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author | Mike Holmes <mike.holmes@linaro.org> | 2014-05-02 20:42:39 -0400 |
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committer | Maxim Uvarov <maxim.uvarov@linaro.org> | 2014-05-05 13:49:35 +0400 |
commit | e9464d9e3d4c008198cbf5eb728be54045aa4453 (patch) | |
tree | b5b7f746dd40ab93aa8fda6a79ae308f4003a732 /doc | |
parent | 1af6810622ab0c32336d14c840afd59c81e22a50 (diff) |
Documentation Split mainpage from headder
Signed-off-by: Mike Holmes <mike.holmes@linaro.org>
Diffstat (limited to 'doc')
-rw-r--r-- | doc/odp.dox | 255 |
1 files changed, 255 insertions, 0 deletions
diff --git a/doc/odp.dox b/doc/odp.dox new file mode 100644 index 000000000..328c7bb71 --- /dev/null +++ b/doc/odp.dox @@ -0,0 +1,255 @@ +/* Copyright (c) 2013, Linaro Limited + * All rights reserved + * + * SPDX-License-Identifier: BSD-3-Clause + */ + +/** + * @mainpage + * + * @section sec_1 Introduction + * + * OpenDataPlane (ODP) provides a data plane application programming + * environment that is easy to use, high performance, and portable + * between networking SoCs. This documentation is both a user guide + * for developers who wish to use ODP and a detailed reference for ODP + * programmers covering APIs, data structures, files, etc. It should + * also be useful for those wishing to implement ODP on other + * platforms. + * + * @image html overview.png + * + * ODP consists of a common layer and an implementation layer. + * Applications written to the common layer are portable across all + * ODP implementations. To compile and run an ODP application, it is + * compiled against a specific ODP implementation layer. The purpose + * of the implementation layer is to provide an optimal mapping of ODP + * APIs to the underlying capabilities (including hardware + * co-processing and acceleration support) of of SoCs hosting ODP + * implementations. As a bootstrapping mechanism for applications, as + * well as to provide a model for ODP implementers, ODP provides a + * 'linux-generic' reference implementation designed to run on any SoC + * which has a Linux kernel. While linux-generic is not a performance + * target, it does provide a starting point for ODP implementers and + * application programmers alike. As a pure software implementation + * of ODP, linux-generic is designed to provide best-in-class performance + * for general Linux data plane support. + * + * @section Staging + * + * ODP is a work in progress and is expected to evolve significantly + * as it develops. Since the goal of ODP is to provide portability + * across disparate platforms and architectures while still providing + * near-native levels of performance on each conforming + * implementation, it is expected that the ODP architecture and the + * APIs presented here will evolve based on the experience in + * implementing and tuning ODP for operation on multiple platforms. + * For the time being, then, the goal here is not so much as to + * present a stable API, but rather a usable one that can be built + * upon to reach a clearly defined end goal. + * + * ODP releases will follow a standard major/minor/revision + * three-level naming designation. The intent is that APIs will be + * stable across major revisions such that existing APIs will work + * unchanged within a major revision, though minor revisions may add + * new APIs. Across major revisions some API changes may make + * application source changes necesary. These will be clearly noted + * in the release notes associated with any given ODP release. + * + * This consistency will commence with the 1.0.0 release of ODP, which + * is expected later in 2014. Pre-release 1 it should be expected + * that minor revisions may require API source changes as ODP is still + * "growing its roots". This is release 0.1.0 of ODP and is being + * made available as a "public preview" to the open source community + * for comment/feedback/evaluation. + * + * @section contact Contact Details + * - The main web site is http://www.opendataplane.org/ + * - The git repo is https://git.linaro.org/lng/odp.git + * - Bug tracking https://launchpad.net/linaro-odp + * + * + * @section sec_2 User guide + * + * @subsection sub2_1 The ODP API + * + * This file (odp.h) is the main ODP API file. User should include only this + * file to keep portability since structure and naming of sub header files + * may be change between implementations. + * + * @subsection sub2_2 Threading + * + * ODP does not specify a threading model. Applications can use + * processes or pthreads, or Roll-Your-Own (RYO) threading/fibre + * mechanisms for multi-threading as needed. Creation and control of + * threads is the responsibility of the ODP application. For optimal + * performance on many-core SoCs, it is recommended that threads be + * run on dedicated cores. ODP provides high-level APIs for core + * enumeration and assignment while the corresponding ODP + * implementation layer provides the appropriate mechanisms to realize + * these functions. + * + * Threads used for ODP processing should be pinned into separate cores. + * Commonly these threads process packets in a run-to-completion loop. + * Application should avoid blocking threads used for ODP processing, + * since it may cause blocking on other threads/cores. + * + * @subsection sub2_3 ODP initialisation + * + * Before calling any other ODP API functions, ODP library must be + * initialised by calling odp_init_global() once and odp_init_local() + * on each of the cores sharing the same ODP environment (instance). + * + * @subsection sub2_4 API Categories + * + * APIs provided by ODP cover the following areas: + * + * @subsubsection memory_management Memory Management + * + * This includes macros and other APIs to control memory alignments + * of data structures as well as allocation/deallocation services + * for ODP-managed objects. Note that ODP does not wrapper malloc() + * or similar platform specific APIs for the sake of wrappering. + * + * @subsubsection buffer_management Buffer Management + * + * This includes APIs for defining and managing buffer pools used + * for packets and other