FY18 Budget & CORAL-2 – Exascale USA Continues to Move Ahead

April 2, 2018

It was not pretty. However, despite some twists and turns, the federal government’s Fiscal Year 2018 (FY18) budget is complete and ended with some very positi Read more…

And So It Begins…Again – The FY19 Exascale Budget Rollout (and things look good)

February 23, 2018

On February 12, 2018, the Trump administration submitted its Fiscal Year 2019 (FY-19) budget to Congress. The good news for the U.S. exascale program is that th Read more…

Dealing with HPC Correctness: Challenges and Opportunities

January 25, 2018

Developing correct and reliable HPC software is notoriously difficult. While effective correctness techniques for serial codes (e.g., verification, debugging an Read more…

Tackling Power and Resilience at Exascale

July 21, 2015

Although the utility of FLOPS-driven benchmarks can make for interesting debate, the fact remains that major supercomputing milestones, like 1,000X performance Read more…

ROSE Framework Blooms Toward Exascale

February 12, 2015

One of the many ways that the Office of Advanced Scientific Computing Research (ASCR) supports the Department of Energy Office of Science facilities is by champ Read more…

Is US Falling Behind in Supercomputing and Exascale?

January 29, 2015

Few dispute the importance of supercomputing to U.S. competitiveness. The argument is around whether current government efforts – primarily through the Advanc Read more…

NERSC Highlights Exascale-Energy Connection

September 11, 2014

It's been almost six months since the National Energy Research Scientific Computing Center (NERSC) formally announced Cori, the new supercomputer set to be inst Read more…

DOE Highlights Exascale-Focused Research

August 7, 2014

Every year the Department of Energy Early Career Award provides outstanding scientists who are early in their careers with funding of at least $150,000 per ann Read more…

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Whitepaper

Porting CUDA Applications to Run on AMD GPUs

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.

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Sponsored by AMD

Whitepaper

QCT HPC BeeGFS Storage: A Performance Environment for I/O Intensive Workloads

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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Sponsored by QCT

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