On the public citation graph

Addressing Failures in Exascale Computing

https://doi.org/10.2172/1078029
0 signed · 45 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-319-15976-8_7openalex-snapshot
Overcoming Asynchrony: An Analysis of the Effects of Asynchronous Noise on Nearest Neighbor Synchronizations
inferred← citeshttps://doi.org/10.1007/978-3-319-20943-2_2openalex-snapshot
Errors and Faults
inferred← citeshttps://doi.org/10.1007/978-3-319-41321-1_24openalex-snapshot
Scalability of Partial Differential Equations Preconditioner Resilient to Soft and Hard Faults
inferred← citeshttps://doi.org/10.1007/978-3-642-54420-0_71openalex-snapshot
Using Performance Tools to Support Experiments in HPC Resilience
inferred← citeshttps://doi.org/10.1007/s11227-016-1752-5openalex-snapshot
Rolex: resilience-oriented language extensions for extreme-scale systems
inferred← citeshttps://doi.org/10.1007/s11227-020-03324-9openalex-snapshot
Thermal neutrons: a possible threat for supercomputer reliability
inferred← citeshttps://doi.org/10.1016/j.compfluid.2019.01.005openalex-snapshot
Towards Exascale Lattice Boltzmann computing
inferred← citeshttps://doi.org/10.1016/j.parco.2017.05.005openalex-snapshot
Exploring the interplay of resilience and energy consumption for a task-based partial differential equations preconditioner
inferred← citeshttps://doi.org/10.1098/rsta.2013.0319openalex-snapshot
Trends in high-performance computing for engineering calculations
inferred← citeshttps://doi.org/10.1109/ccgrid.2015.30openalex-snapshot
DualVisor: Redundant Hypervisor Execution for Achieving Hardware Error Resilience in Datacenters
inferred← citeshttps://doi.org/10.1109/ccgrid49817.2020.00-73openalex-snapshot
Tracking scientific simulation using online time-series modelling
inferred← citeshttps://doi.org/10.1109/cluster.2015.101openalex-snapshot
Understanding the Propagation of Error Due to a Silent Data Corruption in a Sparse Matrix Vector Multiply
inferred← citeshttps://doi.org/10.1109/ftxs56515.2022.00009openalex-snapshot
Implicit Actions and Non-blocking Failure Recovery with MPI
inferred← citeshttps://doi.org/10.1109/gcc45510.2019.1570516010openalex-snapshot
Failure Characterization and Prediction of Scheduling Jobs in Google Cluster Traces
inferred← citeshttps://doi.org/10.1109/icdcs.2017.317openalex-snapshot
Learning from Failure Across Multiple Clusters: A Trace-Driven Approach to Understanding, Predicting, and Mitigating Job Terminations
inferred← citeshttps://doi.org/10.1109/icpads.2015.71openalex-snapshot
Versioning Architectures for Local and Global Memory
inferred← citeshttps://doi.org/10.1109/icpp.2014.43openalex-snapshot
Xentry: Hypervisor-Level Soft Error Detection
inferred← citeshttps://doi.org/10.1109/icppw.2016.56openalex-snapshot
Evaluating Online Global Recovery with Fenix Using Application-Aware In-Memory Checkpointing Techniques
inferred← citeshttps://doi.org/10.1109/irps.2016.7574516openalex-snapshot
Extreme scale and bleeding edge technology lead to a need for resilient high performance computing systems
inferred← citeshttps://doi.org/10.1109/mcse.2013.96openalex-snapshot
Programming for Exascale Computers
inferred← citeshttps://doi.org/10.1109/sbac-pad49847.2020.00041openalex-snapshot
Towards Communication Profile, Topology and Node Failure Aware Process Placement
inferred← citeshttps://doi.org/10.1109/sc.2014.78openalex-snapshot
Exploring Automatic, Online Failure Recovery for Scientific Applications at Extreme Scales
