Decoupled Software Pipelining (DSWP) is one approach to automatically extract threads from loops. It partitions loops into long-running threads that communicate in a pipelined manner via inter-core queues. This work recognizes that DSWP can also be an enabling transformation for other loop parallelization techniques. This use of DSWP, called DSWP+, splits a loop into new loops with dependence patterns amenable to parallelization using techniques that were originally either inapplicable or poorly-performing. By parallelizing each stage of the DSWP+ pipeline using (potentially) different techniques, not only is the benefit of DSWP increased, but the applicability and performance of other parallelization techniques are enhanced. This paper evaluates DSWP+ as an enabling framework for other transformations by applying it in conjunction with DOALL, LOCALWRITE, and SpecDOALL to individual stages of the pipeline. This paper demonstrates significant performance gains on a commodity 8-core multicore machine running a variety of codes transformed with DSWP+.