Energy-Efficient Transprecision Techniques for Iterative Refinement

      Research output: Research - peer-reviewPoster

      Forthcoming

      View graph of relations

      This paper presents transprecision techniques for iterative refinement, which utilize various precision arithmetic dynamically according to numeric properties of the algorithm and computational latencies depending on precisions. The transprecision techniques were plugged into a mixed precision iterative refinement on an Intel Xeon E5-2650 2GHz core with MKL 2017 and XBLAS 1.0. The transprecision techniques brought further 2.0-3.4X speedups and 3.0-4.1X energy reductions to a mixed precision iterative refinement when double precision solution accuracy was required for forward error and a matrix size was ranged from 4K to 32K.
      Original languageEnglish
      StateAccepted - 01 Sep 2017
      EventSupercomputing'17 (SC17): International Conference on High Performance Computing, Networking, Storage and Analysis - Denver, United States
      Duration: 11 Nov 201717 Nov 2017

      Conference

      ConferenceSupercomputing'17 (SC17): International Conference on High Performance Computing, Networking, Storage and Analysis
      Abbreviated titleSC17
      CountryUnited States
      CityDenver
      Period11/11/201717/11/2017

        Research areas

      • transprecision, mixed precision, iterative refinement

      ID: 135660615