Optimized All-to-All Connection Establishment for High-Performance MPI Libraries Over InfiniBand

In modern multi-/many-core HPC systems, the increasing number of processor cores presents new challenges in managing parallel compute workloads across multiple nodes. One crucial aspect that significantly impacts the startup phase of parallel MPI jobs is the methodology used for connection establishment. In this paper, we investigate the limitations of existing all-to-all connection establishment designs in-depth, identify the primary sources of performance overhead, and propose an optimized all-to-all connection establishment design. This is done through an enforced ordering rank-by-rank scheme that significantly cuts down on the data exchange overhead via PMI. To address the increasing overheads associated with queue pair creation and synchronization, we explore multi-thread parallelism and incorporate CPU affinity awareness into our design. We implement our proposed design in the state-of-the-art MVAPICH2 MPI library and conduct extensive experiments on two emerging architectures. Through a comprehensive performance evaluation of these architectures, we demonstrate the efficacy of our optimized all-to-all connection establishment design. Our microbenchmark results reveal up to 20 times faster MPI_Init time, while evaluations with application kernels exhibit a 31% improvement in throughput.

I. Introduction

Modern High-Performance Computing (HPC) clusters have witnessed unprecedented advancements with the emergence of multi-/many-core processors and high-bandwidth, low-latency networking technologies. These rapidly developing technolo-gies provide scientists and engineers with the ability to allocate an ever-increasing number of compute nodes and processor cores for their HPC workloads.