Many modern and emerging applications must process increasingly large volumes of data.
Unfortunately, prevalent computing paradigms are not designed to efficiently handle such …

The emergence of energy harvesting devices creates the potential for batteryless sensing
and computing devices. Such devices operate only intermittently, as energy is available …

Two major trends in high-performance computing, namely, larger numbers of cores and the
growing size of on-chip cache memory, are creating significant challenges for evaluating the …

Persistent, user-defined objects present an attractive abstraction for working with non-
volatile program state. However, the slow speed of persistent storage (ie, disk) has restricted …

Energy harvesting computers enable general-purpose computing using energy collected
from their environment. Energy-autonomy of such devices has great potential, but their …

Energy harvesting enables novel devices and applications without batteries, but intermittent
operation under energy harvesting poses new challenges to memory consistency that …

The recent switch to parallel microprocessors is a milestone in the history of computing.
Industry has laid out a roadmap for multicore designs that preserves the programming …

The reality of multi-core hardware has made concurrent programs pervasive. Unfortunately,
writing correct concurrent programs is difficult. Addressing this challenge requires advances …

Last-Level Cache (LLC) attacks typically exploit timing side channels in hardware, and thus
rely heavily on timers for their operation. Many proposed defenses against such side …

Transactional Memory (TM) is emerging as a promising technology to simplify parallel
programming. While several TM systems have been proposed in the research literature, we …