Overview
^^^^^^^^
-One of the benefits of FD.io VPP, is high performance on relatively low-power computing, this performance is based on the following features:
+One of the benefits of FD.io VPP is high performance on relatively low-power computing, this performance is based on the following features:
-* A high-performance user-space network stack designed for commodity hardware.
+* A high-performance user-space network stack designed for commodity hardware:
- L2, L3 and L4 features and encapsulations.
-* Optimized packet interfaces supporting a multitude of use cases.
+* Optimized packet interfaces supporting a multitude of use cases:
- - An integrated vhost-user backend for high speed VM-to-VM connectivity.
- - An integrated memif container backend for high speed Container-to-Container connectivity.
- - An integrated vhost based interface to punt packets to the Linux Kernel.
+ - An integrated vhost-user backend for high speed VM-to-VM connectivity
+ - An integrated memif container backend for high speed Container-to-Container connectivity
+ - An integrated vhost based interface to punt packets to the Linux Kernel
-* The same optimized code-paths run execute on the host, and inside VMs and Linux containers.
-* Leverages best-of-breed open source driver technology: `DPDK <https://www.dpdk.org/>`_.
-* Tested at scale; linear core scaling, tested with millions of flows and mac addresses.
+* The same optimized code-paths run execute on the host, and inside VMs and Linux containers
+* Leverages best-of-breed open source driver technology: `DPDK <https://www.dpdk.org/>`_
+* Tested at scale; linear core scaling, tested with millions of flows and mac addresses
These features have been designed to take full advantage of common micro-processor optimization techniques, such as:
-* Reducing cache and TLS misses by processing packets in vectors.
-* Realizing `IPC <https://en.wikipedia.org/wiki/Instructions_per_cycle>`_ gains with vector instructions such as: SSE, AVX and NEON.
-* Eliminating mode switching, context switches and blocking, to always be doing useful work.
-* Cache-lined aliged buffers for cache and memory efficiency.
+* Reducing cache and TLS misses by processing packets in vectors
+* Realizing `IPC <https://en.wikipedia.org/wiki/Instructions_per_cycle>`_ gains with vector instructions such as: SSE, AVX and NEON
+* Eliminating mode switching, context switches and blocking, to always be doing useful work
+* Cache-lined aliged buffers for cache and memory efficiency
Packet Throughput Graphs
^^^^^^^^^^^^^^^^^^^^^^^^
-These are some of the packet throughput graphs for FD.io VPP 18.04 from the CSIT `18.04 benchmarking report <https://docs.fd.io/csit/rls1804/report/>`_.
+These are some of the packet throughput graphs for FD.io VPP 18.04 from the CSIT `18.04 benchmarking report <https://docs.fd.io/csit/rls1804/report/>`_:
.. toctree::
Trending Throughput Graphs
^^^^^^^^^^^^^^^^^^^^^^^^^^
-These are some of the trending packet throughput graphs from the CSIT `trending dashboard <https://docs.fd.io/csit/master/trending/introduction/index.html>`_. **Please note that**, performance in the trending graphs will change on a nightly basis in line with the software development cycle.
+These are some of the trending packet throughput graphs from the CSIT `trending dashboard <https://docs.fd.io/csit/master/trending/introduction/index.html>`_. **Please note that**, performance in the trending graphs will change on a nightly basis in line with the software development cycle:
.. toctree::
The FD.io CSIT is implemented with below platforms:
-* - x86/64
-* - ARM-AArch64
+* x86/64
+* ARM-AArch64
- * - Huawei TaiShan 2280
- * - Marvell MACCHIATObin
+ * Huawei TaiShan 2280
+ * Marvell MACCHIATObin
-These are FD.io Continuous System Integration and Testing (CSIT)'s documentation links.
+These are FD.io Continuous System Integration and Testing (CSIT)'s documentation links:
* `CSIT Code Documentation <https://docs.fd.io/csit/master/doc/overview.html>`_
* `CSIT Test Overview <https://docs.fd.io/csit/rls1804/report/introduction/overview.html>`_
Code Review / vpp.git / blobdiff