Back in 2023, Chris Lattner, creator of LLVM, and his team at Modular unveiled a new language called Mojo. Its syntax resembled Python, but it compiled to machine-native code and offered memory-safety ...

ThunderKittens is a framework to make it easy to write fast deep learning kernels in CUDA. It is built around three key principles: ThunderKittens is built from the hardware up; we do what the silicon ...

Had they included just one of Tony Hoare’s achievements, many scientific careers would be considered prestigious enough. His had a long list, unfortunately closed by his passing away at the age of 92 ...

Today, machine learning tools, particularly artificial neural networks, have become crucial for diverse applications. However, current digital computing tools to train and deploy artificial neural ...

supervenn is a matplotlib-based tool for visualization of any number of intersecting sets. It supports Python sets as inputs natively, but there is a simple workaround to use just intersection sizes.

The interest in neuromorphic computing hardware increased significantly in recent years, for two main reasons. It was realized long ago that digital systems (let they be CPUs or Graphics Processing ...

Uncertainties are widespread in the optimization of process systems, such as uncertainties in process technologies, prices, and customer demands. In this paper, we review the basic concepts and recent ...

Hardware architectures composed of resistive cross-point device arrays can provide significant power and speed benefits for deep neural network training workloads using stochastic gradient descent ...

We provide background information allowing an informed discussion on the parallel performance of the basic solvers laplacianFOAM, scalarTransportFOAM and potentialFOAM. Most our discussion carries ...

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