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10/2/26, 9:00 AMAbstract
Traces and profiles produced by HPC tools such as Score-P and CUBE are essential for performance analysis and optimization. However, these datasets are rarely shared in a reusable form because important contextual information is often missing. Details about the hardware, software environment, application configuration, and scheduler settings are required to interpret and reproduce an...
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10/2/26, 9:30 AMAbstract
Performance optimization of scientific and high-performance computing (HPC) applications frequently introduces subtle behavioral changes that go unnoticed until they manifest as incorrect scientific results. Detecting whether such changes alter computed state, and precisely where in the code and iteration space a divergence first occurs, remains a largely manual and time-consuming...
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10/2/26, 10:00 AMAbstract
The increasing cost of new HPC systems and a growing demand for computing resources require existing systems to be operated for longer periods and at higher utilization levels. Consequently, efficient use of available resources is becoming increasingly important. While system-side optimizations such as improved scheduling and reduced downtime contribute to higher throughput, continuous...
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