![]() ![]() Time issue: my goal would be to solve all of these systems in less than 1 second. ![]() Why? How can I improve my code in order to solve the whole batch of 1.2 million matrices? Overload issue: it crashes allocating memory for more than 10k matrices. Never felt better and don’t feel beat up like when I go to the gym Tracy M. It works correctly up to about 10000 matrixes and, in this case, it takes ~570 ms to perform the LU factorization (on an NVIDIA GeForce 930MX) and ~311 ms to solve the systems. Example Elimination method for 3x3 systems of equations elimination method for 3x3 systems of equations example let the system be: 15 20 10 step any two. The algorithm firstly performs a LU factorization using cublasgetrfBatched() followed by two consecutive invocations of cublastrsm() which solves upper or lower triangular linear systems. I took a cue from this (useful!) post and re-wrote the suggested code in a Unified Memory version. ![]() Learn vocabulary, terms, and more with flashcards. I am trying to solve about 1200000 linear systems (3x3, Ax=B) with CUDA 10.1, in particular using the CUBLAS library. Start studying Unit 1 - Part 1 - Section 1: Visual descriptions of 3x3 Systems of Linear Equations. ![]()
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