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Everything about Computation offloading

Transfer of computational tasks to a separate processor or an external platform

Computation offloading is the transfer of resource intensive computational tasks to a separate processor, such as a hardware accelerator, or an external platform, such as a cluster, grid, or a cloud. Offloading to a coprocessor can be used to accelerate applications including: image rendering and mathematical calculations. Offloading computing to an external platform over a network can provide computing power and overcome a device's hardware limitations, such as limited computational power, storage, and energy. Wikipedia →

đź§­ Start here: a 6-step reading path

  1. Read the overview: Computation offloadingA 5-minute orientation
  2. Skim a recent paper: Deep Reinforcement Learning for Task Offloading in Mobile Edge Computing SystemsInfluential work since 2022
  3. Pick up a classic book: From mainframe to workstationsThe most-reprinted book on the subject
  4. Read the landmark paper: Mobile Edge Computing: A Survey on Architecture and Computation OffloadingCited 3,102 times
  5. Go sideways: CoprocessorA closely related topic
  6. Go sideways: Heterogeneous computingA closely related topic

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🏆 Landmark papers (most cited)

🆕 Influential since 2022

📚 Books worth reading

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

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