Intel and Google provide optimised solution for HPC workloads

Intel and Google are working together to drive high-performance computing forward on Google Cloud with the release of the Cloud HPC Toolkit. This new resource provides access to tools from the Intel oneAPI Base and HPC Toolkits—including Intel MPI Library and Intel oneAPI Math Kernel Library—to optimise performance through Intel Select Solutions for Simulations & Modeling. These new tools improve compile times and speed of results and offer multi-vendor acceleration in SYCL.

Why it’s important

In a nutshell, the new Toolkit simplifies the adoption of robust high-performance cloud computing by removing the challenges inherent in overcoming unfamiliar development concepts and tools. These can result in slow deployment for demanding workloads, software incompatibilities, and subpar performance.

“Using the Cloud HPC Toolkit with an Intel Select Solutions for Simulations & Modeling blueprint brings the added benefit of automatically spinning up a hardware-software configuration that has been rigorously tested and optimised for real-world performance, eliminating guesswork” – Ilias Katsardis – HPC Solution Lead, Google.

What’s next?

Intel is extending open programming solutions into cloud environments to help drive innovation across the industry and the adoption of new HPC CPU and GPU architectures as they become available. As demand for high-performance storage grows in HPC, so does the need for Distributed Asynchronous Object Storage (DAOS). As the foundation of the Intel exascale storage stack, DAOS is an open source software-defined scale-out object store that provides high-bandwidth, low-latency and high I/O operations per second storage containers to HPC applications. With this announcement, capabilities for DAOS are now hosted in the Cloud HPC Toolkit for a fully automated user experience.

Find out more

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