Benchcouncil's view on benchmarking ai and other emerging workloads

J Zhan, L Wang, W Gao, R Ren - arXiv preprint arXiv:1912.00572, 2019 - arxiv.org
… the workloads change very fast (so-called workload churn) [… a new benchmark or proxy for
every possible workload [18]. On … We consider each big data, AI and Internet service workload

Performance Analysis of Big Data Motifs on Large Core Machines

K Bhat, K Nai, N Shetty, Y Nagarajan… - … Conference on Cloud …, 2022 - ieeexplore.ieee.org
… In this paper, the authors aim to bridge the gap between data motifs and proxy benchmarks,
Big Data and AI Workloads [6]. The proposed solution was a data motif-based benchmark

A survey of big data, high performance computing, and machine learning benchmarks

N Ihde, P Marten, A Eleliemy, G Poerwawinata… - … and Benchmarking …, 2022 - Springer
… range from simple computational kernels, mini-apps, and proxy-… of BD and AI workloads. So
instead of applying a separate … suggest using data motif-based workloads, which is why they …

A Linear Combination-Based Method to Construct Proxy Benchmarks for Big Data Workloads

Y Yang, L Wang, J Zhan - International Symposium on Benchmarking …, 2023 - Springer
… In this paper, we use big data benchmarks as samples to illustrate the validity of our …
Data motif-based proxy benchmarks for big data and AI workloads. In: Proceedings of the …

Workload characterization of a time-series prediction system for spatio-temporal data

M Jain, S Ghosh, SP Nandanoori - Proceedings of the 19th ACM …, 2022 - dl.acm.org
… We analyze the performance profiles of multiple variants of our proxy application, developed
using … Data motif-based proxy benchmarks for big data and AI workloads. In 2018 IEEE …

Characterizing deep learning training workloads on alibaba-pai

M Wang, C Meng, G Long, C Wu… - … on workload …, 2019 - ieeexplore.ieee.org
… the impact of data traffic on workload performance by collectively investigating a large number
of … [18], [50] establish a proxy benchmark for AI workloads by identifying eight data motifs. …

Improving proxy accuracy: experiments with branch, memory, and over time behavior

SG Flolid - 2021 - repositories.lib.utexas.edu
… The proxies in this section as well as section 4.2 both compress the original … Data motifbased
proxy benchmarks for big data and AI workloads. “In 2018 IEEE International Symposium …

A unified hybrid memory system for scalable deep learning and big data applications

W Rang, H Liang, Y Wang, X Zhou, D Cheng - Journal of Parallel and …, 2024 - Elsevier
… We evaluate UniRedl with representative deep learning and big data workloads. The
experimental results demonstrate that on average UniRedl improves application performance by …

Evaluating Graph Database Systems for Biological Data

M Yu, Y Zang, S Dai, D Zheng, J Li - Big Scientific Data Benchmarks …, 2019 - Springer
workload generator to simulate the users’ operations. In the process of load data and query
data, we use the performance … Q3 workloads respectively belong to load data workloads and …

Evaluating Index Systems of High Energy Physics

S Dai, W Gao, B Xie, M Yu, J Chen, D Kong… - … Data Benchmarks …, 2019 - Springer
… The following sections will introduce chosen data sets, workloads, the workload generator, …
Data motifs: a lens towards fully understanding big data and AI workloads. In: 2018 27th …