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The Pitfalls of Provisioning Exascale Networks: A Trace Replay Analysis for Understanding Communication Performance

Data movement is considered the main performance concern for exascale, including both on-node memory and off-node network communication. Indeed, many application traces show significant time spent in MPI calls, potentially indicating that faster …

Multifidelity Statistical Analysis of Large Eddy Simulations in Scramjet Computations

The development of scramjet engines is an important research area for advancing hypersonic and orbital flights. Progress towards optimal engine designs requires accurate and computationally affordable flow simulations, as well as uncertainty …

Global Sensitivity Analysis and Quantification of Model Error for Large Eddy Simulation in Scramjet Design

The development of scramjet engines is an important research area for advancing hypersonic and orbital flights. Progress towards optimal engine designs requires both accurate flow simulations as well as uncertainty quantification (UQ). However, …

Performance scaling variability and energy analysis for a resilient ULFM-based PDE solver

We present a resilient task-based domain-decomposition preconditioner for partial differential equations (PDEs) built on top of User Level Fault Mitigation Message Passing Interface (ULFM-MPI). The algorithm reformulates the PDE as a sampling …

Scalability of Partial Differential Equations Preconditioner Resilient to Soft and Hard Faults

We present a resilient domain-decomposition preconditioner for partial differential equations (PDEs). The algorithm reformulates the PDE as a sampling problem, followed by a solution update through data manipulation that is resilient to both soft and …

ULFM-MPI implementation of a resilient task-based partial differential equations preconditioner

We present a task-based domain-decomposition preconditioner for partial differential equations (PDEs) resilient to silent data corruption (SDC) and hard faults. The algorithm exploits a reformulation of the PDE as a sampling problem, followed by a …

Partial differential equations preconditioner resilient to soft and hard faults

We present a domain-decomposition-based pre-conditioner for the solution of partial differential equations (PDEs) that is resilient to both soft and hard faults. The algorithm is based on the following steps: first, the computational domain is split …

Uncertainty Quantification Methods for Model Calibration, Validation, and Risk Analysis

In this paper we propose a series of methodologies to address the problems in the NASA Langley Multidisciplinary UQ Challenge. A Bayesian approach is employed to characterize and calibrate the epistemic parameters in problem A, while variance-based …

Validation and uncertainty assessment of extreme-scale HPC simulation through Bayesian inference

Simulation of high-performance computing (HPC) systems plays a critical role in their development - especially as HPC moves toward the co-design model used for embedded systems, tying hardware and software into a unified design cycle. Exploring …

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