Abstract: State-of-the-art large data set high-precision sorting algorithms typically use hardware-accelerated radix sort. Advances in Dynamic Random Access Memory, Flash and High Bandwidth Memory ...

Propose the introduction of Radix Sort into TuGraph-Analytics to achieve improved sorting performance under specific data types and scales. The solution will dynamically select the optimal sorting ...

GPU-based sorting algorithms have emerged as a crucial area of research due to their ability to harness the immense parallel processing power inherent in modern graphics processing units. By ...

Astronomers use brokers to identify which signals to pursue in an endless stream of alerts. Looking up at the stars at night, it may not be obvious that the universe is constantly changing. But it is: ...

The original version of this story appeared in Quanta Magazine. Computer scientists often deal with abstract problems that are hard to comprehend, but an exciting new algorithm matters to anyone who ...

Is your feature request related to a problem? Please describe. I'm frustrated when sorting large datasets using comparison-based algorithms like Quick Sort or Merge Sort because they can have poor ...

Abstract: Generally, the single GPU computing method is utilized for the conventional radix sort algorithm based on GPU parallel computing. Nevertheless, as the data scale grows, the single GPU ...

Royalty-free licenses let you pay once to use copyrighted images and video clips in personal and commercial projects on an ongoing basis without requiring additional payments each time you use that ...