Editor’s Note

graph parallel genomics, theoretical as well as experimental research in parallel and distributed computing, refereed patent applications, about $3M external research and over $6M overall (NSF/NIH/GRA/Industry). Over the last 25+ years, he has researched on the paral- lel, distributed, and data intensive computing and systems. Over the few years his group has explored data intensive computation on Geospatial datasets over cloud, multicore, and GPU, leading to a parallel GIS system for overlay computation over polygonal data on each of these platforms (using Azure API, MPI, Hadoop, and CUDA), and a parallelized R-tree over GPUs. He has been honored as an ACM Distinguished Scientist in Fall 2013 for his research on parallel data structures and applications. He elected chair of IEEE Technical Committee on Parallel Processing for two terms (2007–2011), and its highest in 2012 IEEE TCPP Outstanding Service Award. Currently, he is leading the NSF/IEEE-TCPP curriculum initiative on parallel and distributed computing, in coordination with ACM/IEEE 2013 taskforce, with a vision to ensure that all computer science and engineering are well-prepared in parallelism through their core courses in this era of multi- and many-cores desk- tops and handhelds. is currently the Ofﬁce of Advanced Cyberinfrastructure (OAC) Learning and Workforce Development cluster, in coa-lescing its emerging research and education programs such as CAREER, CRII, REU sites, and STEM+C around translational cyberinfrastructure research agenda. has helped develop

Editor-in-Chief of IEEE Transactions on Parallel and Distributed Systems (TPDS). Thanks to the outstanding efforts of our associate editors, TPDS continues to be one of the healthiest IEEE Transactions. At the time of the writing of this editorial (May 2019) we had already received 1,398 submissions during my tenure, and we continue to process these submissions as efficiently and effectively as possible, while maintaining a rigorous process for evaluating the excellent research contributions in this area and the high quality of the journal.
As I have noted in the past, we are seeing rapid and often dramatic changes in the research and technology landscapes in our field, and TPDS needs to respond to this dynamic and rapidly evolving publication landscape. A key aspect in responding these changes is recruiting distinguished editorial board members who bring required expertise and experience. I would like to use this editorial to welcome our distinguished colleagues (listed below) who have joined the TPDS Editorial Board in the past year, and I would like to sincerely thank all our associate editors for their diligence, dedication and outstanding service to our community.
TPDS is committed to enabling reproducible research so that other researchers can validate published work and reach the same scientific conclusions, potentially using different datasets or methods. I would also like to use this opportunity to let you know that we will very soon be announcing the TPDS Reproducibility Initiative Pilot. Authors who have published in TPDS can make their published article more reproducible and earn a reproducibility badge by submitting their associated code for post-publication peer review. While the pilot will initially target previously published TPDS papers, we plan to expand it to include accepted papers in the near future. Please stay tuned for further details.
Finally, I would like to thank all of the authors who have submitted their manuscripts to TPDS, and to all of the peer reviewers for thorough evaluations of these works.
I hope you will continue to submit your best papers to TPDS! Manish Parashar, Editor-in-Chief

TPDS Associate Editor (2018-2019 Appointments)
Kirk W. Cameron is a professor of computer science and a research fellow with the College of Engineering at Virginia Tech, USA, where he directs the stack@cs Center for Computer Systems. He is also associate department head for Research and Advancement. The central theme of his research is to improve power and performance efficiency in high performance computing (HPC) systems and applications.
Chen Ding is a professor of computer science with the University of Rochester, USA. He has published extensively in the areas of programming languages, parallel computing, memory management, operating systems, and computer architecture, and serves regularly in conference committees in these areas.
Beniamino Di Martino is full professor with the University of Campania, Italy. His research interests include: high performance computing, parallelizing compilers, cloud computing, artificial intelligence and semantic web services. He has carried out theoretical as well as experimental research in parallel and distributed computing, resulting in 140+ refereed publications, several patent applications, and about $3M in external research funds as principal investigator and over $6M overall (NSF/NIH/GRA/Industry). Over the last 25+ years, he has researched on the parallel, distributed, and data intensive computing and systems. Over the past few years his group has explored data intensive computation on Geospatial datasets over cloud, multicore, and GPU, leading to a parallel GIS system for overlay computation over polygonal data on each of these platforms (using Azure API, MPI, Hadoop, and CUDA), and a parallelized R-tree over GPUs. He has been honored as an ACM Distinguished Scientist in Fall 2013 for his research on parallel data structures and applications. He was the elected chair of IEEE Technical Committee on Parallel Processing for two terms (2007)(2008)(2009)(2010)(2011), and received its highest honors in 2012 -IEEE TCPP Outstanding Service Award. Currently, he is leading the NSF/IEEE-TCPP curriculum initiative on parallel and distributed computing, in coordination with ACM/IEEE CS 2013 curriculum taskforce, with a vision to ensure that all computer science and engineering graduates are well-prepared in parallelism through their core courses in this era of multi-and many-cores desktops and handhelds. He is currently leading the Office of Advanced Cyberinfrastructure (OAC) Learning and Workforce Development cluster, in coalescing its emerging research and education programs such as CAREER, CRII, REU sites, and STEM+C around translational cyberinfrastructure research agenda. He has helped develop two new programs, CyberTraining and OAC Research Core, based on multidisciplinary community needs and national priorities such as National Strategic Computing Initiative (NSCI) Presidential Executive Order, July 2015.