Oak Ridge National Lab is celebrating the fourth birthday of Titan, the fastest supercomputer in the U.S. that is currently ranked at #3 on the TOP500. “To celebrate Titan’s 4th “birthday” properly, the OLCF needs your help! We’re asking friends of Titan to post birthday messages, pictures, and short videos (30 seconds or less) on Twitter and Facebook using the hashtag #TitanWeek.”
In this podcast, the Radio Free HPC team previews the SC16 Student Cluster Competition. To get us primed up, Dan gives us his impressions of the 14 teams competing this year. That’s a record number! “The Student Cluster Competition was developed in 2007 to immerse undergraduate and high school students in HPC. Student teams design and build small clusters, with hardware and software vendor partners, learn designated scientific applications, apply optimization techniques for their chosen architectures, and compete in a non-stop, 48-hour challenge.”
“This talk will provide empirical evidence from our Deep Speech work that application level performance (e.g. recognition accuracy) scales with data and compute, transforming some hard AI problems into problems of computational scale. It will describe the performance characteristics of Baidu’s deep learning workloads in detail, focusing on the recurrent neural networks used in Deep Speech as a case study. It will cover challenges to further improving performance, describe techniques that have allowed us to sustain 250 TFLOP/s when training a single model on a cluster of 128 GPUs, and discuss straightforward improvements that are likely to deliver even better performance.”
Over at CSCS, Simone Ulmer writes that the Swiss National Supercomputing Centre is turning twenty-five. First opened in 1991, CSCS supports users from Swiss and international institutions in their top-flight research and runs computers as a service facility for research associations and MeteoSwiss.
In this podcast, the Radio Free HPC team looks at the new OpenCAPI interconnect standard. “Released this week by the newly formed OpenCAPI Consortium, OpenCAPI provides an open, high-speed pathway for different types of technology – advanced memory, accelerators, networking and storage – to more tightly integrate their functions within servers. This data-centric approach to server design, which puts the compute power closer to the data, removes inefficiencies in traditional system architectures to help eliminate system bottlenecks and can significantly improve server performance.”
The third Workshop on Accelerator Programming Using Directives (WACCPD) has posted their meeting agenda. Held in conjunction with SC16, the WACCPD workshop takes place Nov. 14 in Salt Lake City. “To address the rapid pace of hardware evolution, developers continue to explore and add richer features to the various (parallel) programming standards. Domain scientists continue to explore the programming and tools space while preparing themselves for future Exascale systems. This workshop explores innovative language features – their implementations, compilation & runtime scheduling techniques, performance optimization strategies, autotuning tools exploring the optimization space and so on. WACCPD has been one of the major forums for bringing together the users, developers and tools community to share their knowledge and experiences of using directives and similar approaches to program emerging complex systems.”
Today AMD announced that the Alibaba Cloud will use AMD Radeon Pro GPU technology to help expand its cloud computing offerings and accelerate adoption of its cloud-based services. “The partnership between AMD and Alibaba Cloud will bring both of our customers more diversified, cloud-based graphic processing solutions. It is our vision to work together with leading technology firms like AMD to empower businesses in every industry with cutting-edge technologies and computing capabilities,” said Simon Hu, president of Alibaba Cloud.
In this video, NYU researchers describe their plans to advance deep learning with their new Nvidia DGX-1 AI supercomputer. “The DGX-1 is going to be used in just about every research project we have here,” said Yann LeCun, founding director of the NYU Center for Data Science and a pioneer in the field of AI. “The students here can’t wait to get their hands on it.”
Will this be the year of artificial intelligence, when the technology comes into its own for mainstream business? There are big pushes for AI in manufacturing, agriculture, healthcare and many other industry sectors. But why now? Please share your insights in our Reader Survey.
Robotics and Deep Learning applications were front and center at GTC Japan this week, where 2600 attendees lined up to hear the latest on GPU technologies. The age of AI is here,” said Jen-Hsun Huang, founder and CEO of NVIDIA. “GPU deep learning ignited this new wave of computing where software learns and machines reason. […]