The SIGHPC Big Data chapter was formed in July 2015 to share 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 attend the annual meeting at SC and join talks and learning activities via the internet.

Attending SC18?

Join us!! Our Third Annual SIGHPC-BigData Meeting and Presentation BOF is at SC18 on Wednesday, November 14, 2018 from 12:15 – 1:15 pm at Kay Bailey Hutchison Convention Center room D169.

Click here for SC18 BOF speakers and agenda.

Read more on the SC18 website…

To learn more about SIGHPC and ACM, just follow the links.