When a computational task tolerates a relaxation of its specification or when an algorithm
tolerates the effects of noise in its execution, hardware, system software, and programming …

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

Approximate computing explores opportunities that emerge when applications can tolerate
error or inexactness. These applications, which range from multimedia processing to …

Many applications heavily use bitwise operations on large bitvectors as part of their
computation. In existing systems, performing such bulk bitwise operations requires the …

Over the past two decades, the storage capacity and access bandwidth of main memory
have improved tremendously, by 128x and 20x, respectively. These improvements are …

This article aims to tackle two fundamental memory bottlenecks: limited off-chip bandwidth
(bandwidth wall) and long access latency (memory wall). To achieve this goal, our approach …

The cost of moving and storing data is still a fundamental concern for computer architects.
Inefficient handling of data can be attributed to conventional architectures being oblivious to …

Energy efficiency is a primary constraint in modern systems. Approximate computing is a
promising approach that trades quality of result for gains in efficiency and performance …

Approximate computing is the idea that systems can gain performance and energy efficiency
if they expend less effort on producing a “perfect” answer. Approximate computing …

This paper makes a case for a new cross-layer interface, Expressive Memory (XMem), to
communicate higher-level program semantics from the application to the system software …