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Video: ExaAM – Transforming Additive Manufacturing through Exascale Simulation

In this video from the HPC User Forum in Detroit, John Turner, Oak Ridge National Laboratory presents: ExaAM – Transforming Additive Manufacturing through Exascale Simulation. “The goal of ExaAM is to develop an AM simulator that will give researchers a tool to determine the best method to print parts with complex geometries and site-specific properties, complemented by real-time, in situ process visualization, analyses and optimization. Coupled with a modern computer-aided design tool, the simulator will allow the routine use of AM to build unique, qualifiable metal alloy parts across many industries relevant to DOE.”

Supercomputing More Fuel-Efficient Engines at GM

Ronald Grover from GM gave this talk at the HPC User Conference. “Ronald Grover his colleagues at GM are using the Titan supercomputer at the Oak Ridge Leadership Computing Facility (OLCF), a US Department of Energy (DOE) Office of Science User Facility at DOE’s Oak Ridge National Laboratory (ORNL), to improve combustion models for diesel passenger car engines with an ultimate goal of accelerating innovative engine designs while meeting strict emissions standards.”

Video: Energy Efficient Acceleration of RNNs using CGRA

Prof. Aviral Shrivastava from Arizona State University gave this talk at the ARM Research Summit. “Prof. Aviral Shrivastava is Associate Professor in the School of Computing Informatics and Decision Systems Engineering at the Arizona State University, where he has established and heads the Compiler and Microarchitecture Labs (CML).”

5 of 6 Gordon Bell Finalists use NVIDIA Volta Tensor Core GPUs

Over at the NVIDIA Blog, Geetika Gupta writes that the company’s powerful GPUs are being used by five of the six Gordon Bell Prize finalists. Just announced by ACM, these world-leading researchers did their work on the new NVIDIA GPU-accelerated Summit system at Oak Ridge National Laboratory and Sierra system at Lawrence Livermore National Laboratory.

Supermicro HGX-2 Cloud Server to Sport 2 Petaflops of Ai Horsepower

Today Supermicro announced that the company’s upcoming NVIDIA HGX-2 cloud server platform will be the world’s most powerful system for artificial intelligence and HPC capable of performing at 2 PetaFLOPS. “Our new HGX-2 system will enable efficient training of complex models. It combines sixteen Tesla V100 32GB SXM3 GPUs connected via NVLink and NVSwitch to work as a unified 2 PetaFlop accelerator with half a terabyte of aggregate GPU memory to deliver unmatched compute power.”

Video: How Governments Can Get Involved in Artificial Intelligence

In this episode of Ai News, David Shaw examines the question: is Ai tangible or realistic? “Naveen believes that we have to start at the beginning, in elementary schools, and try to model curriculum with AI in mind. Just as kids learn skills like typing in school, they might also gain some guided computational skills. When it comes to STEM, more schools can try to incentivize students to excel in these fields by providing more grants and scholarships.”

Video: 1 Year Later, the HPE Spaceborne Supercomputer Keeps on Trucking

Mark Fernandez from HPE gave this talk at the HPC User Forum in Detroit. “It’s been almost 12 months since HPE and NASA sent the first ever commercial off-the-shelf (COTS) computer system — the Spaceborne Computer — to the International Space Station (ISS). As part of an experiment to operate seamlessly in the harsh conditions of space for one year – about the amount of time it will take to travel to Mars — Spaceborne is literally going faster and further than any other COTS supercomputer has been before.”

Expressing Parallelism in C++ with Threading Building Blocks

Parallelism helps applications make the best use of processors on single or multiple devices. However, parallelism implementation itself can prove a challenging task. In this video, Mike Voss, principal engineer with the Core and Visual Computing Group at Intel discusses the benefits of Intel® Threading Building Blocks (Intel® TBB), a C++ library, and how it can simplify the work of adding parallelism without the need to probe into threading details.

Video: NVIDIA Rolls out TensorRT Hyperscale Platform and New T4 GPU for Ai Datacenters

This morning at GTC Japan, NVIDIA CEO Jensen Huang announced a set new products centered around Ai and accelerated computing. Targeting Hyperscale datacenters looking to run Ai workloads, NVIDIA continues to innovate Machine Learning technologies at an unprecedented pace. “There is no question that deep learning-powered AI is being deployed around the world, and we’re seeing incredible growth here,” Huang told an audience of more than 4,000 press, partners, academics and technologists gathered on the latest stop in a GTC world tour.

Interview: Brent Gorda on his New Role as Head of ARM HPC

Former Whamcloud CEO Brent Gorda has a new role as Senior Director for the HPC business at Arm. We caught up with Brent to learn more about the company’s plans to grow their business in the Datacenter, HPC space, and on to Exascale. “Arm partners ship over 20 billion cores a year(!) and our company is well-known for being the core IP in many designs at the edge. The trend toward the datacenter with Arm is clear, it’s an opportunity for the HPC market to take advantage of the considerable boost in performance via SVE and the Arm roadmap.”