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Evaluating the networking characteristics of the Cray XC‐40 Intel Knights Landing‐based Cori supercomputer at NERSC
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-319-10214-6_3openalex-snapshot
Analysis of Cray XC30 Performance Using Trinity-NERSC-8 Benchmarks and Comparison with Cray XE6 and IBM BG/Q
inferredcites →https://doi.org/10.1007/978-3-642-19328-6_6openalex-snapshot
Factors Impacting Performance of Multithreaded Sparse Triangular Solve
inferredcites →https://doi.org/10.1016/s0920-5632(01)01016-7openalex-snapshot
Benchmarking MILC code with OpenMP and MPI
inferredcites →https://doi.org/10.1109/ccgrid.2012.123openalex-snapshot
Performance Modeling and Comparative Analysis of the MILC Lattice QCD Application su3_rmd
inferredcites →https://doi.org/10.1109/hotchips.2015.7477467openalex-snapshot
Knights landing (KNL): 2nd Generation Intel® Xeon Phi processor
inferredcites →https://doi.org/10.1109/sc.2014.41openalex-snapshot
Parallel De Bruijn Graph Construction and Traversal for De Novo Genome Assembly
inferredcites →https://doi.org/10.1177/1094342014552085openalex-snapshot
An evaluation of MPI message rate on hybrid-core processors
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/cpe.4378openalex-snapshot
Foreword to the special issue of the Cray User Group (CUG 2017)
inferred← citeshttps://doi.org/10.1002/cpe.5563openalex-snapshot
Scheduling data streams for low latency and high throughput on a Cray XC40 using Libfabric
inferred← citeshttps://doi.org/10.1007/978-3-030-34627-0_11openalex-snapshot
GASNet-EX: A High-Performance, Portable Communication Library for Exascale
inferred← citeshttps://doi.org/10.1007/978-3-319-67630-2_25openalex-snapshot
Analyzing Performance of Selected NESAP Applications on the Cori HPC System
inferred← citeshttps://doi.org/10.1016/j.jpdc.2022.02.002openalex-snapshot
Identifying challenges and opportunities of in-memory computing on large HPC systems
inferred← citeshttps://doi.org/10.1109/cluster.2018.00019openalex-snapshot
Exploring HPC and Big Data Convergence: A Graph Processing Study on Intel Knights Landing
inferred← citeshttps://doi.org/10.1109/cluster.2019.8890992openalex-snapshot
Compact Filters for Fast Online Data Partitioning
inferred← citeshttps://doi.org/10.1109/hpcs48598.2019.9188154openalex-snapshot
Scalability of Hybrid SpMV on Intel Xeon Phi Knights Landing
inferred← citeshttps://doi.org/10.1109/hpec55821.2022.9926376openalex-snapshot
Improved Distributed-memory Triangle Counting by Exploiting the Graph Structure
inferred← citeshttps://doi.org/10.1109/icdcs47774.2020.00045openalex-snapshot
A Comprehensive Study of In-Memory Computing on Large HPC Systems
inferred← citeshttps://doi.org/10.1109/llvmhpchipar51896.2020.00013openalex-snapshot
A Case Study and Characterization of a Many-socket, Multi-tier NUMA HPC Platform
inferred← citeshttps://doi.org/10.1109/sc.2018.00068openalex-snapshot
CosmoFlow: Using Deep Learning to Learn the Universe at Scale
inferred← citeshttps://doi.org/10.1109/tpds.2021.3101425openalex-snapshot
Characterizing Performance of Graph Neighborhood Communication Patterns
inferred← citeshttps://doi.org/10.1137/1.9781611976137.9openalex-snapshot
Leveraging One-Sided Communication for Sparse Triangular Solvers
inferred← citeshttps://doi.org/10.1145/3447545.3451183openalex-snapshot
10 Years Later: Cloud Computing is Closing the Performance Gap
inferred← citeshttps://doi.org/10.1145/3514245openalex-snapshot
A Case For Intra-rack Resource Disaggregation in HPC
inferred← citeshttps://doi.org/10.1145/3627106.3627199openalex-snapshot
Attack of the Knights:Non Uniform Cache Side Channel Attack
inferred← citeshttps://doi.org/10.1145/3687311.3687364openalex-snapshot
Research on New Encryption Technology Based on SM2 Asymmetry
inferred← citeshttps://doi.org/10.1186/s12859-020-03720-1openalex-snapshot
ADEPT: a domain independent sequence alignment strategy for gpu architectures
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