inferred← citeshttps://doi.org/10.1109/sc41405.2020.00092openalex-snapshot
GPU-Trident: Efficient Modeling of Error Propagation in GPU Programs
inferred← citeshttps://doi.org/10.1109/tpds.2017.2696538openalex-snapshot
Modeling and Simulating Multiple Failure Masking Enabled by Local Recovery for Stencil-Based Applications at Extreme Scales
inferred← citeshttps://doi.org/10.1137/16m1100691openalex-snapshot
Is the Multigrid Method Fault Tolerant? The Two-Grid Case
inferred← citeshttps://doi.org/10.1145/2742351openalex-snapshot
Noise-Tolerant Explicit Stencil Computations for Nonuniform Process Execution Rates
inferred← citeshttps://doi.org/10.1145/2751504.2751507openalex-snapshot
Resilient Matrix Multiplication of Hierarchical Semi-Separable Matrices
inferred← citeshttps://doi.org/10.1145/2751504.2751512openalex-snapshot
Empirical Studies of the Soft Error Susceptibility ofSorting Algorithms to Statistical Fault Injection
inferred← citeshttps://doi.org/10.1145/3152041.3152083openalex-snapshot
Automatic Risk-based Selective Redundancy for Fault-tolerant Task-parallel HPC Applications
inferred← citeshttps://doi.org/10.1145/3337821.3337849openalex-snapshot
How to Make the Preconditioned Conjugate Gradient Method Resilient Against Multiple Node Failures
inferred← citeshttps://doi.org/10.1145/3402451openalex-snapshot
FPD etect
inferred← citeshttps://doi.org/10.1145/3577193.3593715openalex-snapshot
Anatomy of High-Performance GEMM with Online Fault Tolerance on GPUs
inferred← citeshttps://doi.org/10.12694/scpe.v16i4.1134openalex-snapshot
On Processing Extreme Data
inferred← citeshttps://doi.org/10.12794/metadc499993openalex-snapshot
Autonomic Failure Identification and Diagnosis for Building Dependable Cloud Computing Systems
inferred← citeshttps://doi.org/10.14529/jsfi150203openalex-snapshot
Resilience within Ultrascale Computing System: Challenges and Opportunities from Nesus Project
inferred← citeshttps://doi.org/10.14569/ijacsa.2018.090217openalex-snapshot
Toward Exascale Computing Systems: An Energy Efficient Massive Parallel Computational Model
inferred← citeshttps://doi.org/10.17760/d20290419openalex-snapshot
Transparent checkpointing over RDMA-based networks
inferred← citeshttps://doi.org/10.17760/d20412322openalex-snapshot
Toward efficient resource utilization of a GPU-accelerated AI supercomputer
inferred← citeshttps://doi.org/10.2172/1333645openalex-snapshot
Is the Multigrid Method Fault Tolerant? The Two-Grid Case
inferred← citeshttps://doi.org/10.2172/1338552openalex-snapshot
Resilience Design Patterns - A Structured Approach to Resilience at Extreme Scale (version 1.0)
inferred← citeshttps://doi.org/10.2172/1436045openalex-snapshot
Resilience Design Patterns - A Structured Approach to Resilience at Extreme Scale (version 1.2)
inferred← citeshttps://doi.org/10.2172/1922296openalex-snapshot
Resilience Design Patterns: A Structured Approach to Resilience at Extreme Scale (V.2.0)
inferred← citeshttps://doi.org/10.35537/10915/58554openalex-snapshot
Computer Science & Technology Series
inferred← citeshttps://doi.org/10.35537/10915/98816openalex-snapshot
SEDAR: Detección y recuperación automática de fallos transitorios en sistemas de cómputo de altas prestaciones
inferred← citeshttps://doi.org/10.53106/160792642022052303006openalex-snapshot
MIS Based on IoT and Cloud Services: Governmental Organizations Perspective
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.