Approximate computing has gained research attention recently as a way to increase energy
efficiency and/or performance by exploiting some applications' intrinsic error resiliency …

Data movement between the CPU and main memory is a first-order obstacle against improv
ing performance, scalability, and energy efficiency in modern systems. Computer systems …

Computer Architecture: A Quantitative Approach, Sixth Edition has been considered
essential reading by instructors, students and practitioners of computer design for over 20 …

In a single second a modern processor can execute billions of instructions. Obtaining a
bird's eye view of the behavior of a program at these speeds can be a difficult task when all …

Recent advances in deep learning (DL) have spawned various intelligent cloud services
with well-trained DL models. Nevertheless, it is nontrivial to maintain the desired end-to-end …

Although some instructions hurt performance more than others, current processors typically
apply scheduling and speculation as if each instruction was equally costly. Instruction cost …

This paper presents a new disk I/O architecture composed of an array of a flash memory
SSD (solid state disk) and a hard disk drive (HDD) that are intelligently coupled by a special …

The paper focuses in the problem of how to find and effectively exploit speculative thread-
level parallelism. Our studies show that speculating only on loops does not yield sufficient …

Value prediction is a relatively new technique to increase the Instruction Level Parallelism
(ILP) in future microprocessors. An important problem when designing a value predictor is …

Value locality, a recently discovered program attribute that describes the likelihood of the
recurrence of previously-seen program values, has been studied enthusiastically in the …