Research

Maxim Naumov

Maxim Naumov, Ph.D.
Sr. Software Engineer
Bio:
Maxim's interests are in the area of parallel numerical linear algebra, in particular parallel iterative methods and eigenvalue solvers. He received his Ph.D. in Computer Science (with specialization in Computational Science and Engineering) in 2009 and his B.Sc. in Computer Science and Mathematics in 2003, all from Purdue University – West Lafayette. He has previously held positions at the Intel Corporation Microprocessor Technology Lab and Computational Software Lab, and was awarded 2008-09 Intel Foundation Ph.D. Fellowship. Maxim is currently a Sr. Software Engineer at Nvidia CUDA Platform team and works on parallel numerical algorithms for Graphics Processing Units (GPUs).
Research Interests:
Parallel Numerical Linear Algebra
Publications:
Incomplete-LU and Cholesky Factorization in the Preconditioned Iterative Methods on the GPU
Parallel Solution of Sparse Triangular Linear Systems in the Preconditioned Iterative Methods on the GPU