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UID:pretalx-eu-summit-2026-ELYZEY@cfp.riscv-europe.org
DTSTART;TZID=CET:20260611T131000
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DESCRIPTION:As RISC-V "Vector" (RVV 1.0) architectures scale\, the Vector R
 egister File (VRF) becomes a primary bottleneck in area and power. This wo
 rk characterizes data residency and redundancy patterns in a distributed\,
  long-vector VRF using the gem5 simulator. We identify two primary ineffic
 iencies: resource fragmentation and an entropy-capacity mismatch in active
  data. Our evaluation of lightweight compression schemes reveals that a 2-
 entry dictionary-based approach consistently yields a 2.5x compression rat
 io of the computed vector elements. These results demonstrate that hardwar
 e-level data compaction is an interesting path for optimizing the area of 
 future long-vector RISC-V accelerators
DTSTAMP:20260522T163211Z
LOCATION:Poster Island C
SUMMARY:Towards Efficient Utilization of RISC-V Long Vector Register Files:
  A Characterization Study - Álvaro Moreno
URL:https://cfp.riscv-europe.org/eu-summit-2026/talk/ELYZEY/
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