Physiological workload assessment for highly flexible fine-motory assembly tasks using machine learning - Markus Brillinger; Samuel Manfredi; Dominik Leder; Martin Bloder; Markus Jäger; Konrad Diwold; Amer Kajmakovic; Michael Haslgrübler; Rudolf Pichler; Martin Brunner; Stefan Mehr; Viktorijo Malisa (Comput. Ind. Eng., 2024)

Job rotations based on physical and psychological workloads: A proposal for the footwear industry - Wilza Karla dos Santos Leite; Anísio José da Silva Araújo; Luiz Bueno da Silva; Luciano Carlos Azevedo da Costa; Jonhatan Magno Norte da Silva; Elamara Marama de Araujo Vieira; Erivaldo Lopes de Souza; Hugo Harry Frederico Ribeiro Kramer; Romero Cardoso Oliveira (Comput. Ind. Eng., 2024)

Rescheduling serverless workloads across the cloud-to-edge continuum - Sebastián Risco; Caterina Alarcón; Sergio Langarita; Miguel Caballer; Germán Moltó (Future Gener. Comput. Syst., 2024)

Exploiting inherent elasticity of serverless in algorithms with unbalanced and irregular workloads - Gerard Finol; Gerard París; Pedro García López; Marc Sánchez Artigas (J. Parallel Distributed Comput., 2024)

A novel framework for generic Spark workload characterization and similar pattern recognition using machine learning - Mariano Garralda-Barrio; Carlos Eiras-Franco; Verónica Bolón-Canedo (J. Parallel Distributed Comput., 2024)

Arvon: A Heterogeneous System-in-Package Integrating FPGA and DSP Chiplets for Versatile Workload Acceleration - Wei Tang; Sung-Gun Cho; Tim Tri Hoang; Jacob Botimer; Wei Qiang Zhu; Ching-Chi Chang; Cheng-Hsun Lu; Junkang Zhu; Yaoyu Tao; Tianyu Wei; Naomi Kavi Motwani; Mani Yalamanchi; et al. (IEEE J. Solid State Circuits, 2024)

Efficient Processing of MLPerf Mobile Workloads Using Digital Compute-In-Memory Macros - Xiaoyu Sun; Weidong Cao; Brian Crafton; Kerem Akarvardar; Haruki Mori; Hidehiro Fujiwara; Hiroki Noguchi; Yu-Der Chih; Meng-Fan Chang; Yih Wang; Tsung-Yung Jonathan Chang (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

Exploring Page-based RDMA for Irregular GPU Workloads. A case study on NVMe-backed GNN Execution - Benjamin Wagley; Pak Markthub; James Crea; Bo Wu; Mehmet Esat Belviranli (16th Workshop on General Purpose Processing Using GPU, GPGPU 2024, Edinburgh, United Kingdom, 2 March 2024, 2024)

Predicting Human Teammate's Workload - Mark-Robin Giolando; Julie A. Adams (Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, HRI 2024, Boulder, CO, USA, March 11-15, 2024, 2024)

Work Tempo Instruction Framework for Balancing Human Workload and Productivity in Repetitive Task - Naoki Shirakura; Natsuki Yamanobe; Tsubasa Maruyama; Yukiyasu Domae; Tetsuya Ogata (Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, HRI 2024, Boulder, CO, USA, March 11-15, 2024, 2024)

Disambiguating Performance Anomalies from Workload Changes in Cloud-Native Applications - Alexandru Baluta; Yar Rouf; Joydeep Mukherjee; Zhen Ming Jiang; Marin Litoiu (Proceedings of the 15th ACM/SPEC International Conference on Performance Engineering, ICPE 2024, London, United Kingdom, May 7-11, 2024, 2024)

LearnedWMP: Workload Memory Prediction Using Distribution of Query Templates - Shaikh Quader; Andres Jaramillo; Sumona Mukhopadhyay; Ghadeer Abuoda; Calisto Zuzarte; David Kalmuk; Marin Litoiu; Manos Papagelis (CoRR, 2024)

Profiling and Modeling of Power Characteristics of Leadership-Scale HPC System Workloads - Ahmad Maroof Karimi; Naw Safrin Sattar; Woong Shin; Feiyi Wang (CoRR, 2024)

Cost-Sensitive Learning to Defer to Multiple Experts with Workload Constraints - Jean V. Alves; Diogo Leitão; Sérgio M. Jesus; Marco O. P. Sampaio; Javier Liébana; Pedro Saleiro; Mário A. T. Figueiredo; Pedro Bizarro (CoRR, 2024)

Orchestrating Mixed-Criticality Cloud Workloads in Reconfigurable Manufacturing Systems - Marco Barletta; Marcello Cinque; Davide De Vita (CoRR, 2024)

Integrated High-Workload Services for E-Learning - Darius Mihai; Maria-Elena Mihailescu; Mihai Carabas; Nicolae Tapus (IEEE Access, 2023)

Workload-Aware Scheduling Using Markov Decision Process for Infrastructure-Assisted Learning-Based Multi-UAV Surveillance Networks - Soohyun Park; Chanyoung Park; Soyi Jung; Jae-Hyun Kim; Joongheon Kim (IEEE Access, 2023)

Towards reducing visual workload in surgical navigation: proof-of-concept of an augmented reality haptic guidance system - Gesiren Zhang; Jan Bartels; Alejandro Martin-Gomez; Mehran Armand (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2023)

Seamless Thermal Optimization of Parallel Workloads - Sandro Matheus V. N. Marques; Fábio Diniz Rossi; Marcelo Caggiani Luizelli; Antonio Carlos Schneider Beck; Arthur Francisco Lorenzon (IEEE Des. Test, 2023)

Exact and heuristic methods for a workload allocation problem with chain precedence constraints - Jordi Pereira; Marcus Ritt (Eur. J. Oper. Res., 2023)

Smart workload input-output control of production systems: A proof of concept - Juliana Keiko Sagawa; Allan Freitas Oliveira; Gasper Music; Martin J. Land; Arthur Sarro Maluf (Eur. J. Oper. Res., 2023)

Workload categorization for hazardous industries: The semantic modelling of multi-modal physiological data - Jemma L. König; Annika Hinze; Judy Bowen (Future Gener. Comput. Syst., 2023)

Cloud White: Detecting and Estimating QoS Degradation of Latency-Critical Workloads in the Public Cloud - Lucia Pons; Josué Feliu; Julio Sahuquillo; María Engracia Gómez; Salvador Petit; Julio Pons; Chaoyi Huang (Future Gener. Comput. Syst., 2023)

Effect of Secondary Tasks on Police Officer Cognitive Workload and Performance Under Normal and Pursuit Driving Situations - Maryam Zahabi; Vanessa Nasr; Ashiq Mohammed Abdul Razak; Ben Patranella; Logan McCanless; Azima Maredia (Hum. Factors, 2023)

Workload Monitoring Tools in Field-Based Team Sports, the Emerging Technology and Analytics used for Performance and Injury Prediction: A Systematic Review - Georgia Keys; Lisa Ryan; Maria Faulkner; Michael McCann (Int. J. Comput. Sci. Sport, 2023)

The challenges of entering the metaverse: An experiment on the effect of extended reality on workload - Nannan Xi; Juan Chen; Filipe Gama; Marc Riar; Juho Hamari (Inf. Syst. Frontiers, 2023)

Main memory controller with multiple media technologies for big data workloads - Miguel A. Avargues; Manel Lurbe; Salvador Petit; María Engracia Gómez; Rui Yang; Xiaoping Zhu; Guanhao Wang; Julio Sahuquillo (J. Big Data, 2023)

D-wash - A dynamic workload aware adaptive cache coherance protocol for multi-core processor system - V. Uma; Ramalatha Marimuthu (Microelectron. J., 2023)

