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Wave Computing Acquires MIPS for AI on the Edge

AI startup Wave Computing announced this week that it has acquired MIPS. “The acquisition of MIPS allows us to combine technologies to create products that will deliver a single ‘Datacenter-to-Edge’ platform ideal for AI and deep learning. We’ve already received very strong and enthusiastic support from leading suppliers and strategic partners, as they affirm the value of data scientists being able to experiment, develop, test and deploy their neural networks on a common platform spanning to the Edge of Cloud.”

Intel to Showcase AI and HPC Demos at ISC 2018

Today Intel released a sneak peek at their plans for ISC 2018 in Frankfurt. The company will showcase how it’s helping AI developers, data scientists and HPC programmers transform industries by tapping into HPC to power the AI solutions. “ISC brings together academic and commercial disciplines to share knowledge in the field of high performance computing. Intel’s presence at the event will include keynotes, sessions, and booth demos that will be focused on the future of HPC technology, including Artificial Intelligence (AI) and visualization.”

Atos Quantum Learning Machine Comes to SURFsara in the Netherlands

Dutch researchers have a new opportunity to experiment with Quantum Computing with the new Atos Quantum Learning Machine at SURFsara. The Atos Quantum Learning Machine is a complete on-premise quantum simulation environment designed for quantum software developers to generate quantum algorithms. It is dedicated to the development of quantum software, training and experimentation. The Atos Quantum Learning Machine allows researchers, engineers and students to develop and experiment with quantum software.

Video: AMD HPC Update

Jay Owen from AMD gave this talk at the HPC User Forum in Tucson. “With the introduction of new EPYC processor based servers with Radeon Instinct GPU accelerators, combined with our ROCm open software platform, AMD is ushering in a new era of heterogeneous compute for HPC and Deep Learning. Truly accelerating the pace of deep learning and addressing the broad needs of the datacenter requires a combination of high performance compute and GPU acceleration optimized for handling massive amounts of data with lots of floating point computation that can be spread across many cores.”

NVIDIA Opens AI Research Lab in Toronto

Over at the NVIDIA Blog, Gavriel State writes that the company has opened a new AI Research Lab in Toronto. The AI Research Lab will be led by computer scientist and University of Toronto professor Sanja Fidler. “With the new lab, our goal is to triple the number of AI and deep learning researchers working there by year’s end. It will be a state-of-art facility for AI talent to work in and will expand the footprint of our office by about half to accommodate the influx of talent.”

Intel Stratix FPGAs Power Innovation for the Dell HPC Community

In this video from the Dell EMC HPC Community Meeting, Chris Branch from Intel describes how FPGAs deliver speed and efficiency for technical computing. The two companies are working together to bring new FPGA solutions to market. “With ​ever-changing ​​workloads​ ​and​ ​evolving​ ​standards,​ ​how ​do​ ​you​ ​maximize performance ​while ​​minimizing​ ​power​ ​consumption in your data center? Intel platforms are qualified, validated, and deployed through Dell EMC.”

Agenda Posted for ExaComm 2018 Workshop in Frankfurt

The ExaComm 2018 workshop has posted their Speaker Agenda. Held in conjunction with ISC 2018, the Fourth International Workshop on Communication Architectures for HPC, Big Data, Deep Learning and Clouds at Extreme Scale takes place June 28 in Frankfurt. ” The goal of this workshop is to bring together researchers and software/hardware designers from academia, industry and national laboratories who are involved in creating network-based computing solutions for extreme scale architectures. 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.”

MareNostrum 4 Adds POWER9 Racks with Volta GPUS for AI Research

The Barcelona Supercomputing Centre has augmented their hybrid MareNostrum supercomputer with the new racks of IBM AC922 servers. This upgrade makes BSC becomes the first center in Europe to offer access to the same technologies of the brand new Summit, the most powerful supercomputer in the world. “Accelerated by NVIDIA Volta V100 GPUs, the new three racks have a peak performance of 1.48 Petaflops, a 50% more than MareNostrum3 supercomputer, which was uninstalled just one year ago”

Improving Deep Learning scalability on HPE servers with NovuMind: GPU RDMA made easy

Bruno Monnet from HPE gave this talk at the NVIDIA GPU Technology Conference. “Deep Learning demands massive amounts of computational power. Those computation power usually involve heterogeneous computation resources, e.g., GPUs and InfiniBand as installed on HPE Apollo. NovuForce deep learning softwares within the docker image has been optimized for the latest technology like NVIDIA Pascal GPU and infiniband GPUDirect RDMA. This flexibility of the software, combined with the broad GPU servers in HPE portfolio, makes one of the most efficient and scalable solutions.”

Working with the Dell EMC AI & HPC Innovation Lab

In this video from the Dell EMC HPC Community meeting in Austin, Garima Kochhar from Dell describes how the company works with customers at the Dell EMC AI & HPC Innovation Lab. “The HPC Innovation Lab gives our customers access to cutting-edge technology, like the latest-generation Dell EMC products, Scalable System Framework from Intel, InfiniBand gear from Mellanox, NVIDIA GPUs, Bright Computing software, and more. Customers can bring us their workloads, and we can help them tune a solution before the technology is readily available.”