Deep Dive Into the Architecture of a Pipeline Stage | Intel Software
27What good is a scheduler if it has only one task and if that one task goes waiting? If you hit a dependency with the current working set, you need to be able to work with “other ready” sets. For that, you first have to have “other sets” in the hopper. For DPDK packet processing, the key take away from this scheduler analogy of tasks to packets is that we need to fetch a bunch of packets rather than just one. The goal is to achieve parallelism with potentially many “working sets”, which also provides amortization of the overhead of I/O across multiple packets. Same as a scheduler, here the packet pipeline keeps going until it gets to a “waiting” or “dependency" condition. The need for data from memory can be considered the “heavy weight hammer”. Learn how to optimize packet processing with DPDK, using the "thirsty dinosaur" analogy.
To learn more about DPDK: http://bit.ly/2sWGR7T
Packet Framework section of DPDK Programmer’s Guide: http://bit.ly/2wEUwmI
Introduction to the Data Plane Development Kit (DPDK) Packet Framework: http://intel.ly/2wEDIfu
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Deep Dive Into the Architecture of a Pipeline Stage | Intel Software
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