How Google’s TPUs are reshaping the economics of large-scale AI

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.
Kenji Explains on MSN

Use Power Pivot to 10x your pivot tables

Upgrade your Pivot Tables in Excel with Power Pivot! This video covers how to use Power Pivot to analyze multiple Excel ...
IEEE

Accelerating Look-Up Table based Matrix Multiplication on GPUs

Abstract: Multiplying matrices is among the most fundamental and compute-intensive operations in machine learning. Approximated Matrix Multiplication (AMM) based on table look-ups can significantly ...
IEEE

tubGEMM: Energy-Efficient and Sparsity-Effective Temporal-Unary-Binary Based Matrix Multiply Unit

Abstract: General Matrix Multiplication (GEMM) is a ubiquitous compute kernel in deep learning (DL). To support energy-efficient edge-native processing, new GEMM hardware units have been proposed that ...