July 5, 2016
Seventy-one years ago, on July 16, 1945, an incredible explosion lit up the New Mexico night sky. This was the Trinity Test, the world’s first nuclear detonation, and it marked the beginning of the Nuclear Age. It also ushered in the age of supercomputers, which essentially began with weapons science at Los Alamos National Laboratory (LANL). Now a new Trinity, a next generation Cray XC supercomputer is about to take center stage to help the national security labs achieve their primary mission – to provide the nation with a safe, secure and effective nuclear deterrent. Read more…
March 14, 2016
At the 2016 ISC High Performance conference this June, distinguished Sandia computational combustion scientist Jacqueline H. Chen will deliver a keynote highlighting the latest advances in combustion modeling and simulation. In this interesting and informative Q&A, Chen describes the challenges and opportunities involved in preparing combustion codes for exascale machines. Read more…
August 17, 2015
What’s next for the National Strategic Computing Initiative? The HPC User Forum will start the process of answering that question by presenting the first publ Read more…
January 8, 2013
The National Energy Research Scientific Computing Center (NERSC) at Berkeley Lab has recently begun installing Edison, the Cray supercomputer that will exceed two peak petaflops when its fully deployed in a couple of months. But the center is already prepping for its next-generation system, which is expected to be an order of magnitude more powerful. That supercomputer may be the center's last big deployment prior to the exascale era. Read more…
October 29, 2009
A team of researchers from Oak Ridge National Laboratory, Georgia Tech, and Rutgers University developed the ADaptable I/O file System (ADIOS), an I/O middleware package that has shown great promise with leading fusion and astrophysics codes. Recently, ADIOS made its mark in the field of combustion. Read more…
Giving developers the ability to write code once and use it on different platforms is important. Organizations are increasingly moving to open source and open standard solutions which can aid in code portability. AMD developed a porting solution that allows developers to port proprietary NVIDIA® CUDA® code to run on AMD graphic processing units (GPUs).
This paper describes the AMD ROCm™ open software platform which provides porting tools to convert NVIDIA CUDA code to AMD native open-source Heterogeneous Computing Interface for Portability (HIP) that can run on AMD Instinct™ accelerator hardware. The AMD solution addresses performance and portability needs of artificial intelligence (AI), machine learning (ML) and high performance computing (HPC) for application developers. Using the AMD ROCm platform, developers can port their GPU applications to run on AMD Instinct accelerators with very minimal changes to be able to run their code in both NVIDIA and AMD environments.
A workload-driven system capable of running HPC/AI workloads is more important than ever. Organizations face many challenges when building a system capable of running HPC and AI workloads. There are also many complexities in system design and integration. Building a workload driven solution requires expertise and domain knowledge that organizational staff may not possess.
This paper describes how Quanta Cloud Technology (QCT), a long-time Intel® partner, developed the Taiwania 2 and Taiwania 3 supercomputers to meet the research needs of the Taiwan’s academic, industrial, and enterprise users. The Taiwan National Center for High-Performance Computing (NCHC) selected QCT for their expertise in building HPC/AI supercomputers and providing worldwide end-to-end support for solutions from system design, through integration, benchmarking and installation for end users and system integrators to ensure customer success.
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