/explore
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maksimkita.com | ||
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alexandrnikitin.github.io
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| | | | | Hoisting is a compiler optimization that moves loop-invariant code out of the loop. The post reveals hoisting in .NET and explains what code will be optimized and why. | |
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johnnysswlab.com
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| | | | | CPU dispatchingh is all about making your code portable and fast. We will talk about how to make your detect features your CPU has at is disposal and select the fastest function for that particular CPU without a need to recompile your software. | |
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bayesianneuron.com
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| | | | | [AI summary] The user has shared a detailed exploration of optimizing the 0/1 Knapsack problem using dynamic programming with Python and NumPy. They discuss various optimization techniques, including reducing memory usage with a 2-row approach, vectorization using NumPy's `np.where` for faster computation, and the performance improvements achieved. The final implementation shows significant speedups, especially for large-scale problems, and the user highlights the importance of vectorization and efficient memory management in computational tasks. | |
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www.morling.dev
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| | | Java 16 is around the corner, so there's no better time than now for learning more about the features which the new version will bring. After exploring the support for Unix domain sockets a while ago, I've lately been really curious about the incubating Vector API, as defined by JEP 338, developed under the umbrella of Project Panama, which aims at "interconnecting JVM and native code". Vectors?!? Of course this is not about renewing the ancient Java collection types like java.util.Vector (...... | ||
