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Scaling Machine Learning Software with Allinea Tools

“The majority of deep learning frameworks provide good out-of-the-box performance on a single workstation, but scaling across multiple nodes is still a wild, untamed borderland. This discussion follows the story of one researcher trying to make use of a significant compute resource to accelerate learning over a large number of CPUs. Along the way we note how to find good multiple-CPU performance with Theano* and TensorFlow*, how to extend a single-machine model with MPI and optimize its performance as we scale out and up on both Intel Xeon and Intel Xeon Phi architectures.”

K-Computer Leads Graph 500 List of World’s Fastest Supercomputers

The K-Computer in Japan continues to top the Graph 500 ranking of the world’s fastest supercomputers. The latest list was released today at SC16 in Salt Lake City. “The Graph 500 measures performance against three kernels: search, optimization (single-source shortest path), and edge-oriented. Results on these kernels are informative for application performance in business areas as diverse as cybersecurity, medical informatics, social networks, data enrichment, and symbolic networks such as the human brain.”

Machine Learning and HPC Converge at NERSC

In this video from the Intel HPC Developer Conference, Prabhat from NERSC describes how high performance computing techniques are being used to scale Machine Learning to over 100,000 compute cores. “Using TB-sized datasets from three science applications: astrophysics, plasma physics, and particle physics, we show that our implementation can construct kd-tree of 189 billion particles in 48 seconds on utilizing ∼50,000 cores.”

Watch the Thursday Livestream from the Nvidia Booth at SC16

Couldn’t make it SC16? Tune in right here on insideHPC to watch all the Nvidia Theater talks this week. “Come join NVIDIA at SC16 to learn how AI supercomputing is breaking open a world of limitless possibilities. This is an era of multigenerational discoveries taking place in a single lifetime. See how other leaders in the field are advancing computational science across domains, get free hands-on training with the newest GPU-accelerated solutions, and connect with NVIDIA experts.”

One Stop Systems Introduces a New Line of GPU Accelerated Servers for Deep Learning at SC16

Today One Stop Systems announced two new deep learning appliances that leverage the NVIDIA NVLink. One Stop Systems’ deep learning appliances are designed for augmented performance in machine learning and deep learning applications. These appliances provide the ultimate power for performing deep learning training and exploring neural networks,” said Steve Cooper, OSS CEO. “The OSS-PASCAL4 and OSS-PASCAL8 […]

Using Machine Learning to Avoid the Unwanted

In this video from the Intel HPC Developer Conference, Justin Gottschlich, PhD from Intel describes how the company doubling down on Anomaly Detection using Machine Learning and Intel technologies. “In this talk, we present future research directions at Intel Labs using deep learning for anomaly detection and management. We discuss the required machine learning characteristics for such systems, ranging from zero positive learning, automatic feature extraction, and real-time reinforcement learning. We also discuss the general applicability of such anomaly detection systems across multiple domains such as data centers, autonomous vehicles, and high performance computing.”

Video: Jen-Hsun Huang Keynote from the Nvidia Booth at SC16

Watch this video of Nvidia CEO Jen-Hsun Huang’s talk from SC16 in Salt Lake City. Can’t make it to the show? Tune in right here on insideHPC to watch Nvidia talks all this week. “See how other leaders in the field are advancing computational science across domains, get free hands-on training with the newest GPU-accelerated solutions, and connect with NVIDIA experts.”

Seagate Accelerates ClusterStor with Flash

Today Seagate Technology introduced the ClusterStor 300N storage system with Nytro Intelligent I/O Manager, the newest addition to its family of scale-out storage systems for high-performance computing and the first with a flash cache accelerator. “Seagate’s ClusterStor 300N expands on our proven, engineered systems approach that delivers performance efficiency and value for HPC environments of any size, using a hybrid technology architecture to handle tough workloads at a fraction of the cost of all-flash approaches.”

Fireside Chat: Dr. Eng Lim Goh on New Trends in HPC Energy Efficiency & Deep Learning

In this video from SC16, Dr. Eng Lim Goh from HPE/SGI discusses new trends in HPC Energy Efficiency and Deep Learning. “SGI’s leadership in data analytics derives from deep expertise in High Performance Computing and over two decades delivering many of the world’s fastest supercomputers. Leveraging this experience and SGI’s innovative shared and distributed memory computing solutions for data analytics enables organizations to achieve greater insight, accelerate innovation, and gain competitive advantage.”

Adaptive Computing Rolls Out New Reporting & Analytics Tool

“Adaptive Computing is driving up our customers’ productivity by helping them gain true insight into how their resources are being used, how to handle future capacity planning, and the service levels they are delivering to their most critical projects,” says Marty Smuin, CEO of Adaptive Computing. “This latest solution helps deliver the insights that organizations need in order to eliminate waste, avoid unnecessary delays, and make the changes that will align resources to better achieve organizational goals.”