Impact of Teaching Workload on Scientific Productivity: Multidimensional Analysis in the Complexity of a Mexican Private University - María Soledad Ramírez-Montoya; Hector G. Ceballos; Sandra Martínez-Pérez; Luis M. Romero-Rodriguez (Publ., 2023)

Robust Query Driven Cardinality Estimation under Changing Workloads - Parimarjan Negi; Ziniu Wu; Andreas Kipf; Nesime Tatbul; Ryan Marcus; Sam Madden; Tim Kraska; Mohammad Alizadeh (Proc. VLDB Endow., 2023)

Reduced CPU Workload for Human Pose Detection with the Aid of a Low-Resolution Infrared Array Sensor on Embedded Systems - Marcos G. Alves; Genlang Chen; Xi Kang; Guanghui Song (Sensors, 2023)

Reliability of Mental Workload Index Assessed by EEG with Different Electrode Configurations and Signal Pre-Processing Pipelines - Alfonso Mastropietro; Ileana Pirovano; Alessio Marciano; Simone Porcelli; Giovanna Rizzo (Sensors, 2023)

Robust Index Selection for Stochastic Dynamic Workloads - Rainer Schlosser; Marcel Weisgut; Leonardo Hübscher; Oliver Nordemann (SN Comput. Sci., 2023)

HyperSpikeASIC: Accelerating Event-Based Workloads With HyperDimensional Computing and Spiking Neural Networks - Tianqi Zhang; Justin Morris; Kenneth Michael Stewart; Hin Wai Lui; Behnam Khaleghi; Anthony Thomas; Thiago Goncalves-Marback; Baris Aksanli; Emre O. Neftci; Tajana Rosing (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

Irregular accesses reorder unit: improving GPGPU memory coalescing for graph-based workloads - Albert Segura; José-María Arnau; Antonio González (J. Supercomput., 2023)

Workload Characterization and Traffic Analysis for Reconfigurable Intelligent Surfaces Within 6G Wireless Systems - Taqwa Saeed; Sergi Abadal; Christos Liaskos; Andreas Pitsillides; Hamidreza Taghvaee; Albert Cabellos-Aparicio; Vassos Soteriou; Eduard Alarcón; Ian F. Akyildiz; Marios Lestas (IEEE Trans. Mob. Comput., 2023)

Geo-Distributed Multi-Tier Workload Migration Over Multi-Timescale Electricity Markets - Sourav Kanti Addya; Anurag Satpathy; Bishakh Chandra Ghosh; Sandip Chakraborty; Soumya K. Ghosh; Sajal K. Das (IEEE Trans. Serv. Comput., 2023)

A Path Relinking Method for the Joint Online Scheduling and Capacity Allocation of DL Training Workloads in GPU as a Service Systems - Federica Filippini; Marco Lattuada; Michele Ciavotta; Arezoo Jahani; Danilo Ardagna; Edoardo Amaldi (IEEE Trans. Serv. Comput., 2023)

Dynamic Software Containers Workload Balancing via Many-Objective Search - Anwar Ghammam; Thiago do Nascimento Ferreira; Wajdi Aljedaani; Marouane Kessentini; Ali Husain (IEEE Trans. Serv. Comput., 2023)

Cooperative Concurrency Control for Write-Intensive Key-Value Workloads - Mark Sutherland; Babak Falsafi; Alexandros Daglis (Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 1, ASPLOS 2023, Vancouver, BC, Canada, March 25-29, 2023, 2023)

Personalized Agent Explanations for Human-Agent Teamwork: Adapting Explanations to User Trust, Workload, and Performance - Ruben S. Verhagen; Mark A. Neerincx; Can Parlar; Marin Vogel; Myrthe L. Tielman (Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2023, London, United Kingdom, 29 May 2023 - 2 June 2023, 2023)

Manipulating Drivers' Mental Workload: Neuroergonomic Evaluation of the Speed Regulation N-Back Task Using NASA-TLX and Auditory P3a - Nikol Figalová; Jürgen Pichen; Vanchha Chandrayan; Olga Pollatos; Lewis L. Chuang; Martin Baumann (Adjunct Proceedings of the 15th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2023, Ingolstadt, Germany, September 18-22, 2023, 2023)

Workload Prediction for IoT Data Management Systems - David Burrell; Xenofon Chatziliadis; Eleni Tzirita Zacharatou; Steffen Zeuch; Volker Markl (Datenbanksysteme für Business, Technologie und Web (BTW 2023), 20. Fachtagung des GI-Fachbereichs ,,Datenbanken und Informationssysteme" (DBIS), 06.-10, März 2023, Dresden, Germany, Proceedings, 2023)

Workload-Driven Data Placement for Tierless In-Memory Database Systems - Ben Hurdelhey; Marcel Weisgut; Martin Boissier (Datenbanksysteme für Business, Technologie und Web (BTW 2023), 20. Fachtagung des GI-Fachbereichs ,,Datenbanken und Informationssysteme" (DBIS), 06.-10, März 2023, Dresden, Germany, Proceedings, 2023)

Benchmarking the Second Generation of Intel SGX for Machine Learning Workloads - Adrian Lutsch; Gagandeep Singh; Martin Mundt; Ragnar Mogk; Carsten Binnig (Datenbanksysteme für Business, Technologie und Web (BTW 2023), 20. Fachtagung des GI-Fachbereichs ,,Datenbanken und Informationssysteme" (DBIS), 06.-10, März 2023, Dresden, Germany, Proceedings, 2023)

Workload-Aware Contention-Management in Indexes for Hierarchical Data - Kevin Wellenzohn; Michael H. Böhlen; Sven Helmer; Marcel Reutegger (Datenbanksysteme für Business, Technologie und Web (BTW 2023), 20. Fachtagung des GI-Fachbereichs ,,Datenbanken und Informationssysteme" (DBIS), 06.-10, März 2023, Dresden, Germany, Proceedings, 2023)

How Does It Function?: Characterizing Long-term Trends in Production Serverless Workloads - Artjom Joosen; Ahmed Hassan; Martin Asenov; Rajkarn Singh; Luke Nicholas Darlow; Jianfeng Wang; Adam Barker (Proceedings of the 2023 ACM Symposium on Cloud Computing, SoCC 2023, Santa Cruz, CA, USA, 30 October 2023 - 1 November 2023, 2023)

MARS: Exploiting Multi-Level Parallelism for DNN Workloads on Adaptive Multi-Accelerator Systems - Guan Shen; Jieru Zhao; Zeke Wang; Zhe Lin; Wenchao Ding; Chentao Wu; Quan Chen; Minyi Guo (60th ACM/IEEE Design Automation Conference, DAC 2023, San Francisco, CA, USA, July 9-13, 2023, 2023)

OpTIFlow - An optimized end-to-end dataflow for accelerating deep learning workloads on heterogeneous SoCs - Shyam Jagannathan; Vijay Pothukuchi; Jesse Villarreal; Kumar Desappan; Manu Mathew; Rahul Ravikumar; Aniket Limaye; Mihir Mody; Pramod Swami; Piyali Goswami; Carlos Rodriguez; Emmanuel Madrigal; et al. (Autonomous Vehicles and Machines 2023, San Francisco, CA, USA, January 15-19, 2023, 2023)

Assessing Power Needs to Run a Workload with Quality of Service on Green Datacenters - Louis-Claude Canon; Damien Landré; Laurent Philippe; Jean-Marc Pierson; Paul Renaud-Goud (Euro-Par 2023: Parallel Processing - 29th International Conference on Parallel and Distributed Computing, Limassol, Cyprus, August 28 - September 1, 2023, Proceedings, 2023)

