The structural simulation toolkit

Rodrigues, Arun F.; Hemmert, Karl Scott; Barrett, Brian; Kersey, Chad D.; Oldfield, Ron A.; Weston, Matthew; Risen, R.; Cook, Jonathan E.; Rosenfeld, P. L.; Cooper-Balis, Elliott; Jacob, Bruce

doi:10.1145/1964218.1964225

Cited by 260 publications

(110 citation statements)

References 20 publications

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“…There is a plethora of MPI simulators used in HPC community ( [9], [10], and many more), but we have chosen SimGrid as its faithful online simulations with accurate modeling of network contention are needed for this type of study.…”

Section: Simgrid Simulation Frameworkmentioning

confidence: 99%

Platform Independent Profiling of a QCD Code

Marinkovic¹,

Stanisic²

2017

Proceedings of 34th Annual International Symposium on Lattice Field Theory — PoS(LATTICE2016)

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The supercomputing platforms available for high performance computing based research evolve at a great rate. However, this rapid development of novel technologies requires constant adaptations and optimizations of the existing codes for each new machine architecture. In such context, minimizing time of efficiently porting the code on a new platform is of crucial importance. A possible solution for this common challenge is to use simulations of the application that can assist in detecting performance bottlenecks. Due to prohibitive costs of classical cycle-accurate simulators, coarse-grain simulations are more suitable for large parallel and distributed systems. We present a procedure of implementing the profiling for openQCD code [1] through simulation, which will enable the global reduction of the cost of profiling and optimizing this code commonly used in the lattice QCD community. Our approach is based on well-known SimGrid simulator [2], which allows for fast and accurate performance predictions of HPC codes. Additionally, accurate estimations of the program behavior on some future machines, not yet accessible to us, are anticipated. 34th annual International Symposium on Lattice Field Theory

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Section: Simgrid Simulation Frameworkmentioning

confidence: 99%

Platform Independent Profiling of a QCD Code

Marinkovic¹,

Stanisic²

2017

Proceedings of 34th Annual International Symposium on Lattice Field Theory — PoS(LATTICE2016)

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“…The Structural Simulation Toolkit (SST) [24] (http://www. cs.sandia.gov/sst) offers simulation of novel compute-node architectures, including processor, memory, and network, of future-generation HPC systems.…”

Section: Related Workmentioning

confidence: 99%

Toward a Performance/Resilience Tool for Hardware/Software Co-design of High-Performance Computing Systems

Engelmann

Naughton

2013

2013 42nd International Conference on Parallel Processing

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Abstract-xSim is a simulation-based performance investigation toolkit that permits running high-performance computing (HPC) applications in a controlled environment with millions of concurrent execution threads, while observing application performance in a simulated extreme-scale system for hardware/software co-design. The presented work details newly developed features for xSim that permit the injection of MPI process failures, the propagation/detection/notification of such failures within the simulation, and their handling using application-level checkpoint/restart. These new capabilities enable the observation of application behavior and performance under failure within a simulated future-generation HPC system using the most common fault handling technique.

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“…The recently developed Structural Simulation Toolkit (SST) [17] offers cycle-accurate simulation of novel compute-node architectures, including processor, memory, and network. It is a modular PDES framework atop MPI that scales to a few hundred nodes with different levels of accuracy, utilizing a variety of external modeling and simulation tools.…”

Section: Hardware/software Co-designmentioning

confidence: 99%

Investigating Operating System Noise in Extreme-Scale High-Performance Computing Systems using Simulation

Engelmann

2013

Artificial Intelligence and Applications / 794: Modelling, Identification and Control / 795: Parallel and Distributed Computing

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Hardware/software co-design for future-generation highperformance computing (HPC) systems aims at closing the gap between the peak capabilities of the hardware and the performance realized by applications (applicationarchitecture performance gap). Performance profiling of architectures and applications is a crucial part of this iterative process. The work in this paper focuses on operating system (OS) noise as an additional factor to be considered for co-design. It represents the first step in including OS noise in HPC hardware/software co-design by adding a noise injection feature to an existing simulation-based co-design toolkit. It reuses an existing abstraction for OS noise with frequency (periodic recurrence) and period (duration of each occurrence) to enhance the processor model of the Extreme-scale Simulator (xSim) with synchronized and random OS noise simulation. The results demonstrate this capability by evaluating the impact of OS noise on MPI Bcast() and MPI Reduce() in a simulated futuregeneration HPC system with 2,097,152 compute nodes.

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The structural simulation toolkit

Cited by 260 publications

References 20 publications

Platform Independent Profiling of a QCD Code

Platform Independent Profiling of a QCD Code

Toward a Performance/Resilience Tool for Hardware/Software Co-design of High-Performance Computing Systems

Investigating Operating System Noise in Extreme-Scale High-Performance Computing Systems using Simulation

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