In past years, the world has switched to multi and many core shared memory architectures.
As a result, there is a growing need to utilize these architectures by introducing shared …

There is an ever-present need for shared memory parallelization schemes to exploit the full
potential of multi-core architectures. The most common parallelization API addressing this …

In high-performance computing (HPC), the demand for efficient parallel programming
models has grown dramatically since the end of Dennard Scaling and the subsequent move …

With easier access to powerful compute resources, there is a growing trend in AI for software
development to develop larger language models (LLMs) to address a variety of …

With easier access to powerful compute resources, there is a growing trend in the field of AI
for software development to develop larger and larger language models (LLMs) to address a …

This paper presents an overview and evaluation of the existing and newly added analysis
and transformation techniques in the Cetus source-to-source compiler infrastructure. Cetus …

Recently, language models (LMs), especially large language models (LLMs), have
revolutionized the field of deep learning. Both encoder-decoder models and prompt-based …

Multi-core shared memory architectures have become ubiquitous in computing hardware
nowadays. As a result, there is a growing need to fully utilize these architectures by …

The imperative need to scale computation across numerous nodes highlights the
significance of efficient parallel computing, particularly in the realm of Message Passing …

Manual parallelization of code remains a significant challenge due to the complexities of
modern software systems and the widespread adoption of multi-core architectures. This …