On the public citation graph

Application kernels: HPC resources performance monitoring and variance analysis

https://doi.org/10.1002/cpe.3564
0 signed · 35 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 See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.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 this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/cpe.2871openalex-snapshot
Performance metrics and auditing framework using application kernels for high‐performance computer systems
inferredcites →https://doi.org/10.1002/cpe.3245openalex-snapshot
Comprehensive, open‐source resource usage measurement and analysis for HPC systems
inferredcites →https://doi.org/10.1002/cpe.728openalex-snapshot
The LINPACK Benchmark: past, present and future
inferredcites →https://doi.org/10.1002/jcc.20289openalex-snapshot
Scalable molecular dynamics with NAMD
inferredcites →https://doi.org/10.1002/jcc.540141112openalex-snapshot
General atomic and molecular electronic structure system
inferredcites →https://doi.org/10.1016/j.cpc.2010.04.018openalex-snapshot
NWChem: A comprehensive and scalable open-source solution for large scale molecular simulations
inferredcites →https://doi.org/10.1016/j.cpc.2011.11.013openalex-snapshot
Mapping application performance to HPC architecture
inferredcites →https://doi.org/10.1016/j.parco.2004.04.001openalex-snapshot
The ganglia distributed monitoring system: design, implementation, and experience
inferredcites →https://doi.org/10.1109/mcse.2014.80openalex-snapshot
XSEDE: Accelerating Scientific Discovery
inferredcites →https://doi.org/10.1109/srds.2013.20openalex-snapshot
Linking Resource Usage Anomalies with System Failures from Cluster Log Data
inferredcites →https://doi.org/10.1145/1188455.1188677openalex-snapshot
S12---The HPC Challenge (HPCC) benchmark suite
inferredcites →https://doi.org/10.1145/1838574.1838583openalex-snapshot
End-to-end framework for fault management for open source clusters
inferredcites →https://doi.org/10.1145/2462029.2462036openalex-snapshot
Automatically mining program build information via signature matching
inferredcites →https://doi.org/10.1145/2484762.2484763openalex-snapshot
Using XDMoD to facilitate XSEDE operations, planning and analysis
inferredcites →https://doi.org/10.1145/2484762.2484781openalex-snapshot
Comprehensive job level resource usage measurement and analysis for XSEDE HPC systems
inferredcites →https://doi.org/10.1145/2503210.2503230openalex-snapshot
Enabling comprehensive data-driven system management for large computational facilities
inferredcites →https://doi.org/10.1145/2616498.2616533openalex-snapshot
An Analysis of Node Sharing on HPC Clusters using XDMoD/TACC_Stats
inferredcites →https://doi.org/10.1145/264107.264146openalex-snapshot
Effects of communication latency, overhead, and bandwidth in a cluster architecture
inferredcites →https://doi.org/10.1145/602770.602811openalex-snapshot
Non-contiguous processor allocation algorithms for distributed memory multicomputers
inferredcites →https://doi.org/10.1201/9781584889106-15openalex-snapshot
Simulating Cosmological Evolution with Enzo
inferredcites →https://doi.org/10.2172/1081802openalex-snapshot
Scientific Application Requirements for Leadership Computing at the Exascale
inferredcites →https://doi.org/10.5555/602770.602811openalex-snapshot
Non-contiguous processor allocation algorithms for distributed memory multicomputers

What points at this work

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

inferred← citeshttps://doi.org/10.1007/978-3-032-07612-0_5openalex-snapshot
What Time Taught Us: Monitoring a Computing Technology Testbed Across Multiple Years
inferred← citeshttps://doi.org/10.1007/s42979-024-02958-3openalex-snapshot
First Impressions of the Sapphire Rapids Processor with HBM for Scientific Workloads
inferred← citeshttps://doi.org/10.1016/j.future.2019.03.029openalex-snapshot
Managing computational gateway resources with XDMoD
inferred← citeshttps://doi.org/10.1109/cluster.2015.114openalex-snapshot
Analysis of XDMoD/SUPReMM Data Using Machine Learning Techniques
inferred← citeshttps://doi.org/10.1109/cluster.2018.00074openalex-snapshot
Federating XDMoD to Monitor Affiliated Computing Resources
inferred← citeshttps://doi.org/10.1109/scw63240.2024.00081openalex-snapshot
Benchmarking and Continuous Performance Monitoring of Ookami, an ARM Fujitsu A64FX Testbed Cluster
inferred← citeshttps://doi.org/10.1145/2949550.2949553openalex-snapshot
A Quantitative Analysis of Node Sharing on HPC Clusters Using XDMoD Application Kernels
inferred← citeshttps://doi.org/10.1145/3219104.3229289openalex-snapshot
PaPaS
inferred← citeshttps://doi.org/10.1145/3581576.3581618openalex-snapshot
Are we ready for broader adoption of ARM in the HPC community: Performance and Energy Efficiency Analysis of Benchmarks and Applications Executed on High-End ARM Systems
inferred← citeshttps://doi.org/10.1145/3636480.3637097openalex-snapshot
First Impressions of the NVIDIA Grace CPU Superchip and NVIDIA Grace Hopper Superchip for Scientific Workloads
inferred← citeshttps://doi.org/10.1145/3708035.3736000openalex-snapshot
Data Driven CI System Design and Procurement with Open XDMoD
inferred← citeshttps://doi.org/10.48550/arxiv.1801.04306openalex-snapshot
A Workload Analysis of NSF's Innovative HPC Resources Using XDMoD
inferred← citeshttps://doi.org/10.48550/arxiv.1801.04329openalex-snapshot
Effect of Meltdown and Spectre Patches on the Performance of HPC Applications
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.