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Nvidia Unveils World’s First GPU Design for Inferencing

Nvidia’s GPU platforms have been widely used on the training side of the Deep Learning equation for some time now. Today the company announced a new Pascal-based GPU tailor-made for the inferencing side of Deep Learning workloads. “With the Tesla P100 and now Tesla P4 and P40, NVIDIA offers the only end-to-end deep learning platform for the data center, unlocking the enormous power of AI for a broad range of industries,” said Ian Buck, general manager of accelerated computing at NVIDIA.”

The Future of HPC Application Management in a Post Cloud World

The prevalency of cloud computing has changed the HPC landscape necessaiting HPC management tools that can manage and simplify complex enviornments in order to optimize flexibility and speed. Altair’s new solution PBS Cloud Manager makes it easy to build and manage HPC application stacks.

Examples of Deep Learning Industrialization

Humans are very good at visual pattern recognition especially when it comes to facial features and graphic symbols and identifying a specific person or associating a specific symbol with an associated meaning. It is in these kinds of scenarios where deep learning systems excel. Clearly identifying each new person or symbol is more efficiently achieved by a training methodology than by needing to reprogram a conventional computer or explicitly update database entries.

European SAVE Project Streamlines Data Intensive Computing

A consortium of European researchers and technology companies recently completed the EU-funded SAVE project, aimed at simplifying the execution data-intensive applications on complex hardware architectures. Funded by the European Commission’s Seventh Framework Programme (FP7), the project was launched in 2013, under the project name ‘Self-Adaptive Virtualization-Aware High-Performance/Low-Energy Heterogeneous System Architectures’ (SAVE). The project, which was completed at the start of this month, has led to innovations in hardware, software and operating system (OS) components.

Lustre Training Day Coming to SC16 in Salt Lake City

Coming to SC16? Intel is hosting a one-day Lustre training session on Friday November 18th, 2016 at the Sheraton in Salt Lake City. “You can expect the top Lustre experts to spend the day with on the training topics that you care about.”

Supermicro Shipping Servers with NVIDIA Tesla P100 GPUs

Supermicro’s density optimized 4U SuperServer 4028GR-TR(T)2 supports up to 10 PCI-E Tesla P100 accelerators for up to 210 TFLOPS FP16 peak performance with GPU Direct RDMA support. Supermicro’s innovative and GPU optimized single root complex PCI-E design is proven to dramatically improve GPU peer-to-peer communication efficiency over QPI and PCI-E links, with up to 21% higher QPI throughput and 60% lower latency compared to previous generation products. These 4U SuperServers support dual Intel Xeon processor E5-2600 v4/v3 product families, up to 3TB DDR4-2400MHz memory, optional dual onboard 10GBase-T ports, and redundant Titanium Level (96%) digital power supplies.

Video: HPC in the Cloud

“Nimbis was founded in 2008 by HPC industry veterans Robert Graybill and Brian Schott to act as the first nationwide brokerage clearinghouse for a broad spectrum of integrated cloud-based HPC platforms and applications. Our fully integrated online Technical Computing Marketplace comprises several stores hosting modeling and simulation applications on HPC platforms in the cloud.”

One Stop Systems Shipping Platforms with NVIDIA Tesla P100 for PCIe

Today One Stop Systems (OSS) announced that its High Density Compute Accelerator (HDCA) and its Express Box 3600 (EB3600) are now available for purchase with the NVIDIA Tesla P100 for PCIe GPU. These high-density platforms deliver teraflop performance with greatly reduced cost and space requirements. The HDCA supports up to 16 Tesla P100s and the EB3600 supports up to 9 Tesla P100s. The Tesla P100 provides 4.7 TeraFLOPS of double-precision performance, 9.3 TeraFLOPS of single-precision performance and 18.7 TeraFLOPS of half-precision performance with NVIDIA GPU BOOST technology.

Deep Learning with the Intel Xeon Phi Processor

“An environment that assists in deep learning usually consists of algorithms that can draw conclusions from data that is run at very high speeds. Processors such as the Intel Xeon Phi Processor that contain a significant number of processing cores and operate in a SIMD mode are critical to these new environments. With the Intel Xeon Phi processor, new insights can be discovered from either existing data or new data sources.”

Dell & EMC in HPC – The Journey so far and the Road Ahead

Ed Turkel and Percy Tzelnic from Dell Technologies presented this pair of talks at the HPC User Forum in Austin. “This week, Dell Technologies announced completion of the acquisition of EMC Corporation, creating a unique family of businesses that provides the essential infrastructure for organizations to build their digital future, transform IT and protect their most important asset, information. This combination creates a $74 billion market leader with an expansive technology portfolio.”