The IEEE Transactions on Parallel and Distributed Systems (TPDS) is a monthly journal that publishes significant papers, reviews, and survey articles in the field of parallel and distributed systems research. The journal focuses on specific areas including: A) Parallel and distributed algorithms, emphasizing computational models, numerical, combinatorial, and data-intensive parallel algorithms, scalability of algorithms and data structures, communication and synchronization protocols, network algorithms, scheduling, and load balancing; B) Applications of parallel and distributed computing, including computational and data-supported science and engineering, big data applications, parallel crowdsourcing, large-scale social network analysis, big data management, cloud and grid computing, scientific and biomedical applications, mobile computing, and cyber-physical systems; C) Parallel and distributed architectures, covering instruction-level and thread-level parallel architectures, design and analysis of multiprocessor systems, fault tolerance and performance measurement, multicore processors, heterogeneous multicore systems, PETASCALE and EXASCALE system design, novel big data architectures, specialized architectures (including graphics processors, signal processors, network processors, media accelerators, etc.), network and interconnection architectures, parallel I/O and storage systems, memory hierarchies, energy-efficient and green computing architectures, reliable architectures, and performance modeling and evaluation; D) Parallel and distributed software, including parallel and multicore programming languages and compilers, runtime systems, operating systems, internet computing and web services, resource management (including green computing), middleware for grids, clouds, and data centers, libraries, performance modeling and evaluation, parallel programming paradigms, and programming environments and tools.