Suitability of Physiological, Self-report and Behavioral Measures for Assessing Mental Workload in Pilots - Hilke Boumann; Anneke Hamann; Marcus Biella; Nils Carstengerdes; Stefan Sammito (Engineering Psychology and Cognitive Ergonomics - 20th International Conference, EPCE 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Copenhagen, Denmark, July 23-28, 2023, Proceedings, Part I, 2023)

Scenario Fidelity and Perceived Driver Mental Workload: Can Workload Assessment be Crowdsourced? - Haoyan Jiang; Sachi Mizobuchi; Mark H. Chignell (Proceedings of the 13th International Conference on Advances in Information Technology, IAIT 2023, Bangkok, Thailand, December 6-9, 2023, 2023)

SPA: Economical and Workload-Driven Indexing for Data Analytics in the Cloud - Peter A. Boncz; Yannis Chronis; Jan Finis; Stefan Halfpap; Viktor Leis; Thomas Neumann; Anisoara Nica; Caetano Sauer; Knut Stolze; Marcin Zukowski (39th IEEE International Conference on Data Engineering, ICDE 2023, Anaheim, CA, USA, April 3-7, 2023, 2023)

Is Performance of Object Storage Predictable for Serverless I/O Workloads? A Comparative Study - Germán T. Eizaguirre; Marc Sánchez Artigas (31st IEEE International Conference on Network Protocols, ICNP 2023, Reykjavik, Iceland, October 10-13, 2023, 2023)

The impact of augmented reality on learning curves and mental workload: a preliminary experimental study - Maurizio Faccio; Irene Granata; Leonardo Maretto (Proceedings of the 2023 9th International Conference on e-Society, e-Learning and e-Technologies, ICSLT 2023, Portsmouth, United Kingdom, June 9-11, 2023, 2023)

An Analysis of Energy Consumption of JavaScript Interpreters with Evolutionary Algorithm Workloads - Juan Julián Merelo Guervós; Mario García-Valdez; Pedro A. Castillo (Proceedings of the 18th International Conference on Software Technologies, ICSOFT 2023, Rome, Italy, July 10-12, 2023, 2023)

An Efficient Deep-Learning-Based Solution for the Recognition of Relative Changes in Mental Workload Using Wearable Sensors - Majd Saleh; Stéphane Paquelet; Pierre Castel; Marc Hoarau; Nico Pallamin; Daniel Lewkowicz (2023 IEEE SENSORS, Vienna, Austria, October 29 - Nov. 1, 2023, 2023)

Workload-based Extensions of Mixed-integer Programming Models for Resource-constrained Project Scheduling - Jonas Saupe; Mario Gnägi; Norbert Trautmann (IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2023, Singapore, December 18-21, 2023, 2023)

CInC: Workload Characterization In Context of Resource Contention - Cesar Gomes; Mark Hempstead (IEEE International Symposium on Workload Characterization, IISWC 2023, Ghent, Belgium, October 1-3, 2023, 2023)

Reducing Workload During Brain Surgery with Robot-Assisted Autonomous Exoscope - Elisa Iovene; Alessandro Casella; Junling Fu; Federico Pessina; Marco Riva; Giancarlo Ferrigno; Elena De Momi (IROS, 2023)

Mental Workload in Augmented Reality-based Urban Planning Education - Sanghamitra Das; Mario Wolf; Philippe Schmidt; Heinrich Söbke (IEEE International Symposium on Multimedia, ISM 2023, Laguna Hills, CA, USA, December 11-13, 2023, 2023)

Information System "Workload Assignment at a University Department" - Mariia Pleskach; Oksana Karpenko; Olha Kravchenko; Iryna Tarnovska (Selected Papers of the X International Scientific Conference "Information Technology and Implementation" (IT&I-2023). Workshop Proceedings, Kyiv, Ukraine, November 20-21, 2023, 2023)

Using Digital Biomarkers for Objective Assessment of Perfusionists' Workload and Acute Stress During Cardiac Surgery - Roger D. Dias; Lauren R. Kennedy-Metz; Srey Rithy; Geoffrey Rance; Mahdi Ebnali; David Arney; Matthew C. Gombolay; Marco A. Zenati (Bioinformatics and Biomedical Engineering - 10th International Work-Conference, IWBBIO 2023, Meloneras, Gran Canaria, Spain, July 12-14, 2023 Proceedings, Part I, 2023)

Concurrent GCs and Modern Java Workloads: A Cache Perspective - Maria Carpen-Amarie; Georgios Vavouliotis; Konstantinos Tovletoglou; Boris Grot; René Müller (Proceedings of the 2023 ACM SIGPLAN International Symposium on Memory Management, ISMM 2023, Orlando, FL, USA, 18 June 2023, 2023)

Characterizing Distributed Machine Learning Workloads on Apache Spark: (Experimentation and Deployment Paper) - Yasmine Djebrouni; Isabelly Rocha; Sara Bouchenak; Lydia Y. Chen; Pascal Felber; Vania Marangozova; Valerio Schiavoni (Proceedings of the 24th International Middleware Conference, Middleware 2023, Bologna, Italy, December 11-15, 2023, 2023)

Effects of 3D Displays on Mental Workload, Situation Awareness, Trust, and Performance Assessment in Automated Vehicles - Mark Colley; Annika Stampf; William Fischer; Enrico Rukzio (Proceedings of the 22nd International Conference on Mobile and Ubiquitous Multimedia, MUM 2023, Vienna, Austria, December 3-6, 2023, 2023)

A Federated Unsupervised Personalisation for Cognitive Workload Estimation - Dario Fenoglio; Martin Gjoreski; Marc Langheinrich (Proceedings of the 22nd International Conference on Mobile and Ubiquitous Multimedia, MUM 2023, Vienna, Austria, December 3-6, 2023, 2023)

Federated Learning for Privacy-aware Cognitive Workload Estimation - Dario Fenoglio; Daniel Josifovski; Alessandro Gobbetti; Mattias Formo; Hristijan Gjoreski; Martin Gjoreski; Marc Langheinrich (Proceedings of the 22nd International Conference on Mobile and Ubiquitous Multimedia, MUM 2023, Vienna, Austria, December 3-6, 2023, 2023)

Parameterized Workload Adaptation for Fork-Join Tasks with Dynamic Workloads and Deadlines - Marion Sudvarg; Jeremy Buhler; Roger D. Chamberlain; Christopher D. Gill; James H. Buckley; Wenlei Chen (29th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2023, Niigata, Japan, August 30 - Sept. 1, 2023, 2023)

NeurOPar, A Neural Network-Driven EDP Optimization Strategy for Parallel Workloads - Cristiano A. Künas; Fábio D. Rossi; Marcelo Caggiani Luizelli; Rodrigo N. Calheiros; Philippe O. A. Navaux; Arthur Francisco Lorenzon (35th IEEE International Symposium on Computer Architecture and High Performance Computing, SBAC-PAD 2023, Porto Alegre, Brazil, October 17-20, 2023, 2023)

A Performance Comparison of HPC Workloads on Traditional and Cloud-Based HPC Clusters - Vanderlei Munhoz; Antoine Bonfils; Márcio Castro; Odorico M. Mendizabal (International Symposium on Computer Architecture and High Performance Computing Workshops , SBAC-PADW 2023, Porto Alegre, Brazil, October 17-20, 2023, 2023)

The Graph Database Interface: Scaling Online Transactional and Analytical Graph Workloads to Hundreds of Thousands of Cores - Maciej Besta; Robert Gerstenberger; Marc Fischer; Michal Podstawski; Nils Blach; Berke Egeli; George Mitenkov; Wojciech Chlapek; Marek T. Michalewicz; Hubert Niewiadomski; Jürgen Müller; Torsten Hoefler (Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2023, Denver, CO, USA, November 12-17, 2023, 2023)

