Anton Anders

Anton Anders holds a master’s degree in Applied Mathematics and Programming. Prior to joining NVIDIA, he worked at Intel, first as a software developer at Intel MKL responsible for SparseBlas and Pardiso (direct sparse solver). Then he moved to Intel's MKL-DNN team and worked on developing highly optimized kernels (GEMM and Convolution) for current and future Intel architectures. At NVIDIA, Anton is covering several projects, including cuSolver, cuSparse, HPL, and cuDSS. His primary area of focus is optimizations for future architectures.
Anton Anders

Posts by Anton Anders

Simulation / Modeling / Design

Spotlight: Honeywell Accelerates Industrial Process Simulation with NVIDIA cuDSS

For over a decade, traditional industrial process modeling and simulation approaches have struggled to fully leverage multicore CPUs or acceleration devices to... 8 MIN READ