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20172021
most citedAdaptive Neural Network-Based Approximation to Accelerate Eulerian Fluid Simulation

27 citations · 46 across the 11 of their papers we have counts for

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13 papers · 1 filter

cs.DC2021

MOARD: Modeling Application Resilience to Transient Faults on Data Objects

Luanzheng Guo, Dong Li

Understanding application resilience (or error tolerance) in the presence of hardware transient faults on data objects is critical to ensure computing integrity and enable efficien…

cs.DC2021

MATCH: An MPI Fault Tolerance Benchmark Suite

Luanzheng Guo, Giorgis Georgakoudis, Konstantinos Parasyris +2

MPI has been ubiquitously deployed in flagship HPC systems aiming to accelerate distributed scientific applications running on tens of hundreds of processes and compute nodes. Main…

cs.DC2020

Demystifying the Performance of HPC Scientific Applications on NVM-based Memory Systems

Ivy Peng, Kai Wu, Jie Ren +2

The emergence of high-density byte-addressable non-volatile memory (NVM) is promising to accelerate data- and compute-intensive applications. Current NVM technologies have lower pe…

cs.DC20191 cited

UMap: Enabling Application-driven Optimizations for Page Management

Ivy B. Peng, Marty McFadden, Eric Green +5

Leadership supercomputers feature a diversity of storage, from node-local persistent memory and NVMe SSDs to network-interconnected flash memory and HDD. Memory mapping files on di…

cs.DC20194 cited

Architecture-Aware, High Performance Transaction for Persistent Memory

Kai Wu, Jie Ren, Dong Li

Byte-addressable non-volatile main memory (NVM) demands transactional mechanisms to access and manipulate data on NVM atomically. Those transaction mechanisms often employ a loggin…

cs.DC2018

PARIS: Predicting Application Resilience Using Machine Learning

Luanzheng Guo, Dong Li, Ignacio Laguna

Extreme-scale scientific applications can be more vulnerable to soft errors (transient faults) as high-performance computing systems increase in scale. The common practice to evalu…