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Quantum-circuit Cutting Fills a Gaping Quantum Computing Hole

December 5, 2022

A universal quantum computer with a million qubits will solve a wide range of problems, but even then, offloading entire problems to a quantum circuit may not be the best use of resources. With that in mind, companies and researchers are paying more attention to the concept of quantum-circuit cutting, which breaks down large quantum circuits into smaller fragments for execution across... Read more…

IBM Quantum Summit: Osprey Flies; Error Handling Progress; Quantum-centric Supercomputing

December 1, 2022

Part scorecard, part grand vision, IBM’s annual Quantum Summit held last month is a fascinating snapshot of IBM’s progress, evolving technology roadmap, and Read more…

Dell, AMD, IBM, and Strangeworks Dig into Quantum’s Future

October 27, 2022

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 traditional computing powerhouses, Dell (systems) and AMD (chips), tackled this topic at the HPC + AI on Wall Street conference held earlier this... Read more…

IBM Reveals New Diamondback Tape Library Archival Storage

October 25, 2022

IBM has introduced a new high-density archival storage system, the IBM Diamondback Tape Library. Unveiled at the 2022 Open Compute Project Global Summit, the new storage solution is physically air-gapped, meaning data is stored as an isolated backup copy with no physical network connection. IBM says Diamondback provides a significantly... Read more…

IBM Study Charts Future of Superconducting-based Quantum Computing

October 19, 2022

Few companies have worked as long or as broadly to develop superconducting-based qubits and quantum computers as IBM. Last month IBM posted a perspective paper 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…

OpenCAPI to Be Folded into CXL

August 1, 2022

As the need for speed drives computational workloads, more standards organizations are coalescing around a standard called Compute Express Link – also known a Read more…

The Race to Ensure Post Quantum Data Security

July 21, 2022

Fault-tolerant quantum computers won’t exist for years – a decade is the most common estimate. When they do arrive, thanks to Shor’s now-famous algorithm, they will be able to crack the most widely-used encryption methods, which are based on factoring. Earlier this month, the National Institute of Standards and Technology (NIST) settled on four... Read more…

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Whitepaper

A New Standard in CAE Solutions for Manufacturing

Today, manufacturers of all sizes face many challenges. Not only do they need to deliver complex products quickly, they must do so with limited resources while continuously innovating and improving product quality. With the use of computer-aided engineering (CAE), engineers can design and test ideas for new products without having to physically build many expensive prototypes. This helps lower costs, enhance productivity, improve quality, and reduce time to market.

As the scale and scope of CAE grows, manufacturers need reliable partners with deep HPC and manufacturing expertise. Together with AMD, HPE provides a comprehensive portfolio of high performance systems and software, high value services, and an outstanding ecosystem of performance optimized CAE applications to help manufacturing customers reduce costs and improve quality, productivity, and time to market.

Read this whitepaper to learn how HPE and AMD set a new standard in CAE solutions for manufacturing and can help your organization optimize performance.

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Sponsored by HPE

Whitepaper

Porting CUDA Applications to Run on AMD GPUs

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 AMD

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