In the last decade, machine-learning-based compilation has moved from an obscure
research niche to a mainstream activity. In this paper, we describe the relationship between …

Mining of opinions from product reviews, forum posts and blogs is an important research
topic with many applications. However, existing research has been focused on extraction …

Malicious alterations of integrated circuits during fabrication in untrusted foundries pose
major concern in terms of their reliable and trusted field operation. It is extremely difficult to …

With recent technological advances, shared memory parallel machines have become more
scalable, and offer large main memories and high bus bandwidths. They are emerging as …

Writing portable programs that perform well on multiple platforms or for varying input sizes
and types can be very difficult because performance is often sensitive to the system …

Current parallelizing compilers cannot identify a significant fraction of parallelizable loops
because they have complex or statically insufficiently defined access patterns. In our …

Irregular scientific codes experience poor cache performance due to their irregular memory
access patterns. In this paper, we present two new locality improving techniques for irregular …

We present Coup, a technique to lower the cost of updates to shared data in cache-coherent
systems. Coup exploits the insight that many update operations, such as additions and …

Observing that large multithreaded applications with irregular data access patterns exhibit
very low memory bank-level parallelism (BLP) during their execution, we propose a novel …

Analysis of data is an important step in understanding and solving a scientific problem.
Analysis involves extracting the data of interest from all the available raw data in a dataset …