Auto-WLM: Machine Learning Enhanced Workload Management in Amazon Redshift - Gaurav Saxena; Mohammad Rahman; Naresh Chainani; Chunbin Lin; George Caragea; Fahim Chowdhury; Ryan Marcus; Tim Kraska; Ippokratis Pandis; Balakrishnan (Murali) Narayanaswamy (Companion of the 2023 International Conference on Management of Data, SIGMOD/PODS 2023, Seattle, WA, USA, June 18-23, 2023, 2023)

Cognitive Workload and Usability of Virtual Reality Simulation for Prosthesis Training - Junho Park; Austin Music; Daniel Delgado; Joseph Berman; Albert Dodson; Yunmei Liu; Jaime Ruiz; He Huang; David Kaber; Maryam Zahabi (IEEE International Conference on Systems, Man, and Cybernetics, SMC 2023, Honolulu, Oahu, HI, USA, October 1-4, 2023, 2023)

Dynamic Optimization of Provider-Based Scheduling for HPC Workloads - Jacopo Marino; Fulvio Risso; Mauro Bighi (International Conference on Software, Telecommunications and Computer Networks, SoftCOM 2023, Split, Croatia, September 21-23, 2023, 2023)

Running Kubernetes Workloads on HPC - Antony Chazapis; Fotis Nikolaidis; Manolis Marazakis; Angelos Bilas (High Performance Computing - ISC High Performance 2023 International Workshops, Hamburg, Germany, May 21-25, 2023, Revised Selected Papers, 2023)

Arvon: A Heterogeneous SiP Integrating a 14nm FPGA and Two 22nm 1.8TFLOPS/W DSPs with 1.7Tbps/mm\(^2\) AIB 2.0 Interface to Provide Versatile Workload Acceleration - Wei Tang; Sung-Gun Cho; Tim Tri Hoang; Jacob Botimer; Wei Qiang Zhu; Ching-Chi Chang; Cheng-Hsun Lu; Junkang Zhu; Yaoyu Tao; Tianyu Wei; Naomi Kavi Motwani; Mani Yalamanchi; et al. (2023 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits), Kyoto, Japan, June 11-16, 2023, 2023)

Workload-Aware Scheduling using Markov Decision Process for Infrastructure-Assisted Learning-Based Multi-UAV Surveillance Networks - Soohyun Park; Chanyoung Park; Soyi Jung; Jae-Hyun Kim; Joongheon Kim (CoRR, 2023)

Hyperparameter optimization, quantum-assisted model performance prediction, and benchmarking of AI-based High Energy Physics workloads using HPC - Eric Wulff; Maria Girone; David Southwick; Juan Pablo García Amboage; Eduard Cuba (CoRR, 2023)

Characterizing the impact of last-level cache replacement policies on big-data workloads - Alexandre Valentin Jamet; Lluc Alvarez; Marc Casas (CoRR, 2023)

MARS: Exploiting Multi-Level Parallelism for DNN Workloads on Adaptive Multi-Accelerator Systems - Guan Shen; Jieru Zhao; Zeke Wang; Zhe Lin; Wenchao Ding; Chentao Wu; Quan Chen; Minyi Guo (CoRR, 2023)

Differentiating Workload using Pilot's Stick Input in a Virtual Reality Flight Task - Evy van Weelden; Carl W. E. van Beek; Maryam Alimardani; Travis J. Wiltshire; Wietse D. Ledegang; Eric L. Groen; Max M. Louwerse (CoRR, 2023)

How Does It Function? Characterizing Long-term Trends in Production Serverless Workloads - Artjom Joosen; Ahmed Hassan; Martin Asenov; Rajkarn Singh; Luke Nicholas Darlow; Jianfeng Wang; Adam Barker (CoRR, 2023)

A Framework for Managing Heterogeneous Memory for Large Scale Machine Learning Workloads - Mark Hildebrand (University of California, Davis, USA, 2022)

Rebate Auction Mechanisms for Bidirectional Grid Balancing Using Cloud Workload Migrations - Ahmed Abada; Marc St-Hilaire; Wei Shi (IEEE Access, 2022)

Edge Workloads Monitoring and Failover: a StarlingX-Based Testbed Implementation and Measurement Study - Mohammed A. Abuibaid; Amirhossein Ghorab; Aidan Seguin-Mcpeake; Owen Yuen; Thomas Yungblut; Marc St-Hilaire (IEEE Access, 2022)

Real-Time Team Performance and Workload Prediction From Voice Communications - Catherine S. Rodriguez; Melissa N. Stolar; Simon G. Hosking; Dawei Jia; Margaret Lech (IEEE Access, 2022)

Optimizing the workload of production units of a make-to-order manufacturing system - Murat Firat; Julie De Meyere; Tugce G. Martagan; Laura Genga (Comput. Oper. Res., 2022)

Measuring Mental Workload Using ERPs Based on FIR, ICA, and MARA - Yu Sun; Yi Ding; Junyi Jiang; Vincent G. Duffy (Comput. Syst. Sci. Eng., 2022)

Eye Tracking to Evaluate the Effects of Interruptions and Workload in a Complex Task - Dina Kanaan; Nadine Marie Moacdieh (Hum. Factors, 2022)

Direct Workload Control: simplifying continuous order release - Nuno O. Fernandes; Matthias Thürer; Mark Stevenson (Int. J. Prod. Res., 2022)

Model-Based Performability and Dependability Evaluation of a System with VM Migration as Rejuvenation in the Presence of Bursty Workloads - Matheus Torquato; Paulo R. M. Maciel; Marco Vieira (J. Netw. Syst. Manag., 2022)

A 7-nm Four-Core Mixed-Precision AI Chip With 26.2-TFLOPS Hybrid-FP8 Training, 104.9-TOPS INT4 Inference, and Workload-Aware Throttling - Sae Kyu Lee; Ankur Agrawal; Joel Silberman; Matthew M. Ziegler; Mingu Kang; Swagath Venkataramani; Nianzheng Cao; Bruce M. Fleischer; Michael Guillorn; Matthew Cohen; Silvia M. Mueller; Jinwook Oh; et al. (IEEE J. Solid State Circuits, 2022)

Ambient Light Conveying Reliability Improves Drivers' Takeover Performance without Increasing Mental Workload - Nikol Figalová; Lewis L. Chuang; Jürgen Pichen; Martin Baumann; Olga Pollatos (Multimodal Technol. Interact., 2022)

I/O performance analysis of machine learning workloads on leadership scale supercomputer - Ahmad Maroof Karimi; Arnab K. Paul; Feiyi Wang (Perform. Evaluation, 2022)

EEG/fNIRS Based Workload Classification Using Functional Brain Connectivity and Machine Learning - Jun Cao; Enara Martin Garro; Yifan Zhao (Sensors, 2022)

Learning to See: Using Mixed or Methods to Model Radiology Staff Workload and Support Decision Making in CT - Mary Conlon; Owen Molloy (SN Comput. Sci., 2022)

VMT: Virtualized Multi-Threading for Accelerating Graph Workloads on Commodity Processors - Josué Feliu; Ajeya Naithani; Julio Sahuquillo; Salvador Petit; Moinuddin K. Qureshi; Lieven Eeckhout (IEEE Trans. Computers, 2022)

Time-Dependent Electromigration Modeling for Workload-Aware Design-Space Exploration in STT-MRAM - Mahta Mayahinia; Mehdi B. Tahoori; Manu Perumkunnil Komalan; Houman Zahedmanesh; Kristof Croes; Tommaso Marinelli; José Ignacio Gómez Pérez; Timon Evenblij; Gouri Sankar Kar; Francky Catthoor (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

