Managing and processing large volumes of data, or “Big Data”, and gaining meaningful insights is a significant challenge facing the distributed computing community. This has significant impact on a wide range of domains including health care, bio-medical research, Internet search, finance and business informatics, and scientific computing. As data-gathering technologies and data-sources witness an explosion in the amount of input data, it is expected that in the future massive quantities of data in the order of hundreds or thousands of petabytes will need to be processed. International Workshop on High-Performance Big Data Computing (HPBDC), aims to bring HPC and Big Data processing into a ‘convergent trajectory’. The workshop provides a forum for scientists and engineers in academia and industry to present their latest research findings on major and emerging topics in this field. HPBDC 2017 will be held in conjunction with the 31st IEEE International Parallel and Distributed Processing Symposium (IPDPS 2017), Orlando, Florida USA, Monday, May 29th, 2017. Read more at http://web.cse.ohio-state.edu/~luxi/hpbdc2017/