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ExaComm 2017 Workshop at ISC High Performance posts Full Agenda

The ExaComm 2017 Workshop at ISC High Performance has posted its Full Agenda. As the Third International Workshop on Communication Architectures for HPC, Big Data, Deep Learning and Clouds at Extreme Scale, the one day workshop takes place at the Frankfurt Marriott Hotel on Thursday, June 22. “The objectives of this workshop will be to share the experiences of the members of this community and to learn the opportunities and challenges in the design trends for exascale communication architectures.”

Video: 5 Petaflop Booster System from Dell EMC coming to Jülich

In this video from the Dell EMC HPC Community meeting in Austin, Thomas Lippert from the Jülich Supercomputing Centre describes their pending 5 Petaflop Booster system. “This will be the first-ever demonstration in a production environment of the Cluster-Booster concept, pioneered in DEEP and DEEP-ER at prototype-level, and a considerable step towards the implementation of JSC’s modular supercomputing concept,” explains Prof. Thomas Lippert, Director of the Jülich Supercomputing Centre.

The New Nvidia HGX-1: GPU Power for Machine Learning at Hyperscale

Rob Ober from Nvidia describes the company’s new HGX-1 reference platform for GPU computing. “Powered by NVIDIA Tesla GPUs and NVIDIA NVLink high-speed interconnect technology; the HGX-1 comes as AI workloads—from autonomous driving and personalized healthcare to superhuman voice recognition—are taking off in the cloud.”

Exxact Powers HPC & Deep Learning at the GPU Technology Conference

In this video from the 2017 GPU Technology Conference, Jason Chen from Exxact Corporation describes the company’s innovative GPU solutions for HPC & Deep Learning workloads. “Exxact Corporation is a global, value-added supplier of computing products and solutions. We provide services in IT distribution and system integration for HPC, Big Data, Cloud, and AV applications and markets, while servicing many of world’s top national labs, research universities, online retailers, and Fortune 100 & 1000 companies.”

Supermicro Showcases Powerful GPU Solutions at GTC 2017

In this video from GTC 2017, Rodolfo Campos from Supermicro describes the company’s innovative solutions for GPU-accelerated computing. “Leveraging our extensive portfolio of GPU solutions, customers can massively scale their compute clusters to accelerate their most demanding deep learning, scientific and hyperscale workloads with fastest time-to-results, while achieving maximum performance per watt, per square foot, and per dollar.”

Eric Barton Joins DDN as CTO for Software-Defined Storage

Today DDN appointed Eric Barton as the company’s chief technology officer for software-defined storage. In this role, Barton will lead the company’s strategic roadmap, technology architecture and product design for DDN’s newly created Infinite Memory Engine business unit. Barton brings with him more than 30 years of technology innovation, entrepreneurship and expertise in networking, distributed systems and storage software.

Kimberly Keeton from HPE Presents: Memory-Driven Computing

Kimberly Keeton from HPE gave this talk at the MSST Conference. “Data growth and data analytics requirements are outpacing the compute and storage technologies that have provided the foundation of processor-driven architectures for the last five decades. This divergence requires a deep rethinking of how we build systems, and points towards a memory-driven architecture, where memory is the key resource and everything else, including processing, revolves around it.

Drilling Down into Machine Learning and Deep Learning

Artificial intelligence and machine learning are rising in popularity as the needs of big data call for systems that exceed human capabilities. This article is part of a special insideHPC report that explores trends in machine learning and deep learning.

Bridging Big – Small, Fast – Slow with Campaign Storage

Peter Braam gave this talk at the MSST 2017 Mass Storage Conference. “Campaign Storage offers radical revisions of old workflows and adapts to new technologies. But it also leverages widely available technologies and interfaces to offer stability from the ground up and blend in with the past. We’ll discuss how a simple combination of components can support scalability, data analytics and efficient integration with memory based storage.”

How Intel FPGAs Power Azure Deep Learning

Microsoft Azure CTO Mark Russinovich recently disclosed major advances in Microsoft’s hyperscale deployment of Intel field programmable gate arrays (FPGAs). These advances have resulted in the industry’s fastest public cloud network, and new technology for acceleration of Deep Neural Networks (DNNs) that replicate “thinking” in a manner that’s conceptually similar to that of the human brain.