TPUv7 offers a viable alternative to the GPU-centric AI stack has already arrived — one with real implications for the economics and architecture of frontier-scale training.

Google’s efforts to sell or lease its artificial intelligence server chips so they can run in any company’s data center—and not just in Google Cloud—have generated headlines, stock moves and a ...

Abstract: Sparse matrix multiplication is widely used in various practical applications. Different accelerators have been proposed to speed up sparse matrix-dense vector multiplication (SpMV), sparse ...

Have you ever faced the daunting task of identifying and prioritizing risks in a project, only to feel overwhelmed by the sheer complexity of it all? Whether you’re managing a multi-million-dollar ...

In this assignment, you'll be investigating the performance impacts of different cache architectures and different algorithm designs on matrix multiplication. The goals of this assignment are: Show ...

While it's not as easy as tapping a few keys on a calculator, you can use Microsoft Excel to perform simple math, such as multiplying numbers. In order to do this, you'll need to learn Excel's ...

Since homomorphic encryption enables SIMD operations by packing multiple values into a vector of operations and enabling pairwise addition or multiplication operations, one (old) conventional method ...

Large language models such as ChaptGPT have proven to be able to produce remarkably intelligent results, but the energy and monetary costs associated with running these massive algorithms is sky high.