Technical Blog

Let’s imagine a situation. You buy a brand-new, cutting-edge, Volta-powered DGX-2 server. You’ve done your math right, expecting a 2x performance increase in… 12 MIN READ

Machine learning harnesses computing power to solve a variety of ‘hard’ problems that seemed impossible to program using traditional languages and techniques. 8 MIN READ

The CUDA Fortran compiler from PGI now supports programming Tensor Cores with NVIDIA’s Volta V100 and Turing GPUs. This enables scientific programmers using… 12 MIN READ

MATLAB makes it easy for engineers to train deep-learning models for semantic segmentation, taking advantage NVIDIA GPU acceleration 8 MIN READ

Neural networks with thousands of layers and millions of neurons demand high performance and faster training times. The complexity and size of neural networks… 5 MIN READ

Double-precision floating point (FP64) has been the de facto standard for doing scientific simulation for several decades. Most numerical methods used in… 9 MIN READ