A Performance Comparison of Sort and Scan Libraries for GPUs

Sorting and scanning are two fundamental primitives for constructing highly parallel algorithms. A number of libraries now provide implementations of these primitives for GPUs, but there is relatively little information about the performance of these implementations. We benchmark seven libraries for 32-bit integer scan and sort, and sorting 32-bit values by 32-bit integer keys. We show that there is a large variation in performance between the libraries, and that no one library has both optimal performance and portability.

• Type: Journal
• Year: 2016
• Where: CORR
• Authors: Bruce Merry
• Keywords: CORR 2016, Education