AI developers use popular frameworks like TensorFlow, PyTorch, and JAX to work on their projects. All these frameworks, in turn, rely on Nvidia's CUDA AI toolkit and libraries for high-performance AI ...

Canonical will package and distribute NVIDIA CUDA in the Ubuntu repositories, making it easier for developers to install with ...

Nvidia is known for its high-quality GPUs. Originally used for gaming, GPUs later caught on with crypto miners because of ...

It has taken nearly two decades and an immense amount of work by millions of people for high performance computing to go ...

The infrastructure gap is particularly pronounced in tier-2 and tier-3 cities, where many engineering colleges operate with limited resources. This regional disparity could exacerbate existing ...

JavaScript is a sprawling and ever-changing behemoth, and may be the single-most connective piece of web technology. From AI ...

In the past, the CPU was the undisputed center of computing. But today, the GPU has taken that crown—not by replacing the CPU ...

Next year’s Java release is slated to include a performance boost for the G1 garbage collector and opt-in support for HTTP/3.

Nvidia has largely dominated the artificial intelligence (AI) narrative over the last few years thanks to its combination of leading chips and software.

A new technical paper titled “New Tools, Programming Models, and System Support for Processing-in-Memory Architectures” was ...

For UINTAH, combining asynchronous tasking with Kokkos was crucial. One part provides resilience against delays and ensures that there is always work ready. The other part makes that execution ...

Knox College is adding six new tenure-track faculty members to its academic program. “Knox is very lucky to have an ...