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Evaluating ARM HPC clusters for scientific workloads

https://doi.org/10.1002/cpe.3602
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What this work says

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

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A comparative study of Java and C performance in two large‐scale parallel applications
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Skeletons from the Treecode Closet
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Towards Energy Efficient Parallel Computing on Consumer Electronic Devices
inferredcites →https://doi.org/10.1007/978-3-642-40517-4_16openalex-snapshot
Performance Evaluation and Energy Efficiency of High-Density HPC Platforms Based on Intel, AMD and ARM Processors
inferredcites →https://doi.org/10.1016/j.future.2013.07.013openalex-snapshot
Tibidabo: Making the case for an ARM-based HPC system
inferredcites →https://doi.org/10.1016/j.jpdc.2012.08.005openalex-snapshot
Towards green data centers: A comparison of x86 and ARM architectures power efficiency
inferredcites →https://doi.org/10.1109/ccgrid.2012.84openalex-snapshot
Energy- and Cost-Efficiency Analysis of ARM-Based Clusters
inferredcites →https://doi.org/10.1109/cluster.2012.74openalex-snapshot
Towards Fault-Tolerant Energy-Efficient High Performance Computing in the Cloud
inferredcites →https://doi.org/10.1109/clustr.2006.311890openalex-snapshot
MPJ Express: Towards Thread Safe Java HPC
inferredcites →https://doi.org/10.1109/hpca.2013.6522302openalex-snapshot
Power struggles: Revisiting the RISC vs. CISC debate on contemporary ARM and x86 architectures
inferredcites →https://doi.org/10.1109/icppw.2012.21openalex-snapshot
Evaluating Performance and Energy on ARM-based Clusters for High Performance Computing
inferredcites →https://doi.org/10.1109/ipdps.2006.1639600openalex-snapshot
Making a case for a Green500 list
inferredcites →https://doi.org/10.1109/ipdps.2011.18openalex-snapshot
Architectural Constraints to Attain 1 Exaflop/s for Three Scientific Application Classes
inferredcites →https://doi.org/10.1109/ipdps.2011.225openalex-snapshot
Performance, Power, and Thermal Analysis of Low-Power Processors for Scale-Out Systems
inferredcites →https://doi.org/10.1109/ipdpsw.2012.123openalex-snapshot
The Green Index: A Metric for Evaluating System-Wide Energy Efficiency in HPC Systems
inferredcites →https://doi.org/10.1109/mc.2010.75openalex-snapshot
Parallelism via Multithreaded and Multicore CPUs
inferredcites →https://doi.org/10.1109/mcse.2010.95openalex-snapshot
Embedded Systems and Exascale Computing
inferredcites →https://doi.org/10.1109/pdp.2009.59openalex-snapshot
NPB-MPJ: NAS Parallel Benchmarks Implementation for Message-Passing in Java
inferredcites →https://doi.org/10.1109/wamca.2012.10openalex-snapshot
Time-to-Solution and Energy-to-Solution: A Comparison between ARM and Xeon
inferredcites →https://doi.org/10.1111/j.1365-2966.2005.09655.xopenalex-snapshot
The cosmological simulation code gadget-2
inferredcites →https://doi.org/10.1145/1454115.1454128openalex-snapshot
The PARSEC benchmark suite
inferredcites →https://doi.org/10.1145/1596655.1596661openalex-snapshot
Java for high performance computing
inferredcites →https://doi.org/10.1145/1629575.1629577openalex-snapshot
FAWN
inferredcites →https://doi.org/10.1145/1791314.1791347openalex-snapshot
Energy-efficient cluster computing with FAWN
inferredcites →https://doi.org/10.1145/1851476.1851535openalex-snapshot
Case study for running HPC applications in public clouds
inferredcites →https://doi.org/10.1145/2133173.2133175openalex-snapshot
The low-power architecture approach towards exascale computing
inferredcites →https://doi.org/10.1145/2465529.2465553openalex-snapshot
On understanding the energy consumption of ARM-based multicore servers
inferredcites →https://doi.org/10.1145/2494232.2465553openalex-snapshot
On understanding the energy consumption of ARM-based multicore servers
inferredcites →https://doi.org/10.1145/2503210.2503281openalex-snapshot
Supercomputing with commodity CPUs
inferredcites →https://doi.org/10.1145/502034.502044openalex-snapshot
Real-time dynamic voltage scaling for low-power embedded operating systems
inferredcites →https://doi.org/10.1145/502059.502044openalex-snapshot
Real-time dynamic voltage scaling for low-power embedded operating systems
inferredcites →https://doi.org/10.2200/s00193ed1v01y200905cac006openalex-snapshot
The Datacenter as a Computer: An Introduction to the Design of Warehouse-Scale Machines
inferredcites →https://doi.org/10.5555/1898699.1898827openalex-snapshot
Making a case for a Green500 list
inferredcites →https://doi.org/10.7873/date.2013.103openalex-snapshot
Experiences with Mobile Processors for Energy Efficient HPC

