Nvidia Announces Database of 100K AI and HPC-enabled Brain Images

May 30, 2022

During a special address at ISC today, general manager and vice president of Accelerated Computing at Nvidia, Ian Buck, shared promising news for the future of Read more…

White House Scientific Integrity Report Addresses AI and ML Ethics

January 26, 2022

Earlier this month, the White House Office of Science and Technology Policy (OSTP) Scientific Integrity Task Force released a report titled “Protecting the In Read more…

Nvidia Rolls Out Certified Server Program Targeting AI Applications

January 26, 2021

Nvidia today launched a certified systems program in which participating vendors can offer Nvidia-certified servers with up to eight A100 GPUs. Separate support Read more…

Researchers Say It Won’t Be Possible to Control Superintelligent AI

January 11, 2021

Worries about out-of-control AI aren’t new. Many prominent figures have suggested caution when unleashing AI. One quote that keeps cropping up is (roughly) th Read more…

AI Partners Seek ‘Engine of Scientific Discovery’

December 16, 2020

A research effort built around an automation platform that connects data and analytics applications will focus on advancing the use of AI and machine learning i Read more…

The Present and Future of AI: A Discussion with HPC Visionary Dr. Eng Lim Goh

November 27, 2020

As HPE’s chief technology officer for artificial intelligence, Dr. Eng Lim Goh devotes much of his time talking and consulting with enterprise customers about Read more…

Inspur Establishes Artificial Intelligence (AI) Department

US Establishes 7 AI Research Institutes

August 27, 2020

The National Science Foundation this week announced the formation of seven national AI institutes aimed at advancing technological innovation and bolstering the economy. AI research by the National Science Foundation will expand to a broader range of businesses across the U.S. economy through five new NSF AI institutes being created at a cost of $100 million. Read more…

Graphcore Introduces Next-Gen Intelligence Processing Unit for AI Workloads

July 15, 2020

British hardware designer Graphcore, which emerged from stealth in 2016 to launch its first-generation Intelligence Processing Unit (IPU), has announced its nex 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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