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basesandframes.wordpress.com
| | orlp.net
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| | [AI summary] A deep dive into the complexities and pitfalls of comparing different numeric types (integers and floating-point) across various programming languages and the CPU architecture
| | pavpanchekha.com
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| | [AI summary] Pavel Panchekha explains the inherent floating-point inaccuracies when evaluating polynomials near their roots and discusses why the automated tool Herbie struggles to find more accurate implementations in such ill-conditioned cases.
| | pavpanchekha.com
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| | [AI summary] The article discusses the limitations of arbitrary precision arithmetic in avoiding floating point rounding errors and advocates for expression rearrangement as a more effective solution.
| | 6guts.wordpress.com
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| Finally, after consideringgathering dataandplanning what to optimize, it's time to look at how MoarVM's dynamic optimizer, "spesh", transforms code into something that should run faster. Specialization The name "spesh" is short for "specializer", and this nicely captures the overall approach taken. The input bytecode the optimizer considers is full of genericity, and an interpreter of...