*
* @code{.xml}
* <?xml version='1.0'?>
- * <!DOCTYPE platform SYSTEM "http://simgrid.gforge.inria.fr/simgrid/simgrid.dtd">
- * <platform version="4">
+ * <!DOCTYPE platform SYSTEM "https://simgrid.org/simgrid.dtd">
+ * <platform version="4.1">
*
* <!-- Start an actor called 'master' on the host called 'Tremblay' -->
* <actor host="Tremblay" function="master">
* An execution of priority 2 computes twice as fast as an execution at priority 1. */
XBT_PUBLIC void execute(double flop, double priority);
-XBT_PUBLIC void parallel_execute(int host_nb, sg_host_t* host_list, double* flops_amount, double* bytes_amount);
-XBT_PUBLIC void parallel_execute(int host_nb, sg_host_t* host_list, double* flops_amount, double* bytes_amount,
- double timeout);
+/**
+ * @example examples/s4u/exec-ptask/s4u-exec-ptask.cpp
+ */
+
+/** Block the actor until the built parallel execution terminates
+ *
+ * \rst
+ * .. _API_s4u_parallel_execute:
+ *
+ * **Example of use:** `examples/s4u/exec-ptask/s4u-exec-ptask.cpp
+ * <https://framagit.org/simgrid/simgrid/tree/master/examples/s4u/exec-ptask/s4u-exec-ptask.cpp>`_
+ *
+ * Parallel executions convenient abstractions of parallel computational kernels that span over several machines,
+ * such as a PDGEM and the other ScaLAPACK routines. If you are interested in the effects of such parallel kernel
+ * on the platform (e.g. to schedule them wisely), there is no need to model them in all details of their internal
+ * execution and communications. It is much more convenient to model them as a single execution activity that spans
+ * over several hosts. This is exactly what s4u's Parallel Executions are.
+ *
+ * To build such an object, you need to provide a list of hosts that are involved in the parallel kernel (the
+ * actor's own host may or may not be in this list) and specify the amount of computations that should be done by
+ * each host, using a vector of flops amount. Then, you should specify the amount of data exchanged between each
+ * hosts during the parallel kernel. For that, a matrix of values is expected.
+ *
+ * It is OK to build a parallel execution without any computation and/or without any communication.
+ * Just pass an empty vector to the corresponding parameter.
+ *
+ * For example, if your list of hosts is ``[host0, host1]``, passing a vector ``[1000, 2000]`` as a `flops_amount`
+ * vector means that `host0` should compute 1000 flops while `host1` will compute 2000 flops. A matrix of
+ * communications' sizes of ``[0, 1, 2, 3]`` specifies the following data exchanges:
+ *
+ * +-----------+-------+------+
+ * |from \\ to | host0 | host1|
+ * +===========+=======+======+
+ * |host0 | 0 | 1 |
+ * +-----------+-------+------+
+ * |host1 | 2 | 3 |
+ * +-----------+-------+------+
+ *
+ * - From host0 to host0: 0 bytes are exchanged
+ * - From host0 to host1: 1 byte is exchanged
+ * - From host1 to host0: 2 bytes are exchanged
+ * - From host1 to host1: 3 bytes are exchanged
+ *
+ * In a parallel execution, all parts (all executions on each hosts, all communications) progress exactly at the
+ * same pace, so they all terminate at the exact same pace. If one part is slow because of a slow resource or
+ * because of contention, this slows down the parallel execution as a whole.
+ *
+ * These objects are somewhat surprising from a modeling point of view. For example, the unit of their speed is
+ * somewhere between flop/sec and byte/sec. Arbitrary parallel executions will simply not work with the usual platform
+ * models, and you must :ref:`use the ptask_L07 host model <options_model_select>` for that. Note that you can mix
+ * regular executions and communications with parallel executions, provided that the host model is ptask_L07.
+ *
+ * \endrst
+ */
+XBT_PUBLIC void parallel_execute(std::vector<s4u::Host*> hosts, std::vector<double> flops_amounts,
+ std::vector<double> bytes_amounts);
+
+/** \rst
+ * Block the actor until the built :ref:`parallel execution <API_s4u_parallel_execute>` completes, or until the timeout.
+ * \endrst
+ */
+XBT_PUBLIC void parallel_execute(std::vector<s4u::Host*> hosts, std::vector<double> flops_amounts,
+ std::vector<double> bytes_amounts, double timeout);
+
+#ifndef DOXYGEN
+XBT_ATTRIB_DEPRECATED_v325("Please use std::vectors as parameters") XBT_PUBLIC
+ void parallel_execute(int host_nb, s4u::Host** host_list, double* flops_amount, double* bytes_amount);
+XBT_ATTRIB_DEPRECATED_v325("Please use std::vectors as parameters") XBT_PUBLIC
+ void parallel_execute(int host_nb, s4u::Host** host_list, double* flops_amount, double* bytes_amount,
+ double timeout);
+#endif
XBT_PUBLIC ExecPtr exec_init(double flops_amounts);
XBT_PUBLIC ExecPtr exec_async(double flops_amounts);
