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Publication search results
found 20 matches
- 2023
- Prarthana Pillai, Balakumar Balasingam, Francesco N. Biondi:
Model-Based Estimation of Mental Workload in Drivers Using Pupil Size Measurements. AIM 2023: 815-821 - 2021
- Gyouhyung Kyung:
Effects of E-Mirror Location and Size and Lane Change Direction on Lane Change Time, Eye-Off-Road Time, Mental Workload, and Preference. IEEE Access 9: 121541-121548 (2021) - Marek Grzegorowski, Eftim Zdravevski, Andrzej Janusz, Petre Lameski, Cas Apanowicz, Dominik Slezak:
Cost Optimization for Big Data Workloads Based on Dynamic Scheduling and Cluster-Size Tuning. Big Data Res. 25: 100203 (2021) - Matthias Thürer, Lin Ma, Mark Stevenson:
Workload Control order release in general and pure flow shops with limited buffer size induced blocking: an assessment by simulation. Int. J. Prod. Res. 59(8): 2558-2569 (2021) - Zhengda Bian, Shenggui Li, Wei Wang, Yang You:
Online evolutionary batch size orchestration for scheduling deep learning workloads in GPU clusters. SC 2021: 100 - Zhengda Bian, Shenggui Li, Wei Wang, Yang You:
Online Evolutionary Batch Size Orchestration for Scheduling Deep Learning Workloads in GPU Clusters. CoRR abs/2108.03645 (2021) - 2020
- Yansong Zhang, Yu Zhang, Jiaheng Lu, Shan Wang, Zhuan Liu, Ruichen Han:
One size does not fit all: accelerating OLAP workloads with GPUs. Distributed Parallel Databases 38(4): 995-1037 (2020) - 2019
- Juan Fang, Kuan Zhou, Chen Tan, Hui Zhao:
Dynamic Block Size Adjustment and Workload Balancing Strategy Based on CPU-GPU Heterogeneous Platform. ISPA/BDCloud/SocialCom/SustainCom 2019: 999-1006 - 2018
- Roman Bednarik, Piotr Bartczak, Hana Vrzakova, Jani Koskinen, Antti-Pekka Elomaa, Antti Huotarinen, David Gil de Gómez Pérez, Mikael von und zu Fraunberg:
Pupil size as an indicator of visual-motor workload and expertise in microsurgical training tasks. ETRA 2018: 60:1-60:5 - Vanessa Ayala-Rivera, Maciej Kaczmarski, John Murphy, Amarendra Darisa, A. Omar Portillo-Dominguez:
One Size Does Not Fit All: In-Test Workload Adaptation for Performance Testing of Enterprise Applications. ICPE 2018: 211-222 - 2015
- Thomas M. Gable, Andrew L. Kun, Bruce N. Walker, Riley J. Winton:
Comparing heart rate and pupil size as objective measures of workload in the driving context: initial look. AutomotiveUI (adjunct) 2015: 20-25 - Anouk Van Laer, William Wang, Christopher D. Emmons:
Inefficiencies in the Cache Hierarchy: A Sensitivity Study of Cacheline Size with Mobile Workloads. MEMSYS 2015: 235-245 - 2012
- Ningfang Mi, Giuliano Casale, Evgenia Smirni:
ASIdE: Using Autocorrelation-Based Size Estimation for Scheduling Bursty Workloads. IEEE Trans. Netw. Serv. Manag. 9(2): 198-212 (2012) - 2008
- Guofu Li, Wenming Xia, Feifan Ye, Yongjian Li:
Study on Production Process Control of Virtual Organization in Small and Medium-Sized Enterprises Based on Manufacturing Resource Workload. CSSE (6) 2008: 479-482 - 2006
- Robert Elsässer, Burkhard Monien, Stefan Schamberger:
Distributing Unit Size Workload Packages in Heterogeneous Networks. J. Graph Algorithms Appl. 10(1): 51-68 (2006) - Luiz André Barroso:
Warehouse-Sized Workloads. IISWC 2006: 3 - Ming Wu, Xiao-Ming Dong, Huaiyang Li:
Queue Network Modeling Approach to Analysis of the Optimal Stripe Unit Size for Disk Arrays under Synchronous I/O Workloads. IWNAS 2006: 36-42 - 2005
- Mostafa Rezazad, Hamid Sarbazi-Azad:
Performance Evaluation of Fully Adaptive Routing Under Different Workloads and Constant Node Buffer Size. ICPADS (2) 2005: 510-514 - 1997
- Thin-Fong Tsuei, Allan Packer, Keng-Tai Ko:
Database Buffer Size Investigation for OLTP Workloads (Experience Paper). SIGMOD Conference 1997: 112-122 - 1985
- Kathryn E. Stecke, James J. Solberg:
The Optimality of Unbalancing Both Workloads and Machine Group Sizes in Closed Queueing Networks of Multiserver Queues. Oper. Res. 33(4): 882-910 (1985)
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