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Finding a Solution for Ai in Government

A new special report from insideHPC, courtesy of Dell EMC and NIVIDa explores current machine learning applications in government. And this excerpt breaks down solutions for AI in government, including Dell EMC Ready Solutions. Dell EMC Ready Solutions for AI are validated hardware and software stacks optimized to accelerate AI initiatives, shortening the time to architect a new solution by six to 12 months.

Gordon Bell Prize Highlights the Impact of Ai

In this special guest feature from Scientific Computing World, Robert Roe reports on the Gordon Bell Prize finalists for 2018. “The finalist’s research ranges from AI to mixed precision workloads, with some taking advantage of the Tensor Cores available in the latest generation of Nvidia GPUs. This highlights the impact of AI and GPU technologies, which are opening up not only new applications to HPC users but also the opportunity to accelerate mixed precision workloads on large scale HPC systems.”

Today’s Application of Ai Within Government

Across the globe, governments are acknowledging the potential of AI technologies to impact our daily lives, from how we make purchasing decisions to improving our healthcare. But there are several reasons why government agencies may be hesitant to adopt AI technologies. A new insideHPC Guide, courtesy of Dell EMC and NVIDIA, explores what’s next for government AI, as well as already tangible results of AI and machine learning.

NVIDIA steps up with Nsight Systems Performance Analysis Tool

Today NVIDIA announced that NVIDIA Nsight Systems 2019.1 is now available for download. As a system-wide performance analysis tool. With it, developers can visualize application algorithms, identify large optimization opportunities, and tune/scale efficiently across CPUs and GPUs. “In this release, we introduce a wide range of new features, refinements, and fixes. The enhancements aim to improve a user’s ability to analyze neural network performance, locate graphical stutter, and increase pattern discoverability.”

Video: Speeding up Programs with OpenACC in GCC

Thomas Schwinge from Mentor gave this talk at FOSDEM’19. “Requiring only few changes to your existing source code, OpenACC allows for easy parallelization and code offloading to accelerators such as GPUs. We will present a short introduction of GCC and OpenACC, implementation status, examples, and performance results.”

Rapids: Data Science on GPUs

Christoph Angerer from NVIDIA gave this talk at FOSDEM’19. “The next big step in data science will combine the ease of use of common Python APIs, but with the power and scalability of GPU compute. The RAPIDS project is the first step in giving data scientists the ability to use familiar APIs and abstractions while taking advantage of the same technology that enables dramatic increases in speed in deep learning. This session highlights the progress that has been made on RAPIDS, discusses how you can get up and running doing data science on the GPU, and provides some use cases involving graph analytics as motivation.”

An insideHPC Guide: Augmented Intelligence in Government

Today, through their ability to adapt, solve problems and simulate human intelligence, AI-based applications are being used across industries and sectors to supplement human ability. Download the new special report from insideHPC, “Augmented Intelligence in Government,” brought to you by Dell, to discover the latest technologies that underpin AI, explore current machine learning applications in government, learn from real-world successes, and see how government agencies can benefit from AI.

NVIDIA Quadro Comes to the Microsoft Azure Cloud

NVIDIA Quadro Virtual Workstations are now available on the Microsoft Azure Marketplace, enabling virtual workstation performance for more artists, engineers and designers. “Starting today, Microsoft Azure cloud customers in industries like architecture, entertainment, oil and gas, and manufacturing can easily deploy the advanced GPU-accelerated capabilities of Quadro Virtual Workstation (Quadro vWS) whenever, wherever they need it.”

Call For Proposals: Worldwide GPU Hackathons in 2019

ORNL has issued its Call for Proposals for a set of global GPU Hackathons in 2019. “A GPU hackathon is a 5-day coding event in which teams of developers port their applications to run on GPUs, or optimize their applications that already run on GPUs. Each team consists of three or more developers who are intimately familiar with (some part of) their application, and they work alongside two mentors with GPU programming expertise. The mentors come from universities, national laboratories, supercomputing centers, government institutions, and vendors.”

France to Double Supercomputing Capacity with Jean Zay Ai System from HPE

HPE is building a new Ai supercomputer for GENCI in France. Called Jean Zay, the 14 Petaflop system is part of an artificial intelligence initiative called for by President Macron to bolster the nation’s scientific and economic growth. “At Hewlett Packard Enterprise, we continue to fuel the next frontier and unlock discoveries with our end-to-end HPC and AI offerings that hold a strong presence in France and have been further strengthened just in the past couple of years.”