Because of severe limitations in technology scaling, architects have innovated in
specializing general purpose processors for computation primitives (eg vector instructions …

Unlimited vector extension (UVE) is a novel instruction set architecture extension that takes
streaming and SIMD processing together into the modern computing scenario. It aims to …

A growing number of applications like probabilistic machine learning, sparse linear algebra,
robotic navigation, etc., exhibit irregular data flow computation that can be modeled with …

Accelerators provide an increasingly valuable source of performance in modern computing
systems. In most cases, accelerators are implemented as stand-alone, offload engines to …

Tracing code paths to form extended basic blocks is useful in many areas, compiler
optimizations [1], improving instruction cache behavior [2] and custom-hardware offloading …

Current handhelds incorporate a variety of acceler-ators/IPs for improving their performance
and energy efficiency. While these IPs are extremely useful for accelerating parts of a …

Heterogenous chip multiprocessors (Het-CMPs) offer a combination of large Out-of-Order
(OoO) cores optimized for high single-threaded performance and small In-Order (InO) cores …

This book focuses on the acceleration of emerging irregular sparse workloads, posed by
novel artificial intelligent (AI) models and sparse linear algebra. Specifically, the book …

With the end of Dennard scaling, power constraints have led to increasing compute
specialization in the form of differently specialized accelerators integrated at various levels …

Hardware accelerators have relied on the compiler to extract instruction parallelism but may
waste significant energy in enforcing memory ordering and discovering memory parallelism …