This document provides a rigorous mathematical framework for understanding decoder-only transformer architectures through Einstein notation. It covers essential components including multi-head ...

Abstract: Accelerating tensor applications on spatial architectures provides high performance and energy-efficiency, but requires accurate performance models for evaluating various dataflow ...

TENET is an analytical framework that models hardware dataflow of tensor applications on spatial architectures. By using the relation-centric notation to represent dataflow, interconnection and tensor ...

THIS book is stated to be intended for students at universities, and the reader is forewarned that for its proper understanding a knowledge of the elements of physics, mathematics and crystallography ...