Jul 2026· Practice and Experience in Advanced Research Computing· pp. 1-3· 0 citations· 10 references
Computer Science
TL;DR
The results reveal that x86 instances outperform ARM-based instances in raw HPL throughput, that latest CPU generations offer substantially better price-performance, and that spot pricing offers additional opportunities for reducing execution costs.
Abstract
This poster presents performance results and cost analysis of the High Performance Computing Challenge (HPCC) benchmark suite across diverse commercial cloud compute instances. We evaluate HPL (High Performance Linpack) performance and spot instance pricing on AMD EPYC, ARM, and Intel Xeon architectures under Amazon Web Services, Google Cloud, and Microsoft Azure. Our results reveal that x86 instances outperform ARM-based instances in raw HPL throughput, that latest CPU generations offer substantially better price-performance, and that spot pricing offers additional opportunities for reducing execution costs. These findings offer practical recommendations for researchers considering commercial cloud resources for small-scale computationally intensive workloads.
This paper conducts a comprehensive evaluation of general-purpose compute instances offered by leading cloud service providers, focusing on the interplay between processor architecture, cost, and performance metrics. Utilizing standardized configurations and benchmarking methodologies across Intel, AMD, and ARM archite...
Rahul Sadhwani· International Conference on...· 0 citations
Results show that selecting instances based on the second PI achieves at least 97% of the best achievable execution time in most cases, while highlighting cases where additional PIs improve selection accuracy.
J. R. Brunetta, J. F. Borin, E. Borin· Concurrency and Computation· 0 citations
The findings indicate that integrating a provider-independent resource selection strategy with a structured cloud-native deployment approach can enhance the efficiency of scientific workload execution in HPC cloud environments.
This work investigates the feasibility of reproducing benchmarks originally run on datacenter GPUs such as the NVIDIA A100 and RTX 8000 using consumer-grade graphics cards, focusing on the NVIDIA GeForce RTX 3050 and GTX 1060 with CUDA Graphs support. Seven NAS Parallel Benchmarks (BT, LU, SP, EP, IS, MG, and CG) are e...
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The new EMC+ proposal is an OS‐driven elasticity manager for container‐based environments that continuously estimates idle core cycles left by regular (inelastic) applications, and reallocates idle cores to elastic ones, even during short time intervals, and has minimal impact on the performance and QoS of colocated in...
J. C. Saez, Carlos Bilbao, Manuel Prieto-Matías· Concurrency and Computation· 0 citations
CC-Bench is presented, a lightweight, extensible, and application-oriented benchmark suite for evaluating communication compression under realistic execution conditions, and uses declarative application-environment modeling to decouple profiling logic from communication libraries, datasets, and fidelity metrics, enabli...
Hao Fan, Wei Wang, Xing-Chen Liu et al.· 0 citations
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