Tackling Real-Time Signal Processing Applications on Shared Memory Multicore Architectures Using XPU
Résumé
General-purpose shared memory multicore architectures are becoming widely available. They are likely to stand as attractive alternatives to more specialized processing architectures such as FPGA and DSP-based platforms to perform real-time digital signal processing. In this paper, we show how we can ease parallelism expression on shared memory multicore architecture through the XPU high-level programming model and we describe a parallel implementation of radar signal processing application. This study case shows how we can improve programmer productivity through easing parallel programming without sacrificing performances.