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Hold-out Digits experiments show that retaining the input mean or correcting the output bias improves median product error over round-to-nearest in all four tested bit-width and calibration-size settings.
This report synthesizes insights from the 2026 Workshop on Next-Generation Ecosystems for Scientific Computing into eight priorities for community action spanning shared research infrastructure, trust and traceability, user experience, human-AI teaming, workforce development, cross-sector coordination, stewardship and...
The problem of minimizing error in quantized matrix multiplication is considered and the full-gauge optimum is characterized and the cost of preserving row and column indices is quantized.
An exact finite-dimensional identity is derived for the expected squared product error under independent, zero-mean entrywise errors with known variance fields; it holds exactly for non-overloading subtractive dither and for independent stochastic rounding, and is empirically assess deterministic round-to-nearest (RTN)...
Kaizen, a metamorphic fuzzing and differential testing framework for evaluating the correctness of LLM-translated HPC code, is presented, revealing that compilation success is a poor proxy for correctness and full-program translation is substantially harder than kernel-level translation.
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