Intel and Google Cloud companies optimize performance for HPC workloads with the new Cloud HPC Toolkit
Intel (here for more info) e Google (here for more info) are collaborating to bring forward theHigh Performance Computing (HPC) on Google Cloud with the release of Cloud HPC Toolkit. This new resource provides access to Intel oneAPI Base and HPC Toolkit tools for optimizing performance via Intel Select Solutions for Simulations & Modeling. These new tools improve build times, speed of results, and offer multi-vendor acceleration in SYCL.
Using the Cloud HPC Toolkit with an Intel Select Solutions for Simulations & Modeling project offers the added benefit of automatically starting a hardware-software configuration. This, of course, has been rigorously tested and optimized for real-world performance, taking the guesswork out,
he has declared Ilias KatsardisHPC solution manager, Google.
Intel supports an open ecosystem to drive industry-wide innovation. Businesses and research organizations are eager to embrace cloud computing to expand computing capacity and access the latest technologies for large and complex projects. Despite the desire to build robust HPC environments in the cloud, many face challenges by overcoming unknown concepts and tools. As a result, demanding workloads and applications are slow to implement, encounter software incompatibilities, and exhibit poor performance.
Intel Select Solutions for Simulations & Modeling also provides access to tools including Intel MPI Library and Intel oneAPI Math Kernel Library via Spack Package Manager. A popular software creation and distribution platform. The culmination of the work between Intel and Google helps make HPC easier and more turnkey for the users of this community.
Integrated Intel oneAPI tools support the open standards needed by HPC developers, including C++, SYCL, Fortran, OpenMP, MPI and Python. They deliver productive performance across multiple CPU and GPU architectures using a single code base. The Cloud HPC Toolkit with Intel Select Solutions was developed using 2nd Generation Intel Xeon Scalable processors. It allows users to simplify the configuration and deployment of HPC workloads and to optimize performance in the real world. Intel’s continued collaboration with Google supports these projects, offering more automated, intuitive, and compatible solutions that enable users to quickly meet growing performance demands.
How Intel and Google built on previous success: In August 2021, Intel announced a collaboration with Google that used the image HPC VM by Google and the specification Intel Select Solutions for Simulation & Modeling to automate the creation of Intel Select Solution compliant HPC clusters on Google Cloud. Previously, Google partnered with Intel to extend the capabilities of its CentOS-based VM image for HPC with the Intel HPC Platform specification, which made Intel’s software optimizations for Intel Xeon Scalable Processors readily available for running user applications. on Google Cloud.
Intel is extending open programming solutions to cloud environments to drive industry innovation and the adoption of new CPU e GPU HPC as soon as they are available. As the demand for high-performance storage in HPC increases, so does the need for DAMAGE (Distributed Asynchronous Object Storage). As the foundation of Intel’s exascale storage stack, DAOS is an open source software-defined scale-out object store that provides high-bandwidth, low-latency, high-I / O I / O per second to HPC applications. . With this announcement, features for DAOS are now hosted in the Cloud HPC Toolkit for a fully automated user experience.
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