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

Side-channel attacks monitor some aspect of a computer system's behavior to infer the
values of secret data. Numerous side-channels have been exploited, including those that …

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

This paper evaluates the suitability of the MapReduce model for multi-core and multi-
processor systems. MapReduce was created by Google for application development on data …

Many of the challenges in building shared-memory data structures stem from needing to
update several memory locations at once—eg, updating four pointers to insert an item into a …

Writing concurrent programs is notoriously difficult, and is of increasing practical importance.
A particular source of concern is that even correctly-implemented concurrency abstractions …

Software-intensive systems in most domains, from autonomous vehicles to health, are
becoming predominantly parallel to efficiently manage large amount of data in short (even …

Transactional memory (TM) promises to substantially reduce the difficulty of writing correct,
efficient, and scalable concurrent programs. But" bounded" and" best-effort" hardware TM …

As parallelism on different levels becomes ubiquitous in today's computers, it seems
worthwhile to provide a review of the wealth of models for parallel computation that have …

Transactional Memory (TM) simplifies parallel programming by allowing for parallel
execution of atomic tasks. Thus far, TM systems have focused on implementing transactional …