With the waning of Moore's law, optimizing program performance has become a major focus
of software research. However, high-level optimizations such as API and algorithm changes …

Although large language models (LLMs) have been largely successful in generating
functionally correct programs, conditioning models to produce efficient solutions while …

Program optimization is the process of modifying software to execute more efficiently.
Superoptimizers attempt to find the optimal program by employing significantly more …

Nonvolatile random-access memories (NVRAMs) are envisioned as a new tier of memory in
future server systems. They enable a promising persistent memory (PM) technique, with …

Unlike prior approaches to machine learning, Transformer models can first be trained on a
large corpus of unlabeled data with a generic objective and then on a smaller task-specific …

The rapid growth in the areas of language generation and reasoning has been significantly
facilitated by the availability of user-friendly libraries wrapped around large language …

Companies and organizations grapple with the daily burden of document processing. As
manual handling is tedious and error-prune, automating this process is a significant goal. In …