Memory-based computing (MBC) is promising for improving performance and energy efficiency in both data-and compute-intensive applications. In this paper, we propose a novel reconfigurable MBC framework for multicore architectures where each core uses caches for computation using Look Up Tables (LUTs). Experimental results demonstrate that on-demand memory-based computing in each core can significantly improve performance (up to 4.7X, 3.3X on average) as well as reduce energy consumption (up to 4.7X, 2X on average) in multicore architectures.