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Implementation of Implicitly restarted Arnoldi method for large matrices in CUDA and basics of deep learning.
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#### Download test data from sourceforge #### To download test data from sourcefourge server, not from github (LFS), please execute below command in ./script directory LFS is not available in recent version. $ bash download_data.sh or download test data package from link: >>> https://sourceforge.net/projects/openap/files/oap_test_data/oap_test_data.tar.gz <<< To clean all data directory before download, use command: $ bash download_test_data.sh preclean #### Compilation of host part #### To compile only host part of framework, use command $ make TARGET_ARCH=HOST #### Compilation modes #### Compile only host part of project: $ make TARGET_ARCH=HOST #### MACROS #### OAP_TESTS_PLOT - plot data into python file in tests scope (can influence on time of tests execution) OAP_CU_DEVICE_INDEX - index of graphics card (unit) used for calculations OAP_CUDA_BUILD - information that current compilation unit is cuda compilation OAP_CONFIG_NI_EF - in this case uintt is unsigned int and floatt is double OAP_CONFIG_NI_NF - in this case uintt is unsigned long long int and floatt is double OAP_PERFORMANCE_CLOCK_ENABLE - enables macros in oapClock.h for measurment of elipsed time OAP_PNG_TEST_PRINT_PATTERNS - prints patterns in tetss OapPngFileTests.LoadMnistExamples and OapPngFileTests.LoadRow0 OAP_DISABLE_ABORT_MEMLEAK - disables abort in the case of not allocated element of AllocationList OAP_DISABLE_ASSERTION - disables assertion (logAssertion, oapAssertion)
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Implementation of Implicitly restarted Arnoldi method for large matrices in CUDA and basics of deep learning.
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LGPL-3.0, GPL-3.0 licenses found
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