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 …

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 …

The nebula benchmark suite: Implications of lightweight neural networks

B Kim, S Lee, C Park, H Kim… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
… The lightweight benchmarks aim at emulating the proxy … individual benchmarks with
various input data sizes that … We classify the operations of neural network workloads into five …

Zju-leaper: A benchmark dataset for fabric defect detection and a comparative study

C Zhang, S Feng, X Wang… - … on Artificial Intelligence, 2020 - ieeexplore.ieee.org
… For instance, the workload of mask labeling is about 15 times … are reliable proxies for the
performance of inspection models. … , “Performance evaluation for motif-based patterned texture …

Parallel peeling of bipartite networks for hierarchical dense subgraph discovery

K Lakhotia, R Kannan, V Prasanna - ACM Transactions on Parallel …, 2023 - dl.acm.org
… Wing and Tip decomposition are motif-based analytics for … as a proxy to estimate
peeling workload in representative … We also note that the performance of PBNG is robust (within …

On-NAS: On-Device Neural Architecture Search on Memory-Constrained Intelligent Embedded Systems

B Kim, S Lee - Proceedings of the 21st ACM Conference on …, 2023 - dl.acm.org
… that offload the NAS workloads as well as the device data to the … NAS benchmark tasks widely
used to assess the performance … In the cell motif-based architecture of On-NAS, a total of 𝑛 …