Forecasting Cloud Application Workloads With CloudInsight for Predictive Resource Management - In Kee Kim; Wei Wang; Yanjun Qi; Marty Humphrey (IEEE Trans. Cloud Comput., 2022)

Procedure for the Determination of the Student Workload and the Learning Environment Created in the Power Electronics Course Taught Through Project-Based Learning - Luis C. Herrero-de Lucas; Fernando Martínez-Rodrigo; Santiago De Pablo; Dionisio Ramírez Prieto; Alexis B. Rey-Boué (IEEE Trans. Educ., 2022)

Cognitive Workload Assessment of Prosthetic Devices: A Review of Literature and Meta-Analysis - Junho Park; Maryam Zahabi (IEEE Trans. Hum. Mach. Syst., 2022)

Multi-Period Workload Balancing in Last-Mile Urban Delivery - Yang Wang; Lei Zhao; Martin W. P. Savelsbergh; Shengnan Wu (Transp. Sci., 2022)

A Causal Inference Study on the Effects of First Year Workload on the Dropout Rate of Undergraduates - Marzieh Karimi-Haghighi; Carlos Castillo; Davinia Hernández-Leo (Artificial Intelligence in Education - 23rd International Conference, AIED 2022, Durham, UK, July 27-31, 2022, Proceedings, Part I, 2022)

A Real-time Model for Neonatal Provider Workload Measurement - Mhd Wael Alrifai; Mary Eva Dye; Theresa Scott; Allison B. McCoy; Patti Runyan; Daniel J. France (AMIA 2022, American Medical Informatics Association Annual Symposium, Washington, DC, USA, November 5-9, 2022, 2022)

In-Vehicle Interface Adaptation to Environment-Induced Cognitive Workload - Elena Meiser; Alexandra Alles; Samuel Selter; Marco Molz; Amr Gomaa; Guillermo Reyes (AutomotiveUI '22: 14th International Conference on Automotive User Interfaces and Interactive Vehicular Applications - Adjunct Proceedings, Seoul, Republic of Korea, September 17 - 20, 2022, 2022)

CO2 Emission Aware Scheduling for Deep Neural Network Training Workloads - Kawsar Haghshenas; Brian Setz; Marco Aiello (IEEE International Conference on Big Data, Big Data 2022, Osaka, Japan, December 17-20, 2022, 2022)

The Impact of Motion Scaling and Haptic Guidance on Operators' Workload and Performance in Teleoperation - Soran Parsa; Horia A. Maior; Alex Reeve Elliott Thumwood; Max L. Wilson; Marc Hanheide; Amir Ghalamzan Esfahani (CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022 - 5 May 2022, Extended Abstracts, 2022)

Association Between Operating Room Noise and Team Cognitive Workload in Cardiac Surgery - Lauren R. Kennedy-Metz; Maria Arshanskiy; Sandra Keller; David Arney; Roger D. Dias; Marco A. Zenati (IEEE Conference on Cognitive and Computational Aspects of Situation Management, CogSIMA 2022, Salerno, Italy, June 6-10, 2022, 2022)

Deriving a realistic workload model to simulate high-volume financial data feeds for performance benchmarking - Vladimir Sladojevic; Sebastian Frischbier; Alexander Echler; Mario Paic; Alessandro Margara (16th ACM International Conference on Distributed and Event-based Systems, DEBS 2022, Copenhagen, Denmark, June 27 - 30, 2022, 2022)

Workload-Aware Materialization of Junction Trees - Martino Ciaperoni; Çigdem Aslay; Aristides Gionis; Michael Mathioudakis (Proceedings of the 25th International Conference on Extending Database Technology, EDBT 2022, Edinburgh, UK, March 29 - April 1, 2022, 2022)

Heuristic algorithm for periodic patterns discovery in a database workload reconstruction - Marcin Zimniak; Marta Burzanska; Piotr Wisniewski; Bogdan Franczyk (Communication Papers of the 17th Conference on Computer Science and Intelligence Systems, FedCSIS 2022, Sofia, Bulgaria, September 4-7, 2022, 2022)

Traffic Workload Envelope for Network Performance Guarantees with Multiplexing Gain - Massieh Kordi Boroujeny; Brian L. Mark; Yariv Ephraim (IEEE Global Communications Conference, GLOBECOM 2022, Rio de Janeiro, Brazil, December 4-8, 2022, 2022)

Cognitive Workload Associated with Different Conceptual Modeling Approaches in Information Systems - Andreas Knoben; Maryam Alimardani; Arash Saghafi; Amin K. Amiri (HCI International 2022 Posters - 24th International Conference on Human-Computer Interaction, HCII 2022, Virtual Event, June 26 - July 1, 2022, Proceedings, Part II, 2022)

Fast Detection and Classification of Drivers' Responses to Stressful Events and Cognitive Workload - Fabien Rogister; Marie-Anne Pungu Mwange; Luka Rukonic; Olivier Delbeke; Richard Virlouvet (HCI International 2022 Posters - 24th International Conference on Human-Computer Interaction, HCII 2022, Virtual Event, June 26 - July 1, 2022, Proceedings, Part II, 2022)

Machine Learning Assisted HPC Workload Trace Generation for Leadership Scale Storage Systems - Arnab K. Paul; Jong Youl Choi; Ahmad Maroof Karimi; Feiyi Wang (HPDC '22: The 31st International Symposium on High-Performance Parallel and Distributed Computing, Minneapolis, MN, USA, 27 June 2022 - 1 July 2022, 2022)

Workload Evaluations for Closed Captioners - Maria Karam; Christie Christelis; Evan Hibbard; Jenny Leung; Tatyana Kumarasamy; Margot Whitfield; Deborah I. Fels (Computers Helping People with Special Needs - 18th International Conference, ICCHP-AAATE 2022, Lecco, Italy, July 11-15, 2022, Proceedings, Part I, 2022)

Solver-based Approaches for Robust Multi-index Selection Problems with Stochastic Workloads and Reconfiguration Costs - Marcel Weisgut; Leonardo Hübscher; Oliver Nordemann; Rainer Schlosser (Proceedings of the 11th International Conference on Operations Research and Enterprise Systems, ICORES 2022, Online Streaming, February 3-5, 2022, 2022)

Searching for the Gaps in Mental Workload Assessment of Assistive Technologies - Andreas Dörner; Marek Bures; Gerald Pirkl (IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2022, Kuala Lumpur, Malaysia, December 7-10, 2022, 2022)

Accelerating database analytic query workloads using an associative processor - Helena Caminal; Yannis Chronis; Tianshu Wu; Jignesh M. Patel; José F. Martínez (ISCA '22: The 49th Annual International Symposium on Computer Architecture, New York, New York, USA, June 18 - 22, 2022, 2022)

Investigating the Effects on User Performance and Perceived Workload of Environmental Noise in Immersive Virtual Reality - Vito Modesto Manghisi; Francesco Martellotta; Alessandro Evangelista; Claudia Giliberti; Raffaele Mariconte; Maurizio Diano; Valerio Galasso; Antonio Emmanuele Uva (IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering, MetroXRAINE 2022, Rome, Italy, October 26-28, 2022, 2022)

An Analysis of Mental Workload Involved in Piloting Tasks - Maryam Ghaderi; Hamdi Ben Abdessalem; Claude Frasson (Novel & Intelligent Digital Systems: Proceedings of the 2nd International Conference, NiDS 2022, Athens, Greece, 29-30 September 2022, 2022)

Asynchronous Workload Balancing through Persistent Work-Stealing and Offloading for a Distributed Actor Model Library - Yakup Budanaz; Mario Wille; Michael Bader (IEEE/ACM Parallel Applications Workshop: Alternatives To MPI+X, PAW-ATM@SC 2022, Dallas, TX, USA, November 13-18, 2022, 2022)

