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UID:pretalx-eu-summit-2026-C8TUDR@cfp.riscv-europe.org
DTSTART;TZID=CET:20260609T155000
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DESCRIPTION:To achieve both high performance and productivity\, modern soft
 ware stacks rely on linear algebra libraries that encapsulate decades of o
 ptimization efforts. These libraries derive from empirical studies and ana
 lytical models developed primarily for high-end general-purpose systems\, 
 particularly the vector/SIMD extensions of x86-64 processors (e.g.\, SSE\,
  AVX\, and AVX-512). As a new and open-standard architecture\, RISC-V soft
 ware programming models target systems with unprecedent hardware diversity
  since pivotal extensions\, such as the RISC-V V\, may be realized on proc
 essors for domains ranging from edge to supercomputing. In this work\, we 
 advocate for flexible code generation tools to foster vendor-agnostic perf
 ormance on high-performance software stacks\, highlighting the most impact
 ful software-level performance optimizations on early RISC-V vector system
 s and our insights on how to handle them on the context of linear algebra 
 library development.
DTSTAMP:20260616T120148Z
LOCATION:Poster Island C
SUMMARY:High-performance code generation for early and future RISC-V vector
  systems - Alexandre de Limas Santana
URL:https://cfp.riscv-europe.org/eu-summit-2026/talk/C8TUDR/
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