During the 1980s the computers engineering and science reserach community generality ignored parallel processing. With a focus on high performance computing embodied in massive 1990s High Performance Computing and communications (HPCC) program that has the short-term, teraflop peak performance; goal using a network of thousands of computers, everyone with even passing interesst in parallelsm is involed with the massive parallelism " gold rush" . Funding-wise the situation is bright; applications-wise massive parallelism is microscopic. While there are several programming models, the mainline is data parallel fortran. However, new algorithms are required, negating the decades of progress in algorithms. Thus, utililty will do doubt be the achilles heal of massive parallelism