One of the key trends for Nvidia right now is the growth of CUDA (Compute Unified Device Architecture), Nvidia's programming language for general-purpose GPU computing. In a keynote speech, Huang ...

Students will be able to analyze the computing and memory architecture of a super computing node and use OpenMP directives to improve vectorization of their programs. This module focuses on the key ...

As AI and HPC workloads drive unprecedented demands on data infrastructure, the concept of the “parallel file system” (PFS) has re-emerged as a critical architectural foundation. However, it remains ...

Flow Computing is a pioneer in licensing on-die ultra-high-performance parallel computing solutions to CPU vendors of all architectures. And today the company is emerging from stealth with a funding ...

Unlock the power of modern computing systems with this hands-on specialization designed for scientists, engineers, scholars, and technical professionals. Whether you're working with large datasets, ...

In January we gave NVIDIA’s CUDA (Compute Unified Device Architecture) software tools that allows C programmers to use multiple high-performance GPU cards to perform massively parallel computations ...

The enormous growth in artificial intelligence (AI) and Internet of Things (IoT) is fueling a growing demand for high-efficiency computing to perform real-time analysis on massive amounts of data. In ...