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CUDA-X HPC: Libraries and Tools for your Next Scientific Breakthrough

Today NVIDIA announced CUDA-X HPC, a collection of libraries, tools, compilers and APIs that helps developers solve the world’s most challenging problems. “CUDA-X HPC includes highly tuned kernels essential for high-performance computing. GPU-accelerated libraries for linear algebra, parallel algorithms, signal and image processing lay the foundation for compute-intensive applications in areas such as computational physics, chemistry, molecular dynamics, and seismic exploration.”

NVIDIA Brings CUDA to Arm for HPC

Today NVIDIA announced its support for Arm CPUs, providing the high performance computing industry a new path to build extremely energy-efficient, AI-enabled exascale supercomputers. “NVIDIA is making available to the Arm ecosystem its full stack of AI and HPC software — which accelerates more than 600 HPC applications and all AI frameworks — by year’s end. The stack includes all NVIDIA CUDA-X AI and HPC libraries, GPU-accelerated AI frameworks and software development tools such as PGI compilers with OpenACC support and profilers.”

Video: Simulating Planet-Wide Bioenergy and Human Health on the Summit Supercomputer

In this video from PASC19 in Zurich, Dan Jacobson from ORNL describes how researchers are using the #1 Summit supercomputer to tackle the challenges facing an ever-growing human population. These planet-wide simulations could not even have been attempted before the advent of pre-exascale systems like Summit.”We are using CoMet to investigate the genetic architectures underlying complex traits in applications from bioenergy to human clinical genomics.”

Supermicro steps up with NVIDIA EGX for AI on the Edge

Today Supermicro announced support for the NVIDIA EGX platform, allowing customers to rapidly develop AI applications in their Edge networks. “Enhancing our GPU servers and advanced platforms optimized for AI at the Edge technology with NVIDIA EGX and NGC provides a wide selection of optimized and efficient solutions for the intelligent Edge and for seamless integration from the Edge to the cloud.”

NEC Delivers HPC Cluster to RWTH Aachen University in Germany

Today NEC announced that RWTH Aachen University in Germany has started operations of a new HPC cluster. Called CLAIX-2018 the system augments the university’s existing CLAIX-2016 installation. “RWTH Aachen is one of the most renowned universities in Germany, and this project is a lighthouse project not only for the HPC datacentre, but also for NEC,” said Yuichi Kojima, Vice President HPC EMEA at NEC Deutschland.

Simplifying NVIDIA GPU Driver Deployment on Red Hat Linux

Over at the NVIDIA blog, Pramod Ramarao writes that NVIDIA and Red Hat have worked closely to improve the user experience when installing and updating NVIDIA software on RHEL, including GPU drivers and CUDA. “The NVIDIA / Red Hat partnership continues to grow and there are many integration efforts across Red Hat’s and NVIDIA’s product portfolios on projects as diverse as video drivers, heterogeneous memory management (HMM), KVM support for virtual GPUs, and Kubernetes.”

Cray to build Big Red 200 Supercomputer for Indiana University

Today Cray announced that Indiana University has selected a Cray Shasta supercomputing system to advance the use of AI across diverse research fields at the university. ” We’ve entered an age where AI is poised to transform the future of many industries–from healthcare to cybersecurity–and we’re confident the latest technology from Cray will meet our needs for a computing infrastructure that will build on the promise of AI in Indiana.”

Microway Deploys NVIDIA DGX-2 Supercomputer at Clemson University

Today Microway announced the company has shipped a NVIDIA DGX-2 supercomputer to Clemson University. “The NVIDIA DGX-2 delivers industry-leading 2 petaFLOPS of AI deep learning performance. The system harnesses the power of 16 NVIDIA Tesla V100 GPUs, fully interconnected with the enhanced-bandwidth NVIDIA NVLink interface to boost the speed of deep learning training.”

Video: Multi-GPU FFT Performance on Different Hardware Configurations

Kevin Roe from the Maui High Performance Computing Center gave this talk at the GPU Technology Conference. “We will characterize the performance of multi-GPU systems in an effort to determine their viability for running physics-based applications using Fast Fourier Transforms (FFTs). Additionally, we’ll discuss how multi-GPU FFTs allow available memory to exceed the limits of a single GPU and how they can reduce computational time for larger problem sizes.”

Video: The Kokkos C++ Performance Portability EcoSystem for Exascale

Christian Trott from Sandia gave this talk at the GPU Technology Conference. “The Kokkos C++ Performance Portability EcoSystem is a production-level solution for writing modern C++ applications in a hardware-agnostic way. We’ll provide success stories for Kokkos adoption in large production applications on the leading supercomputing platforms in the U.S. We’ll focus particularly on early results from two of the world’s most powerful supercomputers, Summit and Sierra, both powered by NVIDIA Tesla V100 GPUs.”