Knapp: A Packet Processing Framework for Manycore Accelerators

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High-performance network packet processing benefits greatly from parallel-programming accelerators such as Graphics Processing Units (GPUs). Intel Xeon Phi, a relative newcomer in this market, is a distinguishing platform because its x86-compatible vectorized architecture offers additional optimization opportunities. Its software stack exposes low-level communication primitives, enabling fine-grained control and optimization of offloading processes. Nonetheless, our microbenchmarks show that offloading APIs for Xeon Phi comes in short for combining low latency and high throughput for both I/O and computation. In this work, we exploit Xeon Phi's low-level threading mechanisms to design a new offloading framework, Knapp, and evaluate it using simplified IP routing applications. Knapp lays the ground for full exploitation of Xeon Phi as a packet processing framework.
Publisher
IEEE
Issue Date
2017-02-05
Language
English
Citation

3rd IEEE International Workshop on High-Performance Interconnection Networks in the Exascale and Big-Data Era, HiPINEB 2017

DOI
10.1109/HiPINEB.2017.8
URI
http://hdl.handle.net/10203/249971
Appears in Collection
CS-Conference Papers(학술회의논문)
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