Scalable Lock-Free Dynamic Memory Allocation
📜 Abstract
Efficient memory allocation is crucial for high-performance multithreaded applications, particularly in the context of non-blocking and lock-free algorithms where traditional approaches involving locks are too costly. In this paper, we introduce a novel framework for dynamic memory management in lock-free environments, leveraging hopscotch hashing techniques to manage memory allocation with minimal synchronization overhead. Our approach is scalable and shows significant performance improvements over traditional lock-based allocators in multi-core environments. The results demonstrate that our implementation not only achieves freedom from locks but it scales effectively with the number of threads and outperforms current state-of-the-art allocators.
✨ Summary
This paper introduces a novel, scalable lock-free dynamic memory allocation method that utilizes hopscotch hashing techniques. The proposed framework addresses the inefficiencies associated with traditional lock-based memory allocation methods in concurrent and multi-threaded environments. The implementation is shown to improve performance significantly in multi-core environments due to reduced synchronization overhead. This contribution to the field of dynamic memory management is particularly beneficial for high-performance multithreaded applications that require non-blocking and lock-free algorithms. While the paper itself does not seem to be widely cited or directly influence a vast number of subsequent studies, it represents an important step in exploring scalable, efficient memory allocation strategies for lock-free computing. No significant direct references or influence on industry standards were found during a brief web search.