Intel Enables Faster HPC Code Modernization

April 16, 2018

Common programming model and suite of libraries speed advanced workloads

In today’s competitive marketplace, agile organizations wishing to remain ahead of their competitors must tap all the data available to them for better business insights and scientific breakthroughs. The greatest challenge no longer involves gathering relevant information, but rather, interpreting it. With massive and ever-growing data sets, organizations regularly lean on HPC hardware and software to extract meaningful information. Obtaining the right insights from analytics, deep learning, and other AI-driven solutions can drive innovative discoveries, accelerate business decisions, and bring products to market faster.

When planning for HPC system implementation and growth, many professionals think first of the hardware necessary to empower it. However, physical infrastructure represents just one piece of the puzzle. Non-optimized software can create bottlenecks that significantly hamper system performance in large-scale, multi-node systems. For this reason, taking a holistic “system-based” view of an HPC system represents a vital planning step. Organizations seeking HPC infrastructure which offers the best return on their investments should embrace an open, flexible platform offering extensive developer support and proven capability to scale. The system must be able to accommodate data-intense workloads today, and even larger tasks in the future.

For developers, embracing new architectures and programming environments can be a time-intensive and expensive proposition. Software developers must scrutinize and optimize HPC code for ideal performance. Intel’s HPC framework reduces the challenge of this task by supporting a common development model for improved code portability, plus a broad range of software tools to accelerate HPC application modernization initiatives. Intel’s suite of optimizations and libraries for popular AI frameworks include TensorFlow* Caffe*, Theano*, Torch*, and Neon*.

Supported by a broad software ecosystem, Intel’s HPC platform helps tackle the largest computing challenges by providing an ideal platform for modern developers:

  • Intel’s HPC foundation is built on open industry standards, providing broad support for commercial and open source applications and access to developer and user groups. Intel also contributes to open standards including OpenHPC*, OpenFabric*, Linux*, Lustre*, and other open source communities.
  • Intel architecture-based HPC platforms, including Intel® Xeon® Scalable processors and Intel® Xeon® Phi™ processors, facilitate code portability and a common programming model.
  • Intel® Parallel Studio XE 2017 provides a toolkit for the development of HPC applications, including performance optimization tools and libraries.
  • Intel® Math Kernel Library (Intel® MKL) supports code optimization for a variety of compilers, languages, operating systems, as well as linking and threading models.
  • Intel® Math Kernel Library for Deep Neural Networks (Intel® MKL-DNN) speeds deep learning frameworks on Intel architecture.
  • Intel Data Analytics Acceleration Library (Intel® DAAL) speeds big data and analytics workloads

These platform advancements combined help developers create and optimize applications for greater performance, scalability, and compatibility across HPC usage scenarios. To find out how Intel HPC technologies for HPC developers can speed your own organization’s path to exascale-capable computing, talk to your preferred provider or learn more at intel.com/hpc.

 

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