In this work, we present a survey of the different parallel programming models and tools available today with special consideration to their suitability for high-performance computing. Thus, we review ...

These applications either necessitate the use of high-speed sampling with high-speed serial readout or the use of non-serialized parallel data, as provided by the MAX22195, an industrial digital input ...

Both parallel programming and asynchronous programming are examples of concurrent programming, meaning more than one operation is running at the same time. Parallel programming is a more specific form ...

LLMs have revolutionized software development by automating coding tasks and bridging the natural language and programming gap. While highly effective for general-purpose programming, they struggle ...

This research full paper describes the use of challenges to teach parallel programming, regardless of teaching methodology (traditional, Problem-Based Learning and others) or programming-contest ...

NVIDIA’s CUDA is a general purpose parallel computing platform and programming model that accelerates deep learning and other compute-intensive apps by taking advantage of the parallel ...

Abstract: In today's widely used parallel programming models, subtle programming errors can lead to unintended nondeterministic behavior and hard to catch bugs. In contrast, we argue for a parallel ...