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UID:pretalx-eu-summit-2026-DVVW8V@cfp.riscv-europe.org
DTSTART;TZID=CET:20260610T110000
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DESCRIPTION:RISC-V–based processors and ML accelerators are increasingly 
 targeted for latency-sensitive domains such as automotive Software-Defined
  Vehicle platforms and edge systems\, where runtime observability is essen
 tial for performance validation and early fault diagnosis. Although RISC-V
  standardizes architectural and hardware performance monitoring counters\,
  raw cumulative snapshots do not directly provide window-level deltas or s
 treaming metrics required for real-time analytics. To bridge this gap\, we
  present a monitoring tool that implements a window-level telemetry pipeli
 ne to enable real-time observability. It converts cumulative counters into
  per-window delta values\, selects a curated metric set\, and computes der
 ived metrics. The resulting telemetry is recorded simultaneously as CSV an
 d structured logs (NDJSON) and streamed to external consumers via ZeroMQ f
 or runtime processing. The approach is validated using a cycle-level gem5 
 RISC-V simulation\, demonstrating 2–3 ms host-side processing per 10 ms 
 window with minimal overhead. The modular design incorporates a source-agn
 ostic acquisition layer\, allowing the input backend to be replaced by har
 dware performance counters with minimal changes to the core processing and
  output interfaces.
DTSTAMP:20260522T163242Z
LOCATION:Poster Island B
SUMMARY:Window-Level Telemetry for Runtime Performance and Reliability Moni
 toring in RISC-V Systems - Arda Öztürk
URL:https://cfp.riscv-europe.org/eu-summit-2026/talk/DVVW8V/
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