Popular sorting algorithms do not translate well into hardware implementations. Instead, hardware-based solutions like sorting networks, systolic sorters, and linear sorters exploit parallelism to increase sorting efficiency. Linear sorters, built from identical nodes with simple control, have less area and latency than sorting networks, but they are limited in their throughput. We present a system composed of multiple linear sorters acting in parallel to increase overall throughput. Interleaving is used to increase bandwidth and allow sorting of multiple values per clock cycle, and the amount of interleaving and depth of the linear sorters can be adapted to suit specific applications. Contention for available linear sorters in the system is solved through the use of buffers that accumulate conflicting requests, dispatching them in bulk to reduce latency penalties. Implementation of this system into a field programmable gate array (FPGA) results in a speedup of 68 compared to a MicroBlaze processor running quicksort. © 2011 Jorge Ortiz and David Andrews.