X-Git-Url: http://info.iut-bm.univ-fcomte.fr/pub/gitweb/simgrid.git/blobdiff_plain/e5130cdbc2349378aa1b08633f08ad7b540aacf8..f734ec7475682eb90323e804cbcfddd7e4523992:/doc/doxygen/getting_started.doc diff --git a/doc/doxygen/getting_started.doc b/doc/doxygen/getting_started.doc index 4ef1c691d7..0852c346c4 100644 --- a/doc/doxygen/getting_started.doc +++ b/doc/doxygen/getting_started.doc @@ -38,7 +38,8 @@ Any SimGrid study entails the following components: - The studied **Application**. This can be either a distributed algorithm described in our simple APIs, or a full featured real - parallel application using the MPI interface (or other). + parallel application using for example the MPI interface + @ref application "(more info)". - The **Virtual Platform**. This is a description of a given distributed system (machines, links, disks, clusters, etc). Most of @@ -47,19 +48,21 @@ Any SimGrid study entails the following components: Platform with a Dynamic Scenario where for example the links are slowed down (because of external usage), the machines fail. You have even support to specify the applicative workload that you want - to feed to your application. + to feed to your application @ref platform "(more info)". - - The application's **Deployment Description**. In SimGrid terminology, - the application is an inert set of source files and binaries. To - make it run, you have to describe how your application should be - deployed on the virtual platform. Specify which process is located - on which host, along with its parameters. + - The application's **Deployment Description**. In SimGrid + terminology, the application is an inert set of source files and + binaries. To make it run, you have to describe how your application + should be deployed on the virtual platform. You need to specify + which process is mapped on which host, along with their parameters + @ref deployment "(more info)". - The **Platform Models**. They describe how the virtual platform reacts to the actions of the application. For example, they compute the time taken by a given communication on the virtual platform. These models are already included in SimGrid, and you only need to - pick one and maybe tweak its configuration to get your results. + pick one and maybe tweak its configuration to get your results + @ref models "(more info)". These components are put together to run a **simulation**, that is an experiment or a probe. The result of one or many simulation provides @@ -85,49 +88,70 @@ The questions that SimGrid can solve include the following: probe will not change the simulated state). It also makes it easy to mock some parts of the real system that are not under study. -@section starting_gears SimGrid Execution Gears +Depending on the context, you may see some parts of this process as +less important, but you should pay close attention if you want to be +confident in the results coming out of your simulations. In +particular, you should not trust blindly your results but always +strive to double-check them. Likewise, you should question the realism +of your input configuration, and we even encourage you to doubt (and +check) the provided performance models. -Depending on the intended study, SimGrid can be run in several gears, -that are different execution modes. +To ease such questionning, you really should logically separate these +parts in your experimental setup. It is seen as a very bad practice to +merge the application, the platform and the deployment all together. +SimGrid is versatile and your milleage may vary, but you should start +with your Application specified as a C++ or Java program, using one of +the provided XML platform file, and with your deployment in a separate +XML file. -** **Simulation Gear**. This is the most common gear, where you want +@section starting_gears SimGrid Execution Modes + +Depending on the intended study, SimGrid can be run in several execution modes. + +** **Simulation Mode**. This is the most common execution mode, where you want to study how your application behaves on the virtual platform under the experimental scenario. - -In this gear, SimGrid can provide information about the time taken by + +In this mode, SimGrid can provide information about the time taken by your application, the amount of energy dissipated by the platform to run your application and the detailed usage of each resource. - -** **Model-Checking Gear**. This can be seen as a sort of exhaustive -testing gear, where every possible outcome of your application is -explored. In some sense, this gear tests your application for all + +** **Model-Checking Mode**. This can be seen as a sort of exhaustive +testing mode, where every possible outcome of your application is +explored. In some sense, this mode tests your application for all possible platforms that you could imagine (and more). - + You just provide the application and its deployment (amount of processes and parameters), and the model-checker will litterally explore all possible outcomes by testing all possible message -interleaving: if at some point a given process can either receive the +interleavings: if at some point a given process can either receive the message A first or the message B depending