A hands-on introduction to parallel programming and optimizations for 1000+ core GPU processors, their architecture, the CUDA programming model, and performance analysis. Students implement various ...

In a move that shouldn't be that surprising, NVIDIA has announced that its popular CUDA platform is being ported to x86. The obvious angle here is that this will give NVIDIA a weapon against ...

QCI's technology is based on superconducting dual-track qubits, a design that can natively detect erasure errors, aiming to achieve more efficient scalability and reduce overhead for large-scale ...

Quantum Circuits, Inc., announced work with NVIDIA technology integrating NVIDIA CUDA-Q programming capabilities into its ...

Stream processing has been used successfully for general programming, including dataflow programming, financial calculation and industrial automation, just to name a few. Furthermore, system engineers ...

Support for unified memory across CPUs and GPUs in accelerated computing systems is the final piece of a programming puzzle that we have been assembling for about ten years now. Unified memory has a ...

Most notably, the chipmaker announced a compiler source code enabling software developers to add new languages and architecture support to Nvidia’s CUDA parallel programming model. The new ...

Years ago, NVIDIA introduced the CUDA programming language for GPU-accelerated apps and software. cuLitho is essentially a library extension of CUDA, optimized for computational photolithography ...

In this Programming Throwdown podcast, Mark Harris from Nvidia describes Cuda programming for GPUs. "CUDA is a parallel computing platform and programming model invented by NVIDIA. It enables dramatic ...