An asynchronous matrix-vector multiplier for discrete cosine transform

Abstract

This paper proposes an efficient asynchronous hardwired matrix-vector multiplier for the two-dimensional discrete cosine transform and inverse discrete cosine transform (DCT/IDCT). The design achieves low power and high performance by taking advantage of the typically large fraction of zero and small-valued data in DCT and IDCT applications. In particular, it skips multiplication by zero and dynamically activates/deactivates required bit-slices of fine-grain bit-partitioned adders using simplified, static-logic-based speculative completion sensing. The results extracted by both bit-level analysis and HSPICE simulations indicate significant improvements compared to traditional designs.