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Created with Raphaël 2.2.031May29282726242221171615141312111097432130Apr292624231917125428Mar2625232221201918151312118765429Feb282723222120161413129765229Jan262524191817161514121110986542131Dec2928272625242120181615141312111076330Nov292827241310863231Oct29262019171613125429Sep26252422211918765415FebMerge branch 'script_devel' into 'master'Fix quick line-wise pycompareAdd input and reference output for short CASE 3 runsMake line-wise pycompare stop on first error if using quick modeVirtual files are dumped to disk at each iteration in MPI processes, drastically reducing memory usageMerge branch 'fix_mpi_barriers' into 'master'Add MPI_Barrier() callsUse vector clear() function to destroy vector elementsMerge branch 'rosalba_output' into 'master'Reset pycompare line counter to match C++ output lineFix inserted output formatsMerge branch 'virtualize_output' into 'master'parallel_anglesparallel_anglesfix broken #ifdefs in case openmp is not enabledmove crucial allocations out of #ifdef USE_OPENMPadd missing include to fix compilationprepare moving to writing virtual files to disk at each MPI iterationFor some reason, I missed some commits you didmove binary file output to virtual file passed via MPI to process 0, thread 0 for actual writing to diskWrite CS_SPHERE, CSM_CLUSTER, CS1 and CS2 data to c_OCLUSet line-wise comparison as default and ignore lines starting with "INSERTION:" tagAssemble ASCII output on MPI proc 0, thread 0 then write only from thereadd some comments to VirtualAsciiFileRedirect output to VirtualAsciiFile objectsIgnore null-termination warning in format stringsImplement VirtualAsciiFile local interfaceDefine VirtualAsciiFile classMerge branch 'fix_io' into 'master'profile_omp_leo…profile_omp_leonardofix remounting files from threads and processes, fix pycompare accordinglyMerge branch 'prepare_magma' into 'master'There was no ifndef CXXFLAGS, thus its value was not respected if set outsideAdd nvidia-cuda-dev to the container of the gitlab runnertest_nvidia_pro…test_nvidia_profilerCorrect USE_NVTX flag logicUse compiler flags to enable NVIDIA profilingPlace NVIDIA markers at the same code block level and add them to the parallel loop functionEnable NVIDIA markersput the preprocessor checks for logger entries of different matrix-inversion options in the correct orderstreamline preprocessor checks for type definitionsfix type definition of argument for magma function callDisable separate CUDA and MAGMA loggingRebase loval prepare_magma on remote branch
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