Realistic models of the natural world often require large computer models, commonly addressed using high-performance computing (HPC) with supercomputers – the subject of much of this RMACC Symposium. However, many large models are better suited for the complimentary approach of high-throughput computing (HTC). Problems suited for HTC are those that, when broken down to their component parts, have computational requirements small enough to fit on a standard desktop computer but where a very large number of runs of those component parts are needed (for example, Monte Carlo analysis or genome mapping using Grid computing). Or put another way, HPC problems can be addressed using one very large run, where HTC problems require many runs to be fully answered. Computational capabilities of desktop computers have greatly increased over the last three decades – including multiple cores on a single CPU. Such advances present new opportunities for solving societal problems using HTC approaches. This workshop will cover the elements of an HTC problem, examples of open-source HTC software, and demonstration of an HTC run.