Google Cloud’s New TPU v4 ML Hub Packs 9 Exaflops of AI

May 16, 2022

Almost exactly a year ago, Google launched its Tensor Processing Unit (TPU) v4 chips at Google I/O 2021, promising twice the performance compared to the TPU v3. At the time, Google CEO Sundar Pichai said that Google’s datacenters would “soon have dozens of TPU v4 Pods, many of which will be... Read more…

Big Three Cloud Providers Halt New Business in Russia

March 10, 2022

Add Amazon Web Services to the growing list of companies (tech and otherwise) that are curtailing business with Russia in opposition to President Putin’s invasion of Ukraine. As reported in the New York Times and then by Amazon itself, Amazon Web Services is blocking new sign-ups from Russia and Belarus. Existing customers are not impacted. “We’ve suspended shipment of retail... Read more…

Q&A with Google’s Bill Magro, an HPCwire Person to Watch in 2021

June 11, 2021

Last Fall Bill Magro joined Google as CTO of HPC, a newly created position, after two decades at Intel, where he was responsible for the company's HPC strategy. Read more…

Google Cloud Nvidia A100 GPU A2 VM Instances Now Generally Available

March 19, 2021

Eight months after making its Nvidia A100 A2 VM cloud services available on Google Cloud as a beta service for customers, Google Cloud has announced that they a Read more…

AMD Partners Unveil Their Plans for Integrating New AMD Epyc CPUs in Servers, Services

March 18, 2021

Now that AMD unveiled its latest third-generation Epyc CPU product line for HPC, enterprise and cloud workloads on March 15, the company’s server and services partners continue to announce their own plans for bringing Epyc-equipped products to market. Read more…

Azure, Oracle Lead the Cloud Pack in Offering AMD’s 3rd Gen Epyc CPU

March 16, 2021

Microsoft Azure and Oracle Cloud Infrastructure (OCI) yesterday announced general availability (GA) of instances using AMD’s new third-generation Epyc (Milan) Read more…

New ASF Roundtable to Spotlight HPC’s Role in Fighting COVID-19

February 16, 2021

With the one-year mark of the pandemic in the U.S. rapidly approaching and vaccinations ramping up, decision-makers and stakeholders are beginning to look back Read more…

2020 HPCwire Awards Honor a Year of Remarkable COVID-19 Research

December 23, 2020

During SC20 in November, the HPCwire Readers’ and Editors’ Choice awards program celebrated its 17th year of honoring outstanding achievements in high-perfo 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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