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Quantum Annealing Pioneer D-Wave Introduces Expanded Hybrid Solver
D-Wave Systems, a pioneer in quantum annealing-based computing, today announced significant upgrades to its constrained quadratic model (CQM) hybrid solver that should make it easier to use and a …
Dell, AMD, IBM, and Strangeworks Dig into Quantum’s Future
What’s the quantum computing fuss all about? Should you jump into the game or run as fast as you can away from it? A fascinating panel with committed quantum players, IBM and Strangeworks, and …
CEO Jack Hidary on SandboxAQ’s Ambitions and Near-term Milestones
October 18, 2022
Spun out from Google last March, SandboxAQ is a fascinating, well-funded start-up targeting the intersection of AI and quantum technology. “As the world enter Read more…
JPMorgan Chase Bets Big on Quantum Computing
October 12, 2022
Most talk about quantum computing today, at least in HPC circles, focuses on advancing technology and the hurdles that remain. There are plenty of the latter. F Read more…
Quantum Computing Needs More Public-Private Collaboration Says QED-C
October 4, 2022
Last week the Quantum Economic Development Consortium (QED-C) released a new report – Public-Private Partnerships in Quantum Computing – that calls for incr Read more…
HPC Career Notes: October 2022 Edition
October 3, 2022
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…
HPC + AI Wall Street to Feature ‘Spooky’ Science for Financial Services
September 18, 2022
Albert Einstein famously described quantum mechanics as "spooky action at a distance" due to the non-intuitive nature of superposition and quantum entangled par Read more…
Nvidia, Qualcomm Shine in MLPerf Inference; Intel’s Sapphire Rapids Makes an Appearance.
September 8, 2022
The steady maturation of MLCommons/MLPerf as an AI benchmarking tool was apparent in today’s release of MLPerf v2.1 Inference results. Twenty-one organization Read more…
HPC Career Notes: August 2022 Edition
August 5, 2022
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…
Nvidia Dives Deeper into Quantum, Announces QODA Programming Platform
July 12, 2022
GPU and accelerated-computing powerhouse Nvidia today announced a new programming platform – NVIDIA Quantum Optimized Device Architecture (QODA) – targeting development and management of applications run on hybrid classical-quantum systems. QODA joins cuQuantum, Nvidia’s quantum simulation SDK for use on GPU-accelerated systems. Unlike cuQuantum... 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 ROCmâ„¢ 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 Instinctâ„¢ 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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Whitepaper: QCT HPC BeeGFS Storage: A Performance Environment for I/O Intensive Workloads
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