Programming support for reconfigurable custom vector architectures

Abstract

High performance requirements increased the popularity of unconventional architectures. While providing better performance, such architectures are generally harder to program and generate code for. In this paper, we present our approach to ease programmability and code generation for such architectures. We present a domain specific language (DSL) for the programming part, and a constraint programming approach to scheduling with memory allocation. Our experiments on implementing a kernel extracted from a DSP application on an example reconfigurable custom architecture shows that it is possible to achieve performance close to hand-written machine code that is scheduled without memory allocation.