Call for Papers: Special Section on Parallel and Distributed Computing Techniques for Non-Von Neumann Technologies

Traditional computing is heading increasingly into the memory wall, the power wall, the instruction-level-parallelism wall, and other performance limiters. This situation presents new opportunities for non-traditional computer architectures—neuromorphic, quantum, in-memory, and other approaches not based on the von Neumann architecture—to deliver the perpetually needed improvements in execution speed. For this special section of the IEEE Transactions on Parallel and Distributed Systems (TPDS), we will be accumulating recent community research in these areas, with a specific focus on parallel and distributed computing architectures, into a curated selection of articles.

About TPDS special sections

TPDS has recently started a new initiative called “special sections.” 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. This is the second such special section that we are planning.

Topics of interest

The special section is dedicated to novel, emerging, and promising parallel and distributed computing techniques for non-von Neumann technologies. This includes all manner of radical new architectures, but not conventional accelerators, such as GPUs, FPGAs, and SIMD systems or ordinary CPUs embedded in various devices. Articles about software simulations and foundational models of such systems are welcome, but novel programming models designed for conventional hardware are likely to be deemed out of scope. Topics of interest include but are not limited to:

• Neuromorphic computing
• Biologically-inspired computing
• Quantum computing
• Annealing-based computing, both quantum and classical
• Memristor- and other emerging-device-based computing
• Approximate, probabilistic, and inexact computing
• In-memory processing and memory-based computing
• Analog computing
• Reversible computing
• DNA computing
• Thermodynamic computing
• Optical computing
• Chemical computing and chemical reaction networks
• Cellular computing
• Collision-based computing

Submission deadline: Sep 1, 2020

More info at https://www.computer.org/digital-library/journals/td/call-for-papers-special-section-on-parallel-and-distributed-computing-techniques-for-non-von-neumann-technologies