on the platform characteristics, the model-checker will explore the scenario where A arrives first, and then rewind to the same point to explore the -scenarion where B arrives first. +scenario where B arrives first. -This is a very powerful gear, where you can evaluate the correction of -your application. It can verify either *safety properties* (asserts) -or *liveless properties* stating for example that if a given event +This is a very powerful mode, where you can evaluate the correction of +your application. It can verify either **safety properties** (asserts) +or **liveless properties** stating for example that if a given event occures, then another given event will occur in a finite amount of -steps. This gear is not only usable with the abstract algorithms +steps. This mode is not only usable with the abstract algorithms developed on top of the SimGrid APIs, but also with real MPI applications (to some extend). The main limit of Model Checking lays in the huge amount of scenarios to explore. SimGrid tries to explore only non-redundent scenarios -thanks to classical reduction techniques (such as DPOR and statefull +thanks to classical reduction techniques (such as DPOR and stateful exploration) but the exploration may well never finish if you don't -carefully adapt your application to this gear. +carefully adapt your application to this mode. + +A classical trap is that the Model Checker can only verify whether +your application fits the provided properties, which is useless if you +have a bug in your property. Remember also that one way for your +application to never violate a given assert is to not start at all +because of a stupid bug. -Another limit of this gear is that it does not use the performance -models of the simulation gear. Time becomes discrete: You can say for +Another limit of this mode is that it does not use the performance +models of the simulation mode. Time becomes discrete: You can say for example that the application took 42 steps to run, but there is no way to know the amount of seconds that it took or the amount of watts that it dissipated. @@ -142,7 +166,7 @@ possible outcomes *from a given initial situation*. There is no way to prove the correction of your application in all generality with this tool. -** **Benchmark Recording Gear**. During debug sessions, continuous +** **Benchmark Recording Mode**. During debug sessions, continuous integration testing and other similar use cases, you are often only interested in the control flow. If your application apply filters to huge images split in small blocks, the filtered image is probably not @@ -153,19 +177,6 @@ and replaced by a synthetic block using the cached information. The virtual platform will take this block into account without requesting the real hosting machine to benchmark it. -@section starting_successes SimGrid Success Stories - -TBD - -- Many publications -- Accurate speedup prediction for the Mont-Blanc cluster -- It already happened that a divergence between the simulated outcome - and the reality resulted from a testbed misconfiguration. In some - sense, we fixed the reality because it was not getting the result - that SimGrid correctly computed :) -- Star-PU, BigDFT, TomP2P use SimGrid to chase their bugs and improve - their efficiency. - @section starting_limits SimGrid Limits This framework is by no means the perfect holly grail able to solve @@ -198,6 +209,50 @@ with SimGrid**: - Studying security aspects of your application, in presence of malicious agents. +@section starting_successes SimGrid Success Stories + +SimGrid was cited in over 1,500 scientific papers (according to Google +Scholar). Among them +over 200 +publications (written by about 300 individuals) use SimGrid as a +scientific instrument to conduct their experimental evaluation. These +numbers do not count the articles contributing to SimGrid. +This instrument was used in many research communities, such as +High-Performance Computing, +Cloud Computing, +Workflow Scheduling, +Big Data and +MapReduce, +Data Grid, +Volunteer Computing, +Peer-to-Peer Computing, +Network Architecture, +Fog Computing, or +Batch Scheduling +(more info). + +If your platform description is accurate enough (see +here or +there), +SimGrid can provide high-quality performance predictions. For example, +we determined the speedup achieved by the Tibidabo Arm-based +cluster before its construction +(paper). In this case, +some differences between the prediction and the real timings were due to +misconfiguration or other problems with the real platforms. To some extent, +SimGrid could even be used to debug the real platform :) + +SimGrid is also used to debug, improve and tune several large +applications. +BigDFT (a massively parallel code +computing the electronic structure of chemical elements developped by +the CEA), StarPU (a +Unified Runtime System for Heterogeneous Multicore Architectures +developped by Inria Bordeaux) and +TomP2P (a high performance +key-value pair storage library developped at University of Zurich). +Some of these applications enjoy large user communities themselves. + @section starting_next Where to proceed next? Now that you know about the basic concepts of SimGrid, you can give it