What points at this work

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

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Exploring the Feasibility of Raspberry Pi 4 Model B Clusters as an Alternative to Advanced Process Chip Computers
inferred← citeshttps://doi.org/10.1007/s11227-018-2407-5openalex-snapshot
Optimization of resources in parallel systems using a multiobjective artificial bee colony algorithm
inferred← citeshttps://doi.org/10.1007/s11227-019-02911-9openalex-snapshot
The survey on ARM processors for HPC
inferred← citeshttps://doi.org/10.1016/j.future.2025.108137openalex-snapshot
Re-evaluating compute performance in SBC clusters: HPL benchmarking across generations
inferred← citeshttps://doi.org/10.1016/j.jpdc.2019.11.007openalex-snapshot
Improving the performance of physics applications in atom-based clusters with rCUDA
inferred← citeshttps://doi.org/10.1016/j.micpro.2017.06.019openalex-snapshot
Efficiency modeling and exploration of 64-bit ARM compute nodes for exascale
inferred← citeshttps://doi.org/10.1016/j.sysarc.2023.103035openalex-snapshot
Monintainer: An orchestration-independent extensible container-based monitoring solution for large clusters
inferred← citeshttps://doi.org/10.1051/epjconf/202533701147openalex-snapshot
Experience with ARM WNs at the WLCG Tier1 GridKa
inferred← citeshttps://doi.org/10.1109/cluster.2017.86openalex-snapshot
Understanding the Role of GPGPU-Accelerated SoC-Based ARM Clusters
inferred← citeshttps://doi.org/10.1109/hoti.2016.024openalex-snapshot
Offloading Collective Operations to Programmable Logic on a Zynq Cluster
inferred← citeshttps://doi.org/10.1109/icpads47876.2019.00057openalex-snapshot
An Empirical Study of HPC Workloads on Huawei Kunpeng 916 Processor
inferred← citeshttps://doi.org/10.1109/ispass.2017.7975275openalex-snapshot
Crossing the architectural barrier: Evaluating representative regions of parallel HPC applications
inferred← citeshttps://doi.org/10.1109/noms.2018.8406158openalex-snapshot
Energy models for NFV and service provisioning on fog nodes
inferred← citeshttps://doi.org/10.1109/sc41405.2020.00052openalex-snapshot
Chronicles of Astra: Challenges and Lessons from the First Petascale Arm Supercomputer
inferred← citeshttps://doi.org/10.1145/3229710.3229733openalex-snapshot
Exploring the Use of Remote GPU Virtualization in Low-Power Systems for Bioinformatics Applications
inferred← citeshttps://doi.org/10.1145/3229710.3229739openalex-snapshot
Leveraging rCUDA for Enhancing Low-Power Deployments in the Physics Domain
inferred← citeshttps://doi.org/10.1145/3232162openalex-snapshot
Scale-Out vs Scale-Up
inferred← citeshttps://doi.org/10.1145/3503470.3503475openalex-snapshot
Simple adaptations to speed-up the Particle-In-Cell code Smilei on the ARM-based Fujitsu A64FX processor
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/10.15439/2016f498openalex-snapshot
Superlinear Speedup in HPC Systems: why and when?
inferred← citeshttps://doi.org/10.22360/springsim.2016.hpc.022openalex-snapshot
Evaluation of Mobile ARM-Based SoCs for High Performance Computing
inferred← citeshttps://doi.org/10.22395/rium.v19n37a4openalex-snapshot
Evaluation of Clusters based on Systems on a Chip for High-Performance Computing: A Review
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