ExaTENSOR

Software · Thu Mar 21 00:00:00 EDT 2019

DOI:https://doi.org/10.11578/dc.20201001.83· OSTI ID:1546763 · Code ID:45756

Liakh, Dmytro ^[1]

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1. Oak Ridge National Laboratory

ExaTENSOR is a software math library for performing basic numerical tensor algebra operations on distributed heterogeneous HPC platforms. The library provides the following basic numerical tensor algebra primitives: tensor contraction, tensor product, tensor addition, tensor scaling by a scalar, etc. ExaTENSOR supports dense, block-sparse and hierarchical block-sparse tensors stored and processed across many heterogeneous HPC nodes (node equipped with NVIDIA GPU and Intel Xeon Phi have been considered so far). The architecture of ExaTENSOR is based on the concept of domain-specific virtual processor (DSVP), that is, an intermediate software layer capable of processing domain-specific instructions, in this case, numerical tensor algebra instructions. In this way, a separation of the domain-specific algorithm expression and hardware-agnostic algorithm execution is achieved, thus ensuring portability of the applications which use ExaTENSOR as a numerical backend.

• Short Name / Acronym: ExaTENSOR
• Project Type: Open Source, Publicly Available Repository
• Site Accession Number: 8086
• Software Type: Scientific
• License(s): GNU Lesser General Public License v3.0
• Programming Language(s): Fortran 2003; C/C++; gcc-8.1; intel-1.8; xl-16.1.1
• Research Organization: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
• Sponsoring Organization: USDOE

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  Primary Award/Contract Number:

  AC05-00OR22725
• DOE Contract Number: AC05-00OR22725
• Code ID: 45756
• OSTI ID: 1546763
• Country of Origin: United States