High Throughput Memory with Silicon Photonics in Chiplet-based Architectures for Irregular Workloads - Marjan Fariborz; S. J. Ben Yoo (2022 27th OptoElectronics and Communications Conference (OECC) and 2022 International Conference on Photonics in Switching and Computing (PSC), Toyama, Japan, July 3-6, 2022, 2022)

Work in Progress: Automatic Response-Time Analysis for Arbitrary Real-Time Linux Workloads - Marco Perronet; Marco Maida; Cédric Courtaud; Björn B. Brandenburg (28th IEEE Real-Time and Embedded Technology and Applications Symposium, RTAS 2022, Milano, Italy, May 4-6, 2022, 2022)

Analysis of Federated Scheduling for Integer-Valued Workloads - Marion Sudvarg; Chris Gill (RTNS 2022: The 30th International Conference on Real-Time Networks and Systems, Paris, France, June 7 - 8, 2022, 2022)

Strategies for Fault-Tolerant Tightly-Coupled HPC Workloads Running on Low-Budget Spot Cloud Infrastructures - Vanderlei Munhoz; Márcio Castro; Odorico M. Mendizabal (2022 IEEE 34th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD), Bordeaux, France, November 2-5, 2022, 2022)

Investigating Cognitive Workload during Comprehension and Application Tasks in Software Testing - Daryl Camilleri; Mark Micallef; Chris Porter (The 34th International Conference on Software Engineering and Knowledge Engineering, SEKE 2022, KSIR Virtual Conference Center, USA, July 1 - July 10, 2022, 2022)

Intelligent Automated Workload Analysis for Database Replatforming - Amirhossein Aleyasen; Mark Morcos; Lyublena Antova; Marc Sugiyama; Dmitri Korablev; Jozsef Patvarczki; Rima Mutreja; Michael Duller; Florian M. Waas; Marianne Winslett (SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12 - 17, 2022, 2022)

Precise Energy Consumption Measurements of Heterogeneous Artificial Intelligence Workloads - René Caspart; Sebastian Ziegler; Arvid Weyrauch; Holger Obermaier; Simon Raffeiner; Leon Pascal Schuhmacher; Jan Scholtyssek; Darya Trofimova; Marco Nolden; Ines Reinartz; Fabian Isensee; Markus Götz; et al. (High Performance Computing. ISC High Performance 2022 International Workshops - Hamburg, Germany, May 29 - June 2, 2022, Revised Selected Papers, 2022)

LLM: Realizing Low-Latency Memory by Exploiting Embedded Silicon Photonics for Irregular Workloads - Marjan Fariborz; Mahyar Samani; Pouya Fotouhi; Roberto Proietti; Il-Min Yi; Venkatesh Akella; Jason Lowe-Power; Samuel Palermo; S. J. Ben Yoo (High Performance Computing - 37th International Conference, ISC High Performance 2022, Hamburg, Germany, May 29 - June 2, 2022, Proceedings, 2022)

A Mixed PS-FCFS Policy for CPU Intensive Workloads - Simonetta Balsamo; Andrea Marin; Isi Mitrani (ICPE '22: ACM/SPEC International Conference on Performance Engineering, Bejing, China, April 9 - 13, 2022, 2022)

Same, Same, but Dissimilar: Exploring Measurements for Workload Time-series Similarity - Mark Leznik; Johannes Grohmann; Nina Kliche; André Bauer; Daniel Seybold; Simon Eismann; Samuel Kounev; Jörg Domaschka (ICPE '22: ACM/SPEC International Conference on Performance Engineering, Bejing, China, April 9 - 13, 2022, 2022)

Benchmarking the Performance of Accelerators on National Cyberinfrastructure Resources for Artificial Intelligence / Machine Learning Workloads - Abhinand Nasari; Hieu Le; Richard Lawrence; Zhenhua He; Xin Yang; Mario Krell; Alex Tsyplikhin; Mahidhar Tatineni; Tim Cockerill; Lisa M. Perez; Dhruva Chakravorty; Honggao Liu (PEARC '22: Practice and Experience in Advanced Research Computing, Boston, MA, USA, July 10 - 14, 2022, 2022)

Gridiron: A Technique for Augmenting Cloud Workloads with Network Bandwidth Requirements - Nodir Kodirov; Shane Bergsma; Syed M. Iqbal; Alan J. Hu; Ivan Beschastnikh; Margo I. Seltzer (CoRR, 2022)

Estimation of Clinical Workload and Patient Activity using Deep Learning and Optical Flow - Thanh Nguyen-Duc; Peter Y. Chan; Andrew Tay; David Chen; John Tan Nguyen; Jessica Lyall; Maria De Freitas (CoRR, 2022)

Singularity: Planet-Scale, Preemptive and Elastic Scheduling of AI Workloads - Dharma Shukla; Muthian Sivathanu; Srinidhi Viswanatha; Bhargav S. Gulavani; Rimma Nehme; Amey Agrawal; Chen Chen; Nipun Kwatra; Ramachandran Ramjee; Pankaj Sharma; Atul Katiyar; Vipul Modi; et al. (CoRR, 2022)

Cognitive Workload Associated with Different Conceptual Modeling Approaches in Information Systems - Andreas Knoben; Maryam Alimardani; Arash Saghafi; Amin K. Amiri (CoRR, 2022)

Using Fuzzy Matching of Queries to optimize Database workloads - Sweta Singh; Vaibhav Kulkarni; Mario Briggs; Deepak Mahajan; Eitan Farchi (CoRR, 2022)

In-Vehicle Interface Adaptation to Environment-Induced Cognitive Workload - Elena Meiser; Alexandra Alles; Samuel Selter; Marco Molz; Amr Gomaa; Guillermo Reyes (CoRR, 2022)

A case study of proactive auto-scaling for an ecommerce workload - Marcella Medeiros Siqueira Coutinho de Almeida; Thiago Emmanuel Pereira; Fábio Morais (CoRR, 2022)

Precise Energy Consumption Measurements of Heterogeneous Artificial Intelligence Workloads - René Caspart; Sebastian Ziegler; Arvid Weyrauch; Holger Obermaier; Simon Raffeiner; Leon Pascal Schuhmacher; Jan Scholtyssek; Darya Trofimova; Marco Nolden; Ines Reinartz; Fabian Isensee; Markus Götz; et al. (CoRR, 2022)

Data-driven Dynamic Optimization of Traffic Workload and Network Slicing for 5G Networks and beyond. (Optimisation dynamique axée sur les données de la charge et des tranches réseaux dans les réseaux) - E. L. Hocine Bouzidi (Gustave Eiffel University, Champs-sur-Marne, France, 2021)

Cost Optimization for Big Data Workloads Based on Dynamic Scheduling and Cluster-Size Tuning - Marek Grzegorowski; Eftim Zdravevski; Andrzej Janusz; Petre Lameski; Cas Apanowicz; Dominik Slezak (Big Data Res., 2021)

Dynamic workload prediction and distribution in numerical modeling of solidification on multi-/manycore architectures - Kamil Halbiniak; Tomasz Olas; Lukasz Szustak; Adam Kulawik; Marco Lapegna (Concurr. Comput. Pract. Exp., 2021)

The collaborative consistent vehicle routing problem with workload balance - Simona Mancini; Margaretha Gansterer; Richard F. Hartl (Eur. J. Oper. Res., 2021)

Relevant Physiological Indicators for Assessing Workload in Conditionally Automated Driving, Through Three-Class Classification and Regression - Quentin Meteier; Emmanuel de Salis; Marine Capallera; Marino Widmer; Leonardo Angelini; Omar Abou Khaled; Andreas Sonderegger; Elena Mugellini (Frontiers Comput. Sci., 2021)

