CHARM++: a portable concurrent object oriented system based on C++
OOPSLA '93 Proceedings of the eighth annual conference on Object-oriented programming systems, languages, and applications
MPI: a message passing interface
Proceedings of the 1993 ACM/IEEE conference on Supercomputing
Statistical scalability analysis of communication operations in distributed applications
PPoPP '01 Proceedings of the eighth ACM SIGPLAN symposium on Principles and practices of parallel programming
A Scalable Debugger for Massively Parallel Message-Passing Programs
IEEE Parallel & Distributed Technology: Systems & Technology
The Scalasca performance toolset architecture
Concurrency and Computation: Practice & Experience - Scalable Tools for High-End Computing
Generic topology mapping strategies for large-scale parallel architectures
Proceedings of the international conference on Supercomputing
Automating topology aware mapping for supercomputers
Automating topology aware mapping for supercomputers
Design and Evaluation of Network Topology-/Speed- Aware Broadcast Algorithms for InfiniBand Clusters
CLUSTER '11 Proceedings of the 2011 IEEE International Conference on Cluster Computing
An approach to creating performance visualizations in a parallel profile analysis tool
Euro-Par'11 Proceedings of the 2011 international conference on Parallel Processing - Volume 2
INAM - a scalable infiniband network analysis and monitoring tool
Euro-Par'11 Proceedings of the 2011 international conference on Parallel Processing - Volume 2
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Over the last decade, InfiniBand (IB) has become an increasingly popular interconnect for deploying modern supercomputing systems. As supercomputing systems grow in size and scale, the impact of IB network topology on the performance of high performance computing (HPC) applications also increase. Depending on the kind of network (FAT Tree, Tori, or Mesh), the number of network hops involved in data transfer varies. No tool currently exists that allows users of such large-scale clusters to analyze and visualize the communication pattern of HPC applications in a network topology-aware manner. In this paper, we take up this challenge and design a scalable, low-overhead InfiniBand Network Topology-Aware Performance Analysis Tool for MPI - INTAP-MPI. INTAP-MPI allows users to analyze and visualize the communication pattern of HPC applications on any IB network (FAT Tree, Tori, or Mesh). We integrate INTAP-MPI into the MVAPICH2 MPI library, allowing users of HPC clusters to seamlessly use it for analyzing their applications. Our experimental analysis shows that the INTAP-MPI is able to profile and visualize the communication pattern of applications with very low memory and performance overhead at scale.