The past few years have seen remarkable changes in parallel programming models, tools and techniques. In recognition of these changes, IEEE Transactions on Parallel and Distributed Systems (TPDS) has inaugurated a new initiative called “Special Sections” targeting emerging new computing technologies. Compared with regular submissions to TPDS, special sections have some differences: (1) submissions are focused on special topics of interest similar to special issues; (2) special sections have fixed deadlines for submission and notifications; and (3) special sections have a standing committee of reviewers similar to conferences.
Pavan Balaji, a computer scientist in the Mathematics and Computer Science Division at Argonne National Laboratory, has been named Associate Editor in Chief of Special Sections.
“I am excited to see the TDPS special sections move ahead under Pavan’s leadership. These special sections will allow the journal to quickly respond to the rapidly evolving research landscape and to ensure that important state-of-the art research is published in a timely manner,” said Manish Parashar, IEEE TPDS Editor in Chief.
The journal anticipates having three to four special sections per year, each with three to four articles. The first area targeted is parallel and distributed computing techniques for artificial intelligence, machine learning, and deep learning.
“These new Special Sections will enable TPDS to publish refereed material in some of the most dynamic and critical areas of the field,” Balaji said. “By ensuring a rapid turnaround from paper submission to publication, we can keep researchers abreast of the state of the art in key areas,” Balaji said. He noted that other planned topics include carbon-neutral computing and post-Moore techniques, which would be coming out soon.
For further information on the Special Sections initiative, click here.