Analysis of Dynamic Changes in Cognitive Workload During Cardiac Surgery Perfusionists\('\) Interactions With the Cardiopulmonary Bypass Pump - Lauren R. Kennedy-Metz; Roger D. Dias; Srey Rithy; Geoffrey Rance; Heather M. Conboy; Miguel E. Haime; Jacquelyn A. Quin; Steven J. Yule; Marco A. Zenati (Hum. Factors, 2021)

Effects of Mobile Computer Terminal Configuration and Level of Driving Control on Police Officers' Performance and Workload - Taylor Shupsky; Adriana Lyman; Jibo He; Maryam Zahabi (Hum. Factors, 2021)

A low-cost predictive display for teleoperation: Investigating effects on human performance and workload - Henrikke Dybvik; Martin Løland; Achim Gerstenberg; Kristoffer Bjørnerud Slåttsveen; Martin Steinert (Int. J. Hum. Comput. Stud., 2021)

Workload control in additive manufacturing shops where post-processing is a constraint: an assessment by simulation - Matthias Thürer; Yuan Huang; Mark Stevenson (Int. J. Prod. Res., 2021)

Workload Control order release in general and pure flow shops with limited buffer size induced blocking: an assessment by simulation - Matthias Thürer; Lin Ma; Mark Stevenson (Int. J. Prod. Res., 2021)

PCJ Java library as a solution to integrate HPC, Big Data and Artificial Intelligence workloads - Marek Nowicki; Lukasz Górski; Piotr Bala (J. Big Data, 2021)

Implementation of a Software Distribution Intervention to Improve Workload Balance in an Academic Pediatric Radiology Department - Marla B. K. Sammer; Andrew Stahl; Eray Ozkan; Andrew C. Sher (J. Digit. Imaging, 2021)

TensorHive: Management of Exclusive GPU Access for Distributed Machine Learning Workloads - Pawel Rosciszewski; Michal Martyniak; Filip Schodowski (J. Mach. Learn. Res., 2021)

Algorithms for the Calzedonia workload allocation problem - Maria Battarra; Federico Fraboni; Oliver Thomasson; Günes Erdogan; Gilbert Laporte; Marco Formentini (J. Oper. Res. Soc., 2021)

PackStealLB: A scalable distributed load balancer based on work stealing and workload discretization - Vinicius Freitas; Laércio Lima Pilla; Alexandre de Limas Santana; Márcio Castro; Johanne Cohen (J. Parallel Distributed Comput., 2021)

Heating Homes with Servers: Workload Scheduling for Heat Reuse in Distributed Data Centers - Marcel Antal; Andrei-Alexandru Cristea; Victor-Alexandru Padurean; Tudor Cioara; Ionut Anghel; Claudia Antal; Ioan Salomie; Nicolas Saintherant (Sensors, 2021)

A joint energy efficiency optimization scheme based on marginal cost and workload prediction in data centers - Kaixuan Ji; Fa Zhang; Ce Chi; Penglei Song; Biyu Zhou; Avinab Marahatta; Zhiyong Liu (Sustain. Comput. Informatics Syst., 2021)

MBioTracker: Multimodal Self-Aware Bio-Monitoring Wearable System for Online Workload Detection - Fabio Dell'Agnola; Una Pale; Rodrigo Marino; Adriana Arza; David Atienza (IEEE Trans. Biomed. Circuits Syst., 2021)

Cross Service Providers Workload Balancing for Data Centers in Deregulated Electricity Markets - Jun Sun; Shibo Chen; Georgios B. Giannakis; Qinmin Yang; Zaiyue Yang (IEEE Trans. Control. Netw. Syst., 2021)

On the use of many-core Marvell ThunderX2 processor for HPC workloads - Víctor Soria Pardos; Adrià Armejach; Darío Suárez Gracia; Miquel Moretó (J. Supercomput., 2021)

Performance Evaluation of Data-Centric Workloads in Serverless Environments - Anna Maria Nestorov; Jordà Polo; Claudia Misale; David Carrera; Alaa Youssef (14th IEEE International Conference on Cloud Computing, CLOUD 2021, Chicago, IL, USA, September 5-10, 2021, 2021)

Skynet: Performance-driven Resource Management for Dynamic Workloads - Yannis Sfakianakis; Manolis Marazakis; Angelos Bilas (14th IEEE International Conference on Cloud Computing, CLOUD 2021, Chicago, IL, USA, September 5-10, 2021, 2021)

Application of Recurrent Convolutional Neural Networks for Mental Workload Assessment Using Functional Near-Infrared Spectroscopy - Marjan Saadati; Jill K. Nelson; Adrian Curtin; Lei Wang; Hasan Ayaz (Advances in Neuroergonomics and Cognitive Engineering - Proceedings of the AHFE 2021 Virtual Conferences on Neuroergonomics and Cognitive Engineering, Industrial Cognitive Ergonomics and Engineering Psychology, and Cognitive Computing and Internet of Things, July 25-29, 2021, USA, 2021)

Assessment2Vec: Learning Distributed Representations of Assessments to Reduce Marking Workload - Shuang Wang; Amin Beheshti; Yufei Wang; Jianchao Lu; Quan Z. Sheng; Stephen Elbourn; Hamid Alinejad-Rokny; Elizabeth Galanis (Artificial Intelligence in Education - 22nd International Conference, AIED 2021, Utrecht, The Netherlands, June 14-18, 2021, Proceedings, Part II, 2021)

Task-Based Programming Models for Heterogeneous Recurrent Workloads - Jaume Bosch; Miquel Vidal; Antonio Filgueras; Daniel Jiménez-González; Carlos Álvarez; Xavier Martorell; Eduard Ayguadé (Applied Reconfigurable Computing. Architectures, Tools, and Applications - 17th International Symposium, ARC 2021, Virtual Event, June 29-30, 2021, Proceedings, 2021)

To Reduce Healthcare Workload: Identify Critical Sepsis Progression Moments through Deep Reinforcement Learning - Song Ju; Yeo Jin Kim; Markel Sanz Ausin; Maria E. Mayorga; Min Chi (2021 IEEE International Conference on Big Data (Big Data), Orlando, FL, USA, December 15-18, 2021, 2021)

A Simulator for Intelligent Workload Managers in Heterogeneous Clusters - Adrián Herrera; Mario Ibáñez; Esteban Stafford; José Luis Bosque (21st IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, CCGrid 2021, Melbourne, Australia, May 10-13, 2021, 2021)

Early Evaluation of Fugaku A64FX Architecture Using Climate Workloads - Sarat Sreepathi; Mark Taylor (IEEE International Conference on Cluster Computing, CLUSTER 2021, Portland, OR, USA, September 7-10, 2021, 2021)

Utilizing Constraint Optimization for Industrial Machine Workload Balancing - Benjamin Kovács; Pierre Tassel; Wolfgang Kohlenbrein; Philipp Schrott-Kostwein; Martin Gebser (27th International Conference on Principles and Practice of Constraint Programming, CP 2021, Montpellier, France (Virtual Conference), October 25-29, 2021, 2021)

Electroencephalography in Evaluating Mental Workload of Gaming - Ville Ahonen; Marko Leino; Tarmo Lipping (43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, EMBC 2021, Mexico, November 1-5, 2021, 2021)

Workload Prediction in BTC Blockchain and Application to the Confirmation Time Estimation - Ivan Malakhov; Carlo Gaetan; Andrea Marin; Sabina Rossi (Performance Engineering and Stochastic Modeling - 17th European Workshop, EPEW 2021, and 26th International Conference, ASMTA 2021, Virtual Event, December 9-10 and December 13-14, 2021, Proceedings, 2021)

