cpp
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JoltPhysics
cermin dari https://github.com/jrouwe/JoltPhysics.git


			
				
					
						
						
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   <div id="projectname">Jolt Physics
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   <div id="projectbrief">A multi core friendly Game Physics Engine</div>
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<div class="textblock"><p><a class="anchor" id="autotoc_md1"></a></p>
<p>The performance test application contains a couple of simple scenes to test performance of Jolt Physics. It will output the results to the TTY in CSV format.</p>
<h1><a class="anchor" id="autotoc_md2"></a>
Commandline options</h1>
<ul>
<li>-s=[scene]: This allows you to select a scene, [scene] can be;<ul>
<li><a class="el" href="class_ragdoll.html" title="Runtime ragdoll information.">Ragdoll</a>: A scene with 16 piles of 10 ragdolls (3680 bodies) with motors active dropping on a level section.</li>
<li>RagdollSinglePile: A single pile of 160 ragdolls (3680 bodies) with motors active dropping on a level section.</li>
<li>ConvexVsMesh: A simpler scene of 484 convex shapes (sphere, box, convex hull, capsule) falling on a 2000 triangle mesh.</li>
<li>Pyramid: A pyramid of 1240 boxes stacked on top of each other to profile large island splitting.</li>
<li>LargeMesh: Searches for the biggest <a class="el" href="class_mesh_shape.html">MeshShape</a> that can be created and then drops 4410 boxes on that mesh.</li>
</ul>
</li>
<li>-i=[iterations]: Number of physics steps before the test finishes.</li>
<li>-q=[quality]: This limits the motion quality types that the test will run on. By default it will test both. [quality] can be:<ul>
<li>Discrete: Discrete collision detection</li>
<li>LinearCast: Linear cast continous collision detection</li>
</ul>
</li>
<li>-t=[num]: This sets the amount of threads the test will run on. By default it will test 1 .. number of virtual processors. Can be 'max' to run on as many thread as the CPU has.</li>
<li>-no_sleep: Disable sleeping.</li>
<li>-p: Outputs a profile snapshot every 100 iterations</li>
<li>-r: Outputs a performance_test_[tag].jor file that contains a recording to be played back with JoltViewer</li>
<li>-f: Outputs the time taken per frame to per_frame_[tag].csv</li>
<li>-h: Displays a help text</li>
<li>-rs: Record the simulation state in state_[tag].bin.</li>
<li>-vs: Validate the recorded simulation state from state_[tag].bin. This will after every simulation step check that the state is the same as the recorded state and trigger a breakpoint if this is not the case. This is used to validate cross platform determinism.</li>
<li>-repeat=[num]: Repeats all tests num times.</li>
<li>-validate_hash=[hash]: Will validate that the hash of the simulation matches the supplied hash. Program terminates with return code 1 if it doesn't. Can be used to automatically validate determinism.</li>
</ul>
<h1><a class="anchor" id="autotoc_md3"></a>
Output</h1>
<ul>
<li>Motion Quality: Shows the motion quality for the test.</li>
<li>Thread Count: The amount of threads used for the test.</li>
<li>Steps / Second: Average amount of physics steps / second over the entire duration of the test.</li>
<li><a class="el" href="struct_hash.html" title="Fallback hash function that calls T::GetHash()">Hash</a>: A hash of all positions and rotations of the bodies at the end of the test. Can be used to verify that the test was deterministic.</li>
</ul>
<h1><a class="anchor" id="autotoc_md4"></a>
Results</h1>
<p>If you're interested in how Jolt scales with multiple CPUs and compares to other physics engines, take a look at <a href="https://jrouwe.nl/jolt/JoltPhysicsMulticoreScaling.pdf">this document</a>. </p>
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