TIM-8122 V1

Andelfinger, P., & Cai, W. (2022). Advanced tutorial: Parallel and distributed methods for scalable discrete simulation [Paper]. 2022 Winter Simulation Conference (WSC), 2022, 268–282. https://doi.org/10.1109/WSC57314.2022.10015291
This paper discusses the fundamentals of parallel and distributed computing algorithms, including examples and applications across the industry.

Perumalla, K., Bremer, M., Brown, K., Chan, C., Eidenbenz, S., Hemmert, K. S., Hoisie, A., Newton, B., Nutaro, J., Oppelstrup, T., Ross, R., Schordan, M., & Urban, N.. Computer Science Research Needs for Parallel Discrete Event Simulation (PDES). https://doi.org/10.2172/1889525
This paper is a report from DOE providing the outcome of a 2022 meeting between several industry subject matter experts and the Department of Energy on parallel discrete event simulation (PDES).

Parekh, R., Ricciardi, A., Darwish, A., & DiAdamo, S. (2021). Quantum algorithms and simulation for parallel and distributed quantum computing [Paper]. 2021 IEEE/ACM Second International Workshop on Quantum Computing Software (QCS), 9–19.
Quantum computing introduces new challenges in parallel and distributed computing; in this paper, the author discusses a few research challenges.

Naik, D., Ramesh, D., Gandomi, A. H., & Babu Gorojanam, N. (2022). Parallel and distributed paradigms for community detection in social networks: A methodological review. Expert systems with applications, 187. https://doi.org/10.1016/j.eswa.2021.115956
This article introduces various algorithms.

Ng, J. S., Lim, W. Y. B., Luong, N. C., Xiong, Z., Asheralieva, A., Niyato, D., Leung, C., & Miao, C. (2021). A comprehensive survey on coded distributed computing: Fundamentals, challenges, and networking applications. IEEE Communications Surveys & Tutorials, 23(3), 1800–1837. https://doi.org/10.1109/COMST.2021.3091684
The authors in this article tackle the topics around the fundamentals of distributed computing, while discussing the challenges it presents, and finally, discussing the networking applications.

Alexey Lastovetsky & Ravi Reddy Manumachu. (2023). Energy-efficient parallel computing: Challenges to scaling. Information, 14(248), 248–248. https://doi.org/10.3390/info14040248
Parallel computing faces challenges in the supercomputing era, and the author discusses the challenges of scaling these solutions.

Ciccozzi, F., Addazi, L., Asadollah, S. A., Lisper, B., Masud, A. N., & Mubeen, S. (2023). A comprehensive exploration of languages for parallel computing. ACM Computing Surveys, 55(2), 1–39. https://doi.org/10.1145/3485008
The author explores various languages used in parallel computing.