Daniel Lemire's blog – Daniel Lemire is a computer science profes...
Lemire. Daniel Lemire is a computer science professor at the Data Science Laboratory of the Université du Québec (TÉLUQ) in Montreal....
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Wall Street Journal, “Some of the scientists in this area very quickly closed ranks.” She added, “ There were people that did not talk about this, because they feared for their careers. They feared fo...
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Variable-length strings can be expensive – Daniel Lemire's blog
Related Posts: Sorting already sorted arrays is much faster? On the memory usage of maps in Java Faster dictionary decoding with SIMD instructions
Lemire.me news digest
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16 days
The PhD Paradox: A Journey into Academia’s Upside-Down World
Imagine a world where becoming a doctor isn’t about years of rigorous study, but about showcasing your life’s work. That’s how doctorates used to roll. You’d write a book, make a groundbreaking discovery, and voila, a doctorate was yours. Fast forward...
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18 days
Replace strings by views when you can
C++ programmers tend to represent strings using the std::string class. Though the implementation might vary, each instance of an std::string might use 32 bytes. Though it is not a large amount of memory, it can add up.
In the Node.js runtime, as part of the build tools, there is a function which precomputes the string representation of all 16-bit integers, followed by a comma.... -
25 days
Compressing floating-point numbers quickly by converting them to brain floats
We sometimes have to work a large quantity of floating-point numbers. This volume can be detrimental to performance. Thus we often want to compress these numbers. Large-language models routinely do so.
A sensible approach is to convert them to brain floating point numbers. These are 16-bit numbers that are often capable of representing accurately a wide range of numbers. Compared to the common 64-bit floating-point numbers, it is a net saving of 4... -
1 month
Parsing tiny and very large floating-point values: a programming-language compar...
Most programming languages support floating-point numbers. You typically have the ability to turn a string into a floating-point number. E.g., “3.1416” could be parsed as a number close to pi. However strings typically cannot be represented exactly or...
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