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UID:pretalx-eu-summit-2026-3HRCLU@cfp.riscv-europe.org
DTSTART;TZID=CET:20260611T132000
DTEND;TZID=CET:20260611T133000
DESCRIPTION:We show how a processor with native extended floating point pre
 cision could be incorporated in algebraic subroutines in convex optimisati
 on\, namely in indirect matrix inversion methods like Conjugate Gradient\,
  which are used in Interior Point Methods in the case of very large proble
 m sizes. Also\, an estimate is provided of the expected acceleration of th
 e time to solution for a hardware running natively on extended precision. 
 Specifically\, when using indirect matrix inversion methods like Conjugate
  Gradient\, which have lower complexity than direct methods and are theref
 ore used in very large problems\, we see that increasing the internal work
 ing precision reduces the time to solution by a factor that increases with
  the system size.
DTSTAMP:20260522T163536Z
LOCATION:Poster Island A
SUMMARY:A RISC-V Accelerator for Convex Optimisation - David Herrera Marti
URL:https://cfp.riscv-europe.org/eu-summit-2026/talk/3HRCLU/
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