aboutsummaryrefslogtreecommitdiff
path: root/implosion.py
AgeCommit message (Collapse)Author
2019-06-22Add interactive 2D LDC notebook, fix material initializationAdrian Kummerlaender
2019-06-16Replace some explicit dimension branchingAdrian Kummerlaender
2019-06-15Split descriptors and symbolic formulationAdrian Kummerlaender
2019-06-15Add support for generating a D3Q19 kernelAdrian Kummerlaender
Note how this basically required no changes besides generalizing cell indexing and adding the symbolic formulation of a D3Q19 BGK collision step. Increasing the neighborhood communication from 9 to 19 cells leads to a significant performance "regression": The 3D kernel yields ~ 360 MLUPS compared to the 2D version's ~ 820 MLUPS.
2019-06-15Consistently name population buffersAdrian Kummerlaender
2019-06-14Extract geometry informationAdrian Kummerlaender
2019-06-13Further the separation between descriptor and latticeAdrian Kummerlaender
2019-06-13Tidy up symbolic kernel generationAdrian Kummerlaender
2019-06-13Add kernel customization point for velocity boundariesAdrian Kummerlaender
2019-06-12Make it easier to exchange initial equilibration logicAdrian Kummerlaender
2019-06-12RestructuringAdrian Kummerlaender
2019-06-11Restore wrongly deleted file from 75d0088Adrian Kummerlaender
2019-06-11Remove initial vector field exampleAdrian Kummerlaender
2019-06-09Fix relaxation timeAdrian Kummerlaender
2019-06-09Fix boundariesAdrian Kummerlaender
2019-06-09Add periodic performance reportingAdrian Kummerlaender
2019-06-08Performance optimizationsAdrian Kummerlaender
Starting point: ~200 MLUPS on a NVidia K2200 Changes that did not noticeably impact performance: * Memory layout AOS vs. SOA (weird, probably highly platform dependent) * Propagate on read * Tagging pointers as read / write only * Manual code inlining Changes that made things worse: * Bad thread block sizes The actual issue: * Hidden double precision computations => Code now yields ~600 MLUPS
2019-06-04Check whether hand-unrolling makes a differenceAdrian Kummerlaender
…it doesn't in this case.
2019-05-31Try out various OpenCL work group sizes using a Jupyter notebookAdrian Kummerlaender
This is actually quite nice for this kind of experimentation!
2019-05-30Collapse SOA into single arrayAdrian Kummerlaender
Weirdly the expected performance gains due to better coalescence of memory access is not achieved.
2019-05-29Move to structure of arraysAdrian Kummerlaender
2019-05-28Add const qualifiers for pointersAdrian Kummerlaender
2019-05-28Pull streaming for local writesAdrian Kummerlaender
2019-05-28Remove branch to enable vectorization on IntelAdrian Kummerlaender
Twice the MLUPS!
2019-05-27Add material numbersAdrian Kummerlaender
2019-05-27Print some performance statisticsAdrian Kummerlaender
2019-05-26Add basic D2Q9 LBMAdrian Kummerlaender
Ported the basic compustream structure