Multi Core

Multi-core architectures are central to maximizing performance in diverse computational domains, from scientific computing and machine learning to signal processing and quantum computing. Current research focuses on optimizing algorithms and data structures for efficient parallel execution across multiple cores, employing techniques like machine learning for auto-tuning and novel memory arrangements to minimize data access bottlenecks. These advancements are crucial for accelerating computationally intensive tasks, improving energy efficiency, and enabling the development of more powerful and scalable systems across various scientific and engineering applications.