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Adaptive packet processing on CPU-GPU heterogeneous platforms

Adaptive packet processing on CPU-GPU heterogeneous platforms

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Chapter Contents:

  • 10.1 Background on GPU computing
  • 10.1.1 GPU architecture
  • 10.1.2 Performance considerations
  • 10.1.3 CPU – GPU heterogeneous platforms
  • 10.2 Packet processing on the GPU
  • 10.2.1 Related work
  • 10.2.2 Throughput vs latency dilemma
  • 10.2.3 An adaptive approach
  • 10.2.4 Offline building of the batch-size table
  • 10.2.5 Runtime batch size selection
  • 10.2.6 Switching between batch sizes
  • 10.3 Persistent kernel
  • 10.3.1 Persistent kernel challenges
  • 10.3.2 Proposed software architecture
  • 10.4 Case study
  • 10.4.1 The problem of packet classification
  • 10.4.2 The tuple space search (TSS) algorithm
  • 10.4.3 GPU-based TSS algorithm
  • 10.4.4 TSS persistent kernel
  • 10.4.5 Experimental results
  • 10.5 Conclusion and future directions
  • References

Inspec keywords: Big Data; microprocessor chips; graphics processing units

Other keywords: GPUs; CPUs; graphics processing units; packet processing; Big Data; heterogeneous platforms

Subjects: Microprocessor chips; Data handling techniques

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