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NVIDIA Releases PGI 2018 Compilers and Tools

Today NVIDIA announced the availability of PGI 2018. “PGI is the default compiler on many of the world’s fastest computers including the Titan supercomputer at Oak Ridge National Laboratory. PGI production-quality compilers are for scientists and engineers using computing systems ranging from workstations to the fastest GPU-powered supercomputers.”

Porting Scientific Research Codes to GPUs with CUDA Fortran

Josh Romero from NVIDIA gave this talk at the Stanford HPC Conference. “In this session, we intend to provide guidance and techniques for porting scientific research codes to NVIDIA GPUs using CUDA Fortran. The GPU porting effort of an incompressible fluid dynamics solver using the immersed boundary method will be described. Several examples from this program will be used to illustrate available features in CUDA Fortran, from simple directive-based programming using CUF kernels to lower level programming using CUDA kernels.”

Radio Free HPC looks at the Quest for Quantum Supremacy

In this podcast, the Radio Free HPC team looks at the big three technologies of the day on the Hype curve. “This week Google unveiled their 72-Qbit Bristlecone Quantum Chip, which they claim has them on the road to Quantum Supremacy. At the same time, quantum seems to be going mainstream, as evidenced by a session this week at SXSW.”

Princeton Team using Deep Learning to develop Fusion Energy

Over at the NVIDIA Blog, Tonie Hansen writes that Princeton researchers are using deep learning to help establish the feasibility of delivering fusion energy in the foreseeable future. “The Princeton team has scaled up the capabilities of its FRNN software using thousands of GPUs to train deep neural networks. After successfully running on 6,000 Tesla K20 GPUs on Oak Ridge National Laboratory’s Titan supercomputer, FRNN has recently demonstrated the ability to scale to 3,000 NVIDIA Tesla P100 GPUs on Japan’s new TSUBAME-3 supercomputer at the Tokyo Institute of Technology.”

Accelerating HPC Applications on NVIDIA GPUs with OpenACC

Doug Miles from NVIDIA gave this talk at the Stanford HPC Conference. “This talk will include an introduction to the OpenACC programming model, provide examples of its use in a number of production applications, explain how OpenACC and CUDA Unified Memory working together can dramatically simplify GPU programming, and close with a few thoughts on OpenACC future directions.”

Preliminary Agenda Posted for HPC Advisory Council Swiss Conference

The HPC Advisory Council has posted their meeting agenda for their Swiss Conference. Held in conjunction with HPCXXL, the event takes place April 9-12 in Lugano, Switzerland. “Delve into a wide range of interests, disciplines and topics in HPC – from present day application to its future potential. Join the Centro Svizzero di Calcolo Scientifico (CSCS), HPC Advisory Council members and colleagues from around the world for invited and contributed talks and immersive tutorials at the ninth annual Swiss Conference! Knowledgeable evaluations, prescriptive best practices and provocative insights, the open forum conference brings together industry experts for three days of highly interactive sessions.”

Deploy Serverless TensorFlow Models using Kubernetes, OpenFaaS, GPUs and PipelineAI

Chris Fregly from PipelineAI gave this talk at the Stanford HPC Conference. “Applying my Netflix experience to a real-world problem in the ML and AI world, I will demonstrate a full-featured, open-source, end-to-end TensorFlow Model Training and Deployment System using the latest advancements with TensorFlow, Kubernetes, OpenFaaS, GPUs, and PipelineAI.”

OCF deploys first IBM POWER9 systems in UK Academia

Queen Mary University of London and Newcastle University are the first UK academic institutions to install POWER9 systems. Deployed by OCF, both Universities have already integrated the machines into their existing HPC infrastructures. “Modern AI, HPC and Analytics workloads are driving an ever-growing set of data intensive challenges,” comments Julian Fielden, Managing Director of OCF. “These challenges can only be met with accelerated infrastructure, such as IBM’s POWER9. In such a highly competitive field as academic research, providing superior HPC services to compute large quantities of data quickly, can help to attract world-class researchers, as well as grants and funding.”

GPU Technology Conference Returns to San Jose March 26-29

NVIDIA will host thousands of the world’s leading AI experts at its ninth annual GPU Technology Conference (GTC) on March 26-29 in San Jose, California. “GTC is where the world’s leading researchers and business leaders learn how to harness the power of AI,” said Greg Estes, vice president of Developer Programs at NVIDIA. “As GPU computing continues to drive the AI revolution, GTC is where you’ll see the future take shape.”

NVIDIA Powers 22.4 Petaflop HPC4 Supercomputer at Eni

Oil & Gas giant Eni of Italy has expanded the computing capacity of their Green Data Center with a massive GPU-powered system called HPC4. Built by HPE, the 22.4 Petaflop supercomputer is powered  by 3,200 Tesla GPU accelerators. “Based in Ferrera Erbognone near Milan, HPC4 quadruples the company’s computational power and makes its HPC infrastructure the world’s most powerful industrial computing system today.”