NUMA-AWARE REAL-TIME WORKLOADS

Abstract

Non-Uniform Memory Access (NUMA) is a computer memory design used in multiprocessing, where the memory access time depends on the memory location relative to the processor. With the advent of multi-core processors and complex applications, managing real-time workloads efficiently on systems with multiple NUMA nodes has become increasingly important. This paper provides a comprehensive analysis about "NUMA- Aware Real-Time Workloads". It covers various aspects of managing real-time workloads on systems with multiple NUMA nodes, including the importance of NUMA-aware resource isolation, in-depth deployment patterns, use cases, and associated caveats. The paper discusses the tools and strategies for effective NUMA-aware resource isolation, such as CPU pinning, memory binding, and workload placement strategies. It also explores various deployment patterns, their use cases, and the challenges associated with implementing NUMA-aware strategies. The paper concludes by summarizing the vital role of NUMA-aware resource isolation and deployment patterns in optimizing the performance of real-time workloads and highlights the need for careful planning, ongoing attention, rigorous testing, performance monitoring, and iterative adjustments. This analysis aims to provide insights and recommendations for organizations looking to optimize the performance of their real-time applications while managing the inherent complexities associated with NUMA-aware resource isolation.