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UID:pretalx-eu-summit-2026-QUURJD@cfp.riscv-europe.org
DTSTART;TZID=CET:20260609T111000
DTEND;TZID=CET:20260609T112000
DESCRIPTION:Pairwise sequence alignment is a key component of many bioinfor
 matics workflows and is often a performance bottleneck. Recent advances in
  sequencing technologies have improved accuracy\, while also increasing th
 e need for accelerators that can efficiently handle long reads. Myers’ b
 it-vector algorithm is well suited to acceleration\, and AVX-512 has enabl
 ed high-performance implementations\, such as SeqMatcher. However\, these 
 solutions rely on a fixed register width and AVX-512-specific instructions
 \, which creates a scalability ceiling and limits portability. We implemen
 t Myers’ algorithm using RISC-V Vector (RVV) intrinsics and focus on the
  addition step\, which we identify as the main bottleneck in our vectorize
 d kernel. We evaluate two RVV addition alternatives across LMUL values and
  dataset sizes on a Banana Pi and find that the iterative carry-propagatio
 n variant achieves up to 10.29x speedup over the scalar baseline.
DTSTAMP:20260522T162432Z
LOCATION:Poster Island C
SUMMARY:Accelerating Myers’ Bit-Vector Alignment With RISC-V Vector Intri
 nsics - Elena Espinosa
URL:https://cfp.riscv-europe.org/eu-summit-2026/talk/QUURJD/
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