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    "headline": "Ampere PMU Profiler Guides Microarchitecture Tuning",
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    "prose": "The Ampere PMU Profiler (APP) is a Python-based tool designed to provide deep insight into the microarchitectural behavior of applications running on Ampere CPUs, including Ampere Altra and AmpereOne. [^1]\n\nAMP will demonstrate its AI-powered Smart Sortation for municipal solid waste, engineered to typically deliver 60%+ diversion and 90%+ uptime. [^2]\n\nDennis Eagle and Terberg Matec UK will launch two new solutions for waste collection operations, including CrewSense AI and the ORUS 11 HD satellite RCV. [^3]\n\nScrapp will demonstrate how its platform helped a major NFL and FIFA World Cup 2026 stadium cut its waste bill by 22%, save over $300,000 (£222,160), and lift its recycling rate to 39.7% in a single year. [^4]\n\nA key outcome of APP is that it enables performance engineers to move from coarse symptoms to actionable causes, such as inefficient instruction fetching or data cache misses. [^5]\n\nUnlike standard profilers that identify where time is spent, the PMU Profiler explains why time is being spent by measuring low-level hardware events associated with the CPU pipeline and execution behavior. [^6]\n\nPöttinger will demonstrate falconic, its interactive digital platform for intelligent fleet management, allowing visitors to see real-time location, operating status, and fill level of a portable compactor fleet. [^7]\n\nUnderstanding hardware-level bottlenecks using APP is particularly necessary on Ampere platforms before applying targeted code optimizations. [^8]",
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