PSINS: An Open Source Event Tracer and Execution Simulator for MPI Applications

Tikir, Mustafa M.; Laurenzano, Michael A.; Carrington, Laura; Snavely, Allan

doi:10.1007/978-3-642-03869-3_16

Cited by 53 publications

(65 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It provides flexible routing schemes, arbitrary application task placement, and uses direct execution for MPI communications to accelerate the simulation. PSiNS (PMaC's open Source interconnect and Network Simulator) [22] is a trace-driven performance modeling and prediction tool for MPI applications, similar to Dimemas. PSiNS includes several built-in communication models (namely simple, resource contention, and PMaC) that can be used to investigate a target system.…”

Section: Related Workmentioning

confidence: 99%

HAEC-SIM: A Simulation Framework for Highly Adaptive Energy-Efficient Computing Platforms

Bielert¹,

Ciorba²,

Feldhoff³

et al. 2015

Proceedings of the Eighth EAI International Conference on Simulation Tools and Techniques

View full text Add to dashboard Cite

This work presents a new trace-based parallel discrete event simulation framework designed for predicting the behavior of a novel computing platform running energy-aware parallel applications. Discrete event traces capture the runtime behavior of parallel applications on existing systems and form the basis for the simulation. The simulation framework processes the events of the input trace by applying simulation models that modify event properties. Thus, the output are again event traces that describe the predicted application behavior on the simulated target platform. Both input and simulated traces can be visualized and analyzed with established tools. The modular design of the framework enables the simulation of different aspects such as temporal performance and energy efficiency by applying distinct simulation models e.g.: (i) A performance model for communication that allows to evaluate the target communication topology and link properties. (ii) An energy model for computations that is based on measurements of current hardware. We showcase the potential of this simulation by simulating the execution of benchmark applications to explore design alternatives of highly adaptive and energy-efficient computing applications and platforms.

show abstract

Section: Related Workmentioning

confidence: 99%

HAEC-SIM: A Simulation Framework for Highly Adaptive Energy-Efficient Computing Platforms

Bielert¹,

Ciorba²,

Feldhoff³

et al. 2015

Proceedings of the Eighth EAI International Conference on Simulation Tools and Techniques

View full text Add to dashboard Cite

show abstract

“…Simulators range from cycle accurate [5,31] to abstract model-driven message passing simulation [18]. Trace-driven simulators such as SimGrid [9], DIMEMAS [33], and PSINS [34] simulate more detailed network models. Other simulators, such as BigSim [42], Silas [15], and MPI-SIM [1], use direct or kernel execution to assess computation or communication times more accurately.…”

Section: Related Workmentioning

confidence: 99%

Using automated performance modeling to find scalability bugs in complex codes

Calotoiu

Hoefler

Poke

et al. 2013

Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis

111

View full text Add to dashboard Cite

Many parallel applications suffer from latent performance limitations that may prevent them from scaling to larger machine sizes. Often, such scalability bugs manifest themselves only when an attempt to scale the code is actually being made-a point where remediation can be difficult. However, creating analytical performance models that would allow such issues to be pinpointed earlier is so laborious that application developers attempt it at most for a few selected kernels, running the risk of missing harmful bottlenecks. In this paper, we show how both coverage and speed of this scalability analysis can be substantially improved. Generating an empirical performance model automatically for each part of a parallel program, we can easily identify those parts that will reduce performance at larger core counts. Using a climate simulation as an example, we demonstrate that scalability bugs are not confined to those routines usually chosen as kernels.

show abstract

“…Green Queue uses PSiNSTracer [15], an open source MPI tracing and profiling library, to identify load imbalances in MPI applications. For this work, we extended PSiNSTracer to allow MPI profiling layer functions to be introduced to the application via the LD_PRELOAD environment variable on Linux systems, so it therefore requires no modifications to any stage of the application build process to use it.…”

Section: B Mpi Communications Behaviormentioning

confidence: 99%

“…The measurements of MPI behavior are collected using PSiNSTracer [15], an open source MPI tracing and profiling library.…”

Section: B Inter-node Frequency Scaling On Load Imbalancementioning

confidence: 99%

Green Queue: Customized Large-Scale Clock Frequency Scaling

Tiwari

Laurenzano

Peraza

et al. 2012

2012 Second International Conference on Cloud and Green Computing

Self Cite

View full text Add to dashboard Cite

Abstract-We examine the scalability of a set of techniques related to Dynamic Voltage-Frequency Scaling (DVFS) on HPC systems to reduce the energy consumption of scientific applications through an application-aware analysis and runtime framework, Green Queue. Green Queue supports making CPU clock frequency changes in response to intra-node and internode observations about application behavior. Our intra-node approach reduces CPU clock frequencies and therefore power consumption while CPUs lacks computational work due to inefficient data movement. Our inter-node approach reduces clock frequencies for MPI ranks that lack computational work.We investigate these techniques on a set of large scientific applications on 1024 cores of Gordon, an Intel Sandybridgebased supercomputer at the San Diego Supercomputer Center. Our optimal intra-node technique showed an average measured energy savings of 10.6% and a maximum of 21.0% over regular application runs. Our optimal inter-node technique showed an average 17.4% and a maximum of 31.7% energy savings.

show abstract

PSINS: An Open Source Event Tracer and Execution Simulator for MPI Applications

Cited by 53 publications

References 20 publications

HAEC-SIM: A Simulation Framework for Highly Adaptive Energy-Efficient Computing Platforms

HAEC-SIM: A Simulation Framework for Highly Adaptive Energy-Efficient Computing Platforms

Using automated performance modeling to find scalability bugs in complex codes

Green Queue: Customized Large-Scale Clock Frequency Scaling

Contact Info

Product

Resources

About