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Developing Faster Algorithms with OpenACC and XcalableACC

In this video from the 2018 GPU Technology Conference, Prof. Taisuke Boku from the University of Tsukuba & JCAHPC and Duncan Poole, President of OpenACC describe how OpenACC is accelerating science. “Dr. Boku and his team are working on OpenACC and XcalableACC for accelerated computing. XcalableACC is an extension of XMP for accelerated clusters using OpenACC. Programmers can develop an application to insert XMP and OpenACC directives into a sequential program.”

The Transformation of HPC: Simulation and Cognitive Methods in the Era of Big Data

Dave Turek from IBM gave this talk at the Swiss HPC Conference. “There is a shift underway where HPC is beginning to be addressed with novel techniques and technologies including cognitive and analytic approaches to HPC problems and the arrival of the first quantum systems. This talk will showcase how IBM is merging cognitive, analytics, and quantum with classic simulation and modeling to create a new path for computational science.”

Video: The Convergence of HPC and Deep Learning

Axel Koehler from NVIDIA gave this talk at the Switzerland HPC Conference. “The technology originally developed for HPC has enabled deep learning, and deep learning is enabling many usages in science. Deep learning is also helping deliver real-time results with models that used to take days or months to simulate. The presentation will give an overview about the latest hard- and software developments for HPC and Deep Learning from NVIDIA and will show some examples that Deep Learning can be combined with traditional large scale simulations.”

Video: Demystifying Parallel and Distributed Deep Learning

Torsten Hoefler from (ETH) Zürich gave this talk at the 2018 Swiss HPC Conference. “Deep Neural Networks (DNNs) are becoming an important tool in modern computing applications. Accelerating their training is a major challenge and techniques range from distributed algorithms to low-level circuit design. In this talk, we describe the problem from a theoretical perspective, followed by approaches for its parallelization.”

Radio Free HPC Looks at HPC Highlights from the GPU Technology Conference

In this podcast, the Radio Free HPC team reviews the HPC highlights of the GPU Technology Conference. “From Rich’s perspective, the key announcement centered around new NVIDIA DGX-2 supercomputer with the NVSwitch interconnect.”

How ZIFF Powers AI with Dell EMC Technologies

In this video from the GPU Technology Conference, David Gonzolez from Ziff describes how Dell EMC powers AI solutions at his company. “ZIFF is unique in its approach to Ai. By focusing on empowering product visionaries and software engineers, ZIFF can help organizations fully unlock the insights and automation trapped within their unstructured data.” To accelerate it’s unstructured database technology, Ziff uses the Dell PowerEdge C4140, which allows them meet the demands of cognitive computing workloads with a dense, accelerator-optimized 1U server supporting 4 GPUs and superior thermal efficiency.

How NVIDIA Powers HPC for Energy at Dell EMC

In this video from the GPU Technology Conference, Peter Lilian from NVIDIA describes how the company works with Dell EMC to deliver extreme performance solutions for the Energy sector. “Dell EMC and NVIDIA have expanded their collaboration by signing a new strategic agreement to include joint product development of new products and solutions that address the burgeoning workload and datacenter requirements, with GPU-accelerated solutions for HPC, data analytics, and artificial intelligence.”

Mellanox powers NVIDIA DGX-2 AI Supercomputer

Today Mellanox announced that the company’s InfiniBand and Ethernet solutions have been chosen to accelerate the new NVIDIA DGX-2 artificial intelligence system. DGX-2 is the first 2 Petaflop system that combines sixteen GPUs and eight Mellanox ConnectX adapters, supporting both EDR InfiniBand and 100 gigabit Ethernet connectivity. The technological advantages of the Mellanox adapters with smart acceleration engines enable the highest performance for AI and Deep Learning applications.

New MapD Cloud offers GPU-accelerated Analytics

Over at the MapD blog, Todd Mostak writes the company has justed launched the MapD Cloud, a major milestone GPU-accelerated analytics. “With MapD Cloud, anyone can spin up a 2-week trial of our platform in less than 60 seconds, and then continue as a customer with a mix of self-service individual and enterprise plans. The launch of MapD cloud is the next major step toward our larger vision of giving everyone access to GPU-accelerated analytics, following our decision to open source the core of the platform nearly a year ago.”

Video: Piz Daint Supercomputer speeds PRACE simulations in Europe

In this video, the European PRACE HPC initiative describes how the Piz Daint supercomputer at CSCS in Switzerland provides world-class supercomputing power for research. “We are very pleased that Switzerland – one of our long-time partners in high-performance computing – is joining the European effort to develop supercomputers in Europe,” said Mariya Gabriel, Commissioner for Digital Economy and Society. “This will enhance Europe’s leadership in science and innovation, help grow the economy and build our industrial competitiveness.”