OneAPI computing goals to facilitate multi-infrastructure computing

Bilbao, Spain – On the European Open Supply Summit, the Linux Basis unveiled the creation of the Unified Accelerator (UXL) Basis. UXL is predicated on Intel’s open supply OneAPI initiative. The result’s a cross-industry initiative that helps an open commonplace accelerator programming mannequin. This mannequin paves the way in which for builders to create functions that work seamlessly throughout completely different system platforms.

how? By implementing oneAPI all over the place. OneAPI, because the title suggests, is about utilizing common utility programming interfaces (APIs) to develop parallel functions each time doable.

In doing so, the developer executes performance-critical code by utility programming interface (API) library calls. OneAPI defines a set of utility programming interfaces (APIs) for probably the most generally used information parallel domains, and OneAPI platforms present library implementations throughout varied accelerators. The place doable, the API is predicated on established requirements corresponding to Primary Linear Algebra Subroutines (BLAS).

OneAPI consists of a language and libraries for creating parallel functions. right here they’re:

  • SYCL: oneAPI core language for programming accelerators and multiprocessors. SYCL permits builders to reuse code throughout {hardware} targets (CPUs and accelerators corresponding to GPUs and FPGAs) and tune a particular structure.
  • OneDPL: A companion to the DPC++ compiler for programming oneAPI units with APIs from the C++ Normal Library, Parallel STL, and extensions.
  • OneDNN: Excessive-performance implementations of primitives for deep studying frameworks.
  • OneCCL: Communication necessities for scaling deep studying frameworks throughout a number of units.
  • Degree Zero: System interface to oneAPI languages ​​and libraries.
  • OneDAL: Algorithms to Speed up Knowledge Science.
  • OneTBB: A library for including thread-based parallelism to complicated functions on multiprocessors.
  • OneVPL: Algorithms to speed up video processing.
  • OneMKL: Excessive-performance mathematical routines for science, engineering, and finance functions.
  • Ray Tracing: A group of superior ray tracing and high-precision rendering and calculation routines to be used in varied 3D graphics functions, together with photorealistic visible results for movie, tv, animation rendering, scientific visualization, high-performance computing, gaming, and extra.

UXL comes by by buying each corporations and a variety of architectures, from CPU and GPU to FPGAs and accelerators, to help and help oneAPI.

OneAPI emblem

“The Unified Acceleration Basis is a testomony to the unbelievable potential of collaborative efforts and the open supply methodology,” Jim Zemlin, government director of the Linux Basis, mentioned in a press release. “By integrating the know-how giants and nurturing a unified growth ecosystem throughout platforms, we’re paving the way in which for unprecedented progress.” In data-driven efficiency and productiveness.

The group has acquired spectacular help from main international organizations, corresponding to Arm, Fujitsu, Google Cloud, Creativeness Applied sciences, Intel, Qualcomm Applied sciences, Inc., and Samsung. These rivals are united behind the aim of selling open supply collaboration and rising a unified programming mannequin throughout numerous architectures.

Rod Burns, vice chairman of ecosystem at Codeplay Software program and chair of the UXL Basis’s steering committee, shared the muse’s imaginative and prescient in a press launch: “We attempt to create probably the most expansive open ecosystem for accelerated computing. Our core contributions are rooted in open requirements and governance. Our overarching ambition is to nurture a platform Versatile, multi-vendor programming for all accelerators.

Robert Cohen, Intel and oneAPI specs editor, has drawn parallels with the transformative energy of open supply within the CPU area. “Simply as Linux and GNU revolutionized the CPU software program stack, I’m assured that the Unified Acceleration Basis will lay the muse for the following wave of knowledge and compute-intensive functions,” Cohn mentioned.

It should? we’ll see. As somebody who has witnessed many a multitude of parallel programming initiatives, I am excited in regards to the potentialities of a common, broadly supported API for a number of architectures. This might actually change how parallel computing is finished and make constructing profitable initiatives a lot simpler than up to now.

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