The SIGHPC Big Data chapter was formed in July 2015 and has as its purpose the sharing of best practices in High Performance Computing (HPC) Big Data solutions. In particular the chapter objectives include:
- Providing a means of communication and collaboration among individuals having an interest in the convergence between HPC and Big Data, in order to exchange ideas and best practices
- Promoting the parallelization of state-of-the-art big data analytics frameworks to use HPC platforms efficiently and the adaptation of common software stacks
- Promoting the development of new tools for data intensive supercomputing
- Promoting the use of HPC and Big Data technologies in commercial analytics
To encourage worldwide membership, SIGHPC Big Data is established as a virtual chapter. Members will be able to attend talks and learning activities via internet.