISCOUNT OFFER |
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U.S. SELECTS NVIDIA TO BUILD FASTEST SUPERCOMPUTERS |
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NEWS & UPDATES |
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NVIDIA unveils world’s fastest accelerator for data analytics and scientific computing |
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VMware and NVIDIA preview NVIDIA GRID vGPU technology in APAC |
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Kitware Works with NVIDIA to Drive Massive Acceleration in HPC Visualization |
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Amber 14 NVIDIA GPU acceleration support |
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RESEARCH SPOTLIGHT |
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National University of Singapore (NUS) taps GPUs to win ImageNet Deep Learning Challenge |
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Underwater acoustic images and videos in real-time by NUS Tropical Marine Science Institute-Acoustic Research Lab (ARL) |
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MIMOS Accelerated SQL processing optimizes ESRI ArcGIS |
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INDUSTRY EVENTS AND CONFERENCES |
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Supercomputing Conference 2014 (SC14) |
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On Tour: NVIDIA GRID at VMware vForums Across Asia |
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[Chinese] CUDA Poster Contest in Taiwan |
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HiPC |
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PARALLEL FORALL BLOG |
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HIGHLIGHTS |
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REGISTER NOW FOR GPU TECHNOLOGY CONFERENCE 2015 – LIMITED TIME 20% DISCOUNT OFFER |
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MARCH 17-20 IN SILICON VALLEY
Registration is now open for the 2015 GPU Technology Conference (GTC), scheduled for March 17-20, 2015 at the San Jose Convention Center.
At the epicenter of visual computing, GTC is the world’s largest and most important event for GPU developers and the ecosystem. Connect with experts from NVIDIA and other organizations across a wide range of fields, discover what’s next, and gain insight in the 400+ sessions and hands-on labs.
Register now using promo code NVE15373662BKDH for 20% off of your conference pass.
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U.S. SELECTS NVIDIA TO BUILD FASTEST SUPERCOMPUTERS |
The U.S. Department of Energy unveiled plans to build two GPU-accelerated supercomputers.
These Tesla GPU-accelerated systems are expected to deliver 150-300 peak petaflops – making them 3-6X faster than today’s most powerful systems.
Read the NVIDIA White Paper on CORAL for technical details.
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RESEARCH SPOTLIGHT |
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National University of Singapore (NUS) taps GPUs to win ImageNet Deep Learning Challenge |
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NUS team is the winner in Large Scale Visual Recognition Challenge 2014 with their "Network in Network" and "Deeper network in network". Learn how GPUs helped his team secure one of four winning spots. Watch the video
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Underwater acoustic images and videos in real-time by NUS Tropical Marine Science Institute-Acoustic Research Lab (ARL) |
Remotely Operated Mobile Ambient Noise Imaging System (ROMANIS) is a 2D acoustic camera built by the Acoustic Research Laboratory of the National University of Singapore for imaging underwater objects. Sampling at 200 kHz per channel and with more than 500 channels this system spits out data at an astonishing rate of 1.6 Gbps. Complex, yet innovative beamforming and image processing algorithms operating under CUDA-capable GPU environment, have helped to produce acoustic images and videos from this camera in near real-time.
Learn More >>
MIMOS Accelerated SQL processing optimizes ESRI ArcGIS
MIMOS Accelerated SQL Processing Engine (GalacticaDB) has speed up 70 million data point for ArcGIS in 8 seconds compared to Spark with 155 seconds. This work is part of MIMOS and ESRI MOU signing and focuses on data extraction and GPS coordinate computation, widely used in government and security sectors.
Learn More >>
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NEWS & UPDATES |
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NVIDIA unveils world’s fastest accelerator for data analytics and scientific computing |
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At SC14, we unveiled the Tesla K80 dual-GPU accelerator that delivers unmatched computing capability with 2x higher performance and memory bandwidth. The Tesla K80 dual-GPU accelerator was designed with the most difficult computational challenges in mind, ranging from astrophysics, genomics and quantum chemistry to data analytics.
It is also optimized for advanced deep learning tasks, one of the fastest growing segments of the machine learning field.
Learn More >>
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VMware and NVIDIA preview NVIDIA GRID vGPU technology in APAC |
VMware Forums conference attendees got the first look at a technology preview of VMware vSphere Hypervisor running NVIDIA GRID vGPU.
To experience VMware vSphere with NVIDIA GRID vGPU yourself, view the requirements and apply for early access.
We’re excited to announce the first participants in the tech preview, including Airbus Group and CH2MHILL.
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Kitware Works with NVIDIA to Drive Massive Acceleration in HPC Visualization |
Kitware Inc., a leader in the creation and support of open-source software and state-of-the-art technology, announced at SC’14 it is working with NVIDIA to develop several powerful enhancements for the field of high performance computing (HPC) visualization.
Learn More >>
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Amber 14 NVIDIA GPU acceleration support |
K80 Benchmarks on AMBER have been released
Check out the numbers here.
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INDUSTRY EVENTS AND CONFERENCES |
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Supercomputing Conference 2014 (SC14) |
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SC14 brings together the most respected minds in high performance computing, networking, storage and analysis. Check out NVIDIA highlights and recommended conference sessions at SC’14 here.
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On Tour: NVIDIA GRID at VMware vForums Across Asia |
At VMware Forums in APAC, NVIDIA GRID team demonstrated the most graphics-intense applications—such as geographical information systems (GIS), AutoCAD, Teamcenter, WebGL and HTML5—all running on a virtualized GPU, without compromised performance.
Learn More >>
[Chinese] CUDA Poster Contest in Taiwan
November 29, Taipei
Learn More >>
HiPC
December 17 – 20, Goa India
NVIDIA is a prime sponsor at the upcoming HiPC conference in Goa, India.
This conference will serve as a platform for researchers from across the world to present their research efforts and findings, and will act as a venue for stimulating discussions and highlighting high performance computing (HPC) related activities in India and Asia.
Learn More >>
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PARALLEL FORALL BLOG |
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For research collaboration and technical matters, please contact Dr Simon See, Director and Chief Solution Architect, NVIDIA Asia Pacific, at
ssee@nvidia.com |
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