Although Moore's Law continues to hold at present, Moore's Dividend - where software developers could rely on increasingly faster CPUs to make their software faster - has expired [5]. Instead of manufacturing uni-core CPUs with faster clocks, hardware manufacturers are producing multi-core CPUs, and many-core CPUs (with 32 or more cores) have begun appearing. Traditional sequential applications will not take advantage of these new hardware capabilities, and thus will not run any faster. To gain performance on these new and future hardware platforms, applications must be designed and written in pieces that run simultaneously on different cores. Ideally, the performance of such parallel applications should scale as the number of available cores increases.

In 2002, we first brought High Performance Computing (HPC) methods to the college classroom as a way to enrich Computational Science education. Through the years, we have continued to facilitate college faculty in science, technology, engineering, and mathematics (STEM) disciplines to stay current with HPC methodologies. We have accomplished this by designing and delivering faculty workshops, hosted in a variety of lab settings, as well as by developing tools supporting the technical infrastructure necessary for HPC education, all this without requiring access to traditional HPC computing platforms. In all, we have so far presented 16 professional development workshops for close to 400 predominantly undergraduate STEM faculty. This paper presents the result of internal formative evaluation by workshop instructors and the materials and tools developed during that process.We did this work as part of the National Computational Science Institute (NCSI) and in collaboration with the following groups: