The field of High-Performance Computing (HPC) is experiencing significant advancements in benchmarking and performance analysis. Researchers are developing innovative methods to reduce the computational cost of benchmarks while maintaining ranking stability, and new frameworks are being proposed to enable portable and efficient sampling across simulators and real hardware. The integration of cutting-edge technologies, such as exascale supercomputers and novel storage solutions, is also accelerating scientific discovery. Noteworthy papers include:

• Nugget, a flexible framework for portable sampling that cuts interval-analysis cost by orders of magnitude.
• BISection Sampling, a novel approach for reducing benchmarks while maintaining stable rankings, which reduces computational cost by up to 99%.
• Aurora, Argonne's pioneering Exascale supercomputer, which leverages Intel's oneAPI programming environment and integrates the Distributed Asynchronous Object Storage (DAOS) solution.