Advancements in light-based AI architectures are being pursued under the leadership of Dr. Pramod Kumar at QRDC ...

A team of engineers has created a breakthrough memory device that keeps working at temperatures hotter than molten lava, ...

When it comes to large language models on edge devices, there’s arguably one metric that matters the most: time to first ...

Emerging non-volatile memory ( NVM) technologies are widely viewed as key enablers of IMC architectures. Among them, Resistive RAM (ReRAM) has attracted significant interest due to its combination of ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Implementations of matrix multiplication via diffusion and reactions, thus eliminating ...

Discovering faster algorithms for matrix multiplication remains a key pursuit in computer science and numerical linear algebra. Since the pioneering contributions of Strassen and Winograd in the late ...

Matrix multiplication on GPUs for matrices stored on a CPU. Similar to cublasXt, but ported to both NVIDIA and AMD GPUs.

A new technical paper titled “Scalable MatMul-free Language Modeling” was published by UC Santa Cruz, Soochow University, UC Davis, and LuxiTech. “Matrix multiplication (MatMul) typically dominates ...

Researchers claim to have developed a new way to run AI language models more efficiently by eliminating matrix multiplication from the process. This fundamentally redesigns neural network operations ...