bulk purposes. Note that the allocation + * and release of buffers from buffer pools is not something done + * explicitly by ODP applications, but rather by APIs that use these + * buffers. This is because in most SoCs, actual buffer allocation + * and release is accelerated and performed by hardware. Software's + * role in buffer management is normally reserved to allocating + * large chunks of memory which are then given to hardware for + * automatic management as pools of buffers. In this way the ODP + * application operates independent of how buffers are managed by + * the underlying ODP implementation. + * + * @subsubsection packet_management Packet Management + * + * This includes APIs and accessor functions for packet descriptors + * as well as packet receipt and transmission. + * + * @subsubsection syncronisation Synchronization + * + * This includes APIs and related functions for synchronization + * involving other ODP APIs, such as barriers and related atomics. + * Again, as ODP does not specify a threading model applications + * make use whatever synchronization primitives are native to the + * model they use. + * + * @subsubsection core_enumeration Core Enumeration and managment + * + * This includes APIs to allow applications to enumerate and + * reference cores and per-core data structures. + * + * @subsection sub2_5 Miscellaneous Facilities + * + * ODP includes miscellaneous facilities for compiler hints and + * optimizations common in GCC. [Not sure if we want to consider + * these an "API" per se]. + * + * @subsection sub2_6 Application Programming Model + * + * ODP supports applications that execute using a "run to completion" + * programming model. This means that once dispatched, application + * threads are not interrupted by the kernel or other scheduling + * entity. + * + * Application threads receive work requests as \a events that are + * delivered on application and/or implementation defined + * \a queues. ODP application code would thus normally be + * structured as follows: + * + * @code + * #include <odp.h> + * ...other needed #includes + * + * int main (int argc, char *argv[]) + * { + * ...application-specific initialization + * odp_init_global(); + * + * ...launch threads + * ...wait for threads to terminate + * } + * + * void worker_thread (parameters) + * { + * odp_init_local(); + * + * while (1) { + * do_work(get_work()); // Replace with ODP calls when defined + * } + * + * } + * @endcode + * + * Events are receved on input queues and are processed until they are + * placed on an output queue of some sort. The thread then gets the + * next event to be processed from an input queue and repeats the + * process. + * + * @subsection sub3_1 Asynchronous Operations + * + * Note that work to be performed by a thread may require access to an + * asynchronous function that takes a significant amount of time to + * complete. In such cases the event is forwarded to another worker + * thread or hardware accelerator, depending on the implementation, by + * placing it on anothert queue, which is an output queue of the + * thread making the request. This event in turn is received and + * processed by the thread/accelerator that handles it via its input + * queue. When this aysynchronous event is complete, the event is + * placed on the handler's output queue, which feeds back to the + * original requestor's input queue. When the requesting thread next + * receives this event it resumes processing of the event following + * the asynchronous event and works on it either until it is ready for + * final disposition, or until another asynchronous operation is + * required to process the event. + * + * @subsection sub3_2 Queue Linkages + * + * The mapping of input and output queues that connect worker threads + * to accelerators and related offload functions is a cooperation + * between the implementation and the ODP application. The + * implementation defines the service funtions that are available to + * worker threads (e.g., cypto offload services) and as part of that + * definition defines the queue structure that connects requests to + * those services as well as the outputs from those services that + * connect back to the requesting workers. The ODP application, in + * turn, defines the number of worker threads and how they cooperate + * among themselves. Note that the application may use ODP core + * enumeration APIs to decide how many such worker threads should be + * deployed. + * + * @subsection sub3_3 Packet I/O + * + * In ODP packet I/O is implicit by reading from and writing to queues + * associated with interfaces. An ODP application receives packets by + * dequeuing an event from an input queue associated with an I/O + * interface. This either triggers a packet read or (more likely) + * simply provides the next (queued) packet from the associated + * interface. The actual mechanism used to effect the receipt of the + * packet is left to the ODP implementation and may involve any + * combination of sofware and/or hardware operations. + * + * Similarly, packet transmission is performed by writing a packet to + * an output queue associated with an I/O interface. Again, this + * schedules the packet for output using some combination of software + * and/or hardware as determined by the implementation. ODP applications + * themselves, therefore, are freed from the details of how packet I/O + * is performed or buffered to minimize latencies. The latter is the + * concern of the ODP implementation to achieve optimal results for + * the platform supporting the implementation. + * + * @subsection How to Use this Reference + * + * This reference provides an overview of each data structure and API + * function, along with a graphical representation of the various + * structural dependencies among them. When using the HTML version of + * this reference, all links are dynamic and provide access to the + * underlying implementation source files as well, thus providing both + * a ready reference to API parameters and syntax, as well as + * convenient access to the actual implementation behind them to + * further programmer understandng. + */ |