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UID:pretalx-eu-summit-2026-D3TVFS@cfp.riscv-europe.org
DTSTART;TZID=CET:20260611T164500
DTEND;TZID=CET:20260611T170000
DESCRIPTION:Computational Fluid Dynamics (CFD) relies heavily on the effici
 ency of linear solvers based on sparse linear algebra kernels. Widely used
  frameworks like OpenFOAM exploit parallelism primarily at the domain deco
 mposi-tion level via MPI. Support for vector/SIMD architectures is limited
  to compiler auto-vectorization. Furthermore\, support for such architectu
 res is limited by OpenFOAM’s internal matrix data format\, which is intr
 insically ill-suited for the contiguous memory accesses required for effic
 ient execution on vector processors. In this work\, we focused on two very
  different RISC-V architectures: the prototype long-vector EPAC accelerato
 r and the commercial short-vector CPU Sophon SG2044. On these platforms\, 
 we optimized the Sparse Matrix-Vector multiplication (SpMV) using RISC-V v
 ector intrinsics and integrated it into a custom smoother\, performing a r
 untime conversion of internal data into a vector-friendly format. Experime
 ntal results on the EPAC test chip show a 6× speedup for the smoother\; b
 enchmarks on Monte Cimone (MCv2) cluster with the Sophon SG2044 processor 
 achieve a 1.5× smoother speedup\, proving that legacy CFD codes can be ef
 fectively accelerated on both research and commercial emerging hardware.
DTSTAMP:20260522T162735Z
LOCATION:Plenary
SUMMARY:Accelerating Sparse Linear Solvers in OpenFOAM using RISC-V Vector 
 Extensions - Gabriele Ceccolini
URL:https://cfp.riscv-europe.org/eu-summit-2026/talk/D3TVFS/
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