So far we’ve been sorting arrays of unsigned integers in JavaScript. This is useful at times. Sorting objects based on an embedded unsigned integer field is useful in many more cases. For instance, you have an array of objects, each holding a persons name and an id. Sorting this array by id’s using JavaScript’s built-in […]
Read more "Sorting Arrays of Objects in JavaScript with Radix Sort"JavaScript 2017 specification states the following about its built-in sorting, “The elements of this array are sorted. The sort is not necessarily stable (that is, elements that compare equal do not necessarily remain in their original order).” What’s a JavaScript programmer to do if a stable sort is needed? Good examples of stable and unstable sorting […]
Read more "Stable Sorting In JavaScript"Radix Sort is a high performance linear time sorting algorithm. Two variations of the algorithm exit: least significant digit (LSD), and most significant digit (MSD). Each of the two variations has its own attributes, benefits and drawbacks. Performance comparison for sorting arrays of random unsigned 32-bit integers can be seen in one of my previous […]
Read more "Radix Sort Implementations"JavaScript is taking over the world as the language of the web. When it comes to sorting, JavaScript is about 9 times slower than C++ and C#, but is slightly faster than Python 3.6, as I’ve shown in the previous post Sorting Speed of Several Languages. In this post, let’s explore the possibility of sorting faster in […]
Read more "Faster Sorting in JavaScript"The above graph compares performance of several different sorting algorithms implemented in C++. X-axis is the array size being sorted. Y-axis is the time in seconds it took to sort the array. The faster the algorithm, the less time it takes to sort. The above graph is for arrays filled with uniformly distributed random unsigned […]
Read more "C++ Sorting Algorithms"So far, we’ve measured performance of random number generators in software on a single CPU core, on multiple cores, on a powerful laptop, on a workstation, as well as on mobile and desktop graphics processors (GPU). Let’s compare them to each other, fair or not. The above graph shows the number of times each random […]
Read more "Performance Comparison of Random Number Generators"Intel’s 2017 MKL random number generator functions do not provide parallel functions, but provide mechanisms to support multi-threaded generation. Some of these algorithms are bound by memory performance and run significantly faster when the array fits in the processor cache. These algorithms should scale well running on multiple cores when each array fits in non-shared […]
Read more "CPU Parallel Random Number Generator"