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Cornelis Networks Wins $18M NNSA Award to Advance Omni-Path
Intel spinoff Cornelis Networks, custodian and developer of the Omni-Path networking portfolio, is now closer to reaching its next-gen networking roadmap targets thanks to an R&D contract with th …
ACES ‘Composable’ Supercomputer Gets Ready for Phase One Use
Later this spring, ACES – the new ‘composable’ supercomputer being stood up at Texas A&M University – will begin granting Phase One access to early users. Unlike traditional systems, …
Nvidia Debuts Spectrum-4 Ethernet Platform with Eyes on the Enterprise
March 22, 2022
Amid the stream of news from GTC22 today was Nvidia’s launch of a new Ethernet networking platform – Spectrum-4 – and a new 51.2 terabit Spectrum-4 Ethern Read more…
15 Slides on Right and Wrong Ways to Program GPU-based US Leadership Supercomputers
March 2, 2022
U.S. leadership computers today are giant GPU-based machines, whether you’re talking about the pre-exascale Summit supercomputer in operation today at the Oak Read more…
HPE Slingshot Is Going Optical with Help from Ayar Labs
February 24, 2022
Technology heavyweight Hewlett Packard Enterprise and optical IO startup Ayar Labs have embarked on a strategic collaboration to advance silicon photonics in the datacenter and integrate optical IO into a future generation of HPE’s Slingshot interconnect. Optical-based interconnects are essential to overcoming the bandwidth, latency, power and distance... Read more…
Rockport Networks Names New Co-CEO as It Closes on $48M Funding Round
December 14, 2021
Rockport Networks, a new entrant in the HPC networking space with its switchless fabric offering, today announced the appointment of Marc Sultzbaugh to co-CEO. An active Rockport board member since December 2020, Sultzbaugh will lead the company alongside Rockport Networks Co-Founder and Co-CEO Doug Carwardine. Sultzbaugh previously spent 20 years at HPC networking company Mellanox... Read more…
SC21: Larry Smarr on The Rise of Supernetwork Data Intensive Computing
November 26, 2021
Larry Smarr, founding director of Calit2 (now Distinguished Professor Emeritus at the University of California San Diego) and the first director of NCSA, is one of the seminal figures in the U.S. supercomputing community. What began as a personal drive, shared by others, to spur the creation of supercomputers in the U.S. for scientific use, later expanded into a... Read more…
Faster Optical Switch that Operates at ‘Room Temp’ Developed by IBM, Skolkovo Researchers
October 19, 2021
Optical switching technology holds great promise for many applications but hot operating temperatures have been a key obstacle slowing progress. Now, a new opti Read more…
Quantum Networking and Clustering – What Is It? Why Should You Care? Who’s Aliro?
October 4, 2021
Taking those questions in reverse order, Aliro Quantum is a young Harvard lab spin-out seeking to deliver the quantum networking technology many believe is crit Read more…
Three Universities Team for NSF-Funded ‘ACES’ Reconfigurable Supercomputer Prototype
September 23, 2021
As Moore’s law slows, HPC developers are increasingly looking for speed gains in specialized code and specialized hardware – but this specialization, in turn, can make testing and deploying code trickier than ever. Now, researchers from Texas A&M University, the University of Illinois at Urbana... 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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Whitepaper: Porting CUDA Applications to Run on AMD GPUs
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