Trace-Based Workload Generation and Execution - Yannis Sfakianakis; Eleni Kanellou; Manolis Marazakis; Angelos Bilas (Euro-Par 2021: Parallel Processing - 27th International Conference on Parallel and Distributed Computing, Lisbon, Portugal, September 1-3, 2021, Proceedings, 2021)

Workload Imbalance in HPC Applications: Effect on Performance of In-Network Processing - Pouya Haghi; Anqi Guo; Tong Geng; Anthony Skjellum; Martin C. Herbordt (2021 IEEE High Performance Extreme Computing Conference, HPEC 2021, Waltham, MA, USA, September 20-24, 2021, 2021)

Reducing Cognitive Workload in Telepresence Lunar - Martian Environments Through Audiovisual Feedback in Augmented Reality - Irvin Steve Cardenas; Kaleb Powlison; Jong-Hoon Kim (Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction, HRI 2021, Boulder, CO, USA, March 8-11, 2021, 2021)

A Systematic Review of Older Drivers in a Level 3 Autonomous Vehicle: A Cognitive Load Perspective - Bilal Alam Khan; Maria Chiara Leva; Sam Cromie (Human Mental Workload: Models and Applications - 5th International Symposium, H-WORKLOAD 2021, Virtual Event, November 24-26, 2021, Proceedings, 2021)

Mental Workload Assessment in Military Pilots Using Flight Simulators and Physiological Sensors - Mario Henrique de Oliveira Coutinho da Silva; Thiago Fontes Macêdo; Cinthia de Carvalho Lourenço; Ivan de Souza Rehder; Ana Angélica da Costa Marchiori; Mateus Pereira Cesare; Raphael Gomes Cortes; Moacyr Machado Cardoso Junior; Emília Villani (Human Mental Workload: Models and Applications - 5th International Symposium, H-WORKLOAD 2021, Virtual Event, November 24-26, 2021, Proceedings, 2021)

In Search of the Redline: Perspectives on Mental Workload and the 'Underload Problem' - Mark S. Young (Human Mental Workload: Models and Applications - 5th International Symposium, H-WORKLOAD 2021, Virtual Event, November 24-26, 2021, Proceedings, 2021)

Analytical Modeling and Prediction of Cloud Workload - Tariq Daradkeh; Anjali Agarwal; Marzia Zaman; Ricardo Manzano S. (IEEE International Conference on Communications Workshops, ICC Workshops 2021, Montreal, QC, Canada, June 14-23, 2021, 2021)

Workload-aware Materialization for Efficient Variable Elimination on Bayesian Networks - Çigdem Aslay; Martino Ciaperoni; Aristides Gionis; Michael Mathioudakis (37th IEEE International Conference on Data Engineering, ICDE 2021, Chania, Greece, April 19-22, 2021, 2021)

Copernicus: Characterizing the Performance Implications of Compression Formats Used in Sparse Workloads - Bahar Asgari; Ramyad Hadidi; Joshua Dierberger; Charlotte Steinichen; Amaan Marfatia; Hyesoon Kim (IEEE International Symposium on Workload Characterization, IISWC 2021, Storrs, CT, USA, November 7-9, 2021, 2021)

Improving Workload Balance of a Marine CSEM Inversion Application - Jessica Imlau Dagostini; Henrique Corrêa Pereira da Silva; Vinícius Garcia Pinto; Roberto Machado Velho; Eduardo Simoes Lopes Gastal; Lucas Mello Schnorr (IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPS Workshops 2021, Portland, OR, USA, June 17-21, 2021, 2021)

A 7nm 4-Core AI Chip with 25.6TFLOPS Hybrid FP8 Training, 102.4TOPS INT4 Inference and Workload-Aware Throttling - Ankur Agrawal; Sae Kyu Lee; Joel Silberman; Matthew M. Ziegler; Mingu Kang; Swagath Venkataramani; Nianzheng Cao; Bruce M. Fleischer; Michael Guillorn; Matt Cohen; Silvia M. Mueller; Jinwook Oh; et al. (IEEE International Solid-State Circuits Conference, ISSCC 2021, San Francisco, CA, USA, February 13-22, 2021, 2021)

Modular Workload Format: Extending SWF for Modular Systems - Julita Corbalán; Marco D'Amico (Job Scheduling Strategies for Parallel Processing - 24th International Workshop, JSSPP 2021, Virtual Event, May 21, 2021, Revised Selected Papers, 2021)

Characterizing Machine Learning I/O Workloads on Leadership Scale HPC Systems - Arnab Kumar Paul; Ahmad Maroof Karimi; Feiyi Wang (29th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems, MASCOTS 2021, Houston, TX, USA, November 3-5, 2021, 2021)

Analysis of Physiological Parameters and Workload during Working Tasks in COVID-19 Pandemic Conditions - Christian Tamantini; Martina Lapresa; Francesco Scotto di Luzio; Francesca Cordella; Loredana Zollo (IEEE International Workshop on Metrology for Industry 4.0 & IoT, MetroInd4.0&IoT 2021, Rome, Italy, June 7-9, 2021, 2021)

DUB: dynamic underclocking and bypassing in nocs for heterogeneous GPU workloads - Srikant Bharadwaj; Shomit Das; Yasuko Eckert; Mark Oskin; Tushar Krishna (NOCS '21: International Symposium on Networks-on-Chip, Virtual Event, October 14-15, 2021, 2021)

Remote Programmability Model for SmartNICs in HPC Workloads - Morad Horany; Alex Margolin (OpenSHMEM and Related Technologies. OpenSHMEM in the Era of Exascale and Smart Networks - 8th Workshop on OpenSHMEM and Related Technologies, OpenSHMEM 2021, Virtual Event, September 14-16, 2021, Revised Selected Papers, 2021)

Steering Query Optimizers: A Practical Take on Big Data Workloads - Parimarjan Negi; Matteo Interlandi; Ryan Marcus; Mohammad Alizadeh; Tim Kraska; Marc T. Friedman; Alekh Jindal (SIGMOD '21: International Conference on Management of Data, Virtual Event, China, June 20-25, 2021, 2021)

When Idling is Ideal: Optimizing Tail-Latency for Heavy-Tailed Datacenter Workloads with Perséphone - Henri Maxime Demoulin; Joshua Fried; Isaac Pedisich; Marios Kogias; Boon Thau Loo; Linh Thi Xuan Phan; Irene Zhang (SOSP '21: ACM SIGOPS 28th Symposium on Operating Systems Principles, Virtual Event / Koblenz, Germany, October 26-29, 2021, 2021)

HTA: A Scalable High-Throughput Accelerator for Irregular HPC Workloads - Pouya Fotouhi; Marjan Fariborz; Roberto Proietti; Jason Lowe-Power; Venkatesh Akella; S. J. Ben Yoo (High Performance Computing - 36th International Conference, ISC High Performance 2021, Virtual Event, June 24 - July 2, 2021, Proceedings, 2021)

Leveraging vCPU-utilization rates to select cost-efficient VMs for parallel workloads - William F. C. Tavares; Marcio R. M. Assis; Edson Borin (UCC '21: 2021 IEEE/ACM 14th International Conference on Utility and Cloud Computing, Leicester, United Kingdom, December 6 - 9, 2021, 2021)

Simulation of In-Memory Database Workload: Markov Chains versus Relative Invocation Frequency and Equal Probability - A Trade-off between Accuracy and Time - Maximilian Barnert; Helmut Krcmar (ICPE '21: ACM/SPEC International Conference on Performance Engineering, Virtual Event, France, April 19-21, 2021, 2021)

Buzzy: Towards Realistic DBMS Benchmarking via Tailored, Representative, Synthetic Workloads: Vision Paper - Jörg Domaschka; Mark Leznik; