PsiQuantum’s Path to 1 Million Qubits

April 21, 2022

PsiQuantum, founded in 2016 by four researchers with roots at Bristol University, Stanford University, and York University, is one of a few quantum computing startups that’s kept a moderately low PR profile. (That’s if you disregard the roughly $700 million in funding it has attracted.) The main reason is PsiQuantum has eschewed the clamorous public chase for... Read more…

GlobalFoundries Has Started Its IPO Process – Here’s What’s Next

October 5, 2021

Since July, semiconductor maker GlobalFoundries has been the subject of rumors and news reports that said the company was the takeover target of market leader I Read more…

GlobalFoundries Reportedly Files for IPO, Countering Intel’s Acquisition Interest

August 19, 2021

In July, reports that Intel is pursuing a $30 billion acquisition of chip fab operation GlobalFoundries threw the chip market into a tizzy, with Intel declining Read more…

AMD, GlobalFoundries Commit to $1.6 Billion Wafer Supply Deal

May 13, 2021

AMD plans to purchase $1.6 billion worth of wafers from GlobalFoundries in the 2022 to 2024 timeframe, the chipmaker revealed today (May 13) in an SEC filing. In the face of global semiconductor shortages and record-high demand, AMD is renegotiating its Wafer Supply Agreement and bumping up capacity. Read more…

HPC Career Notes: November 2019 Edition

November 4, 2019

In this monthly feature, we’ll keep you up-to-date on the latest career developments for individuals in the high-performance computing community. Whether it Read more…

GlobalFoundries Drops 7nm Development Program

August 29, 2018

Under the new leadership of CEO Tom Caulfield, custom semiconductor manufacturer GlobalFoundries has announced the seemingly sudden decision to drop its 7nm FinFET development program and restructure its R&D teams to support what the company calls its “enhanced portfolio initiatives.” In part, this will result in a workforce reduction of approximately 5 percent (of roughly 18,000 employees), though GlobalFoundries said “a significant number of top technologists will be redeployed on 14/12nm FinFET derivatives and other differentiated offerings.” Read more…

GlobalFoundries, Ayar Labs Team Up to Commercialize Optical I/O

December 4, 2017

GlobalFoundries (GF) and Ayar Labs, a startup focused on using light, instead of electricity, to transfer data between chips, today announced they've entered in Read more…

GlobalFoundries Puts Wind in AMD’s Sails with 12nm FinFET

September 24, 2017

From its annual tech conference last week (Sept. 20), where GlobalFoundries welcomed more than 600 semiconductor professionals (reaching the Santa Clara venue 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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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.

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