Reconfigurable STT-NV LUT-based functional units to improve performance in general-purpose processors

Unavailability of functional units is a major performance bottleneck in general-purpose processors (GPP). In a GPP with limited number of functional units while a functional unit may be heavily utilized at times, creating a performance bottleneck, the other functional units might be under-utilized. We propose a novel idea for adapting functional units in GPP architecture in order to overcome this challenge. For this purpose, a selected set of complex functional units that might be under-utilized such as multiplier and divider, are realized using a programmable look up table-based fabric. This allows for run-time adaptation of functional units to improving performance. The programmable look up tables are realized using magnetic tunnel junction (MTJ) based memories that dissipate near zero leakage and are CMOS compatible. We have applied this idea to a dual issue architecture. The results show that compared to a design with all CMOS functional units a performance improvement of 18%, on average is achieved for standard benchmarks. This comes with 4.1% power increase in integer benchmarks and 2.3% power decrease in floating point benchmarks, compared to a CMOS design.