Everything about Concurrent computing

🧭 Start here: a 6-step reading path

1. Read the overview: Concurrent computingA 5-minute orientation
2. Skim a recent paper: Decentralized Scheduling for Concurrent Tasks in Mobile Edge Computing via Deep Reinforcement LearningInfluential work since 2022
3. Pick up a classic book: DogfightThe most-reprinted book on the subject
4. Read the landmark paper: Highly concurrent computing structures for matrix arithmetic and signal processingCited 210 times
5. Go sideways: Parallel programming modelA closely related topic
6. Go sideways: Data parallelismA closely related topic

🏆 Landmark papers (most cited)

• Highly concurrent computing structures for matrix arithmetic and signal processing

  Ahmed, Delosme, Morf · 1982 · Computer · 210 citations

• The PVM concurrent computing system: Evolution, experiences, and trends

  V.S Sunderam, G.A Geist, J Dongarra · 1994 · Parallel Computing · 180 citations

• Fault-tolerant matrix arithmetic and signal processing on highly concurrent computing structures

  Jing-Yang Jou, J.A. Abraham · 1986 · Proceedings of the IEEE · 177 citations

• Network‐based concurrent computing on the PVM system

  G. A. Geist, V. S. Sunderam · 1992 · Concurrency: Practice and Experience · 156 citations

• Resource Allocation in IoT Edge Computing via Concurrent Federated Reinforcement Learning

  Zhu Tianqing, Wei Zhou, Dayong Ye · 2022 · IEEE Internet of Things Journal · 98 citations

• Concurrent Subspace Optimization Using Design Variable Sharing in a Distributed Computing Environment

  Brett A. Wujek, John E. Renaud, Stephen M. Batill · 1996 · Concurrent Engineering · 72 citations

• Abstraction and modularity mechanisms for concurrent computing

  G. Agha, S. Frolund, W.Y. Kim · 1993 · IEEE Parallel & Distributed Technology: Systems & Applications · 52 citations

• Delay-aware concurrent data management method for IoT collaborative mobile edge computing environment

  B.C. Kavitha, R. Vallikannu, K. Sakthidasan Sankaran · 2020 · Microprocessors and Microsystems · 31 citations

🆕 Influential since 2022

• Decentralized Scheduling for Concurrent Tasks in Mobile Edge Computing via Deep Reinforcement Learning

  Ye Fan, Jidong Ge, Sheng Zhang · 2024 · IEEE Transactions on Mobile Computing · 49 citations

• Computing hemodynamic response functions from concurrent spectral fiber-photometry and fMRI data

  Tzu-Hao Harry Chao, Wei-Ting Zhang, Li-Ming Hsu · 2022 · Neurophotonics · 20 citations

• Communication-Dependent Computing Resource Management for Concurrent Task Orchestration in IoT Systems

  Qiaomei Han, Xianbin Wang, Weiming Shen · 2024 · IEEE Transactions on Mobile Computing · 8 citations

• Transactional Services for Concurrent Mobile Agents over Edge/Cloud Computing-Assisted Social Internet of Things

  Ahmad Al-Qerem, Ali Mohd Ali, Shadi Nashwan · 2023 · Journal of Data and Information Quality · 8 citations

• Association between different sensory modalities based on concurrent time series data obtained by a collaborative reservoir computing model

  Itsuki Kanemura, Katsunori Kitano · 2023 · Scientific Reports · 7 citations

📚 Books worth reading

• DogfightFred Vogelstein · 2013
• World War 3.0Ken Auletta · 2001
• 📕Bi-Level Integrated System Synthesis (BLISS)Jaroslaw Sobieszczanski-Sobieski · 1998
• 📕Strategies for concurrent processing of complex algorithms in data driven architecturesJohn W. Stoughton · 1987
• Java Concurrency in PracticeBrian Goetz, Joshua Bloch · 2006
• Parallel And Concurrent Programming In HaskellSimon Marlow · 2013
• Concurrent systemsJean Bacon, J. Bacon · 1993
• I-DEAS Student GuideSDRC · 2001

Ranked by number of editions on Open Library, a rough measure of how lasting a book is.

🔗 Related topics

• Parallel programming model In computing, a parallel programming model is an abstraction of parallel computer architecture, with which it is convenient to express algorithms and their…
• Data parallelism Data parallelism is parallelization across multiple processors in parallel computing environments. It focuses on distributing the data across different…
• Parallel computing Parallel computing is a type of computation in which many calculations or processes are carried out simultaneously. Large problems can often be divided…
• Task parallelism Task parallelism (also known as function parallelism and control parallelism) is a form of parallelization of computer code across multiple processors…
• Automatic parallelization Automatic parallelization, also auto-parallelization or autoparallelization, is a compiler optimization in which a compiler or other software tool transforms…
• Distributed computing Distributed computing is a field of computer science that studies distributed systems, defined as computer systems whose inter-communicating components…
• Single program, multiple data In computing, single program, multiple data (SPMD) is a term that has been used to refer to computational models for exploiting parallelism whereby multiple…
• Join-pattern Join-patterns provides a way to write concurrent, parallel and distributed computer programs by message passing. Compared to the use of threads and locks…