Imprecise data computation for high performance asynchronous processors

Instruction level parallelism (ILP) is strictly limited by various dependencies. In particular, data dependency is the major performance bottleneck of data intensive applications. To accelerate the execution of sequential code serialized due to data dependencies, this paper proposes an imprecise computation as a fast data computing technique for a high-performance asynchronous processor. To show the performance benefits of the suggested computing model, simulation results are presented. The imprecise computation can be used effectively in data intensive processing with a microprocessor, a digital signal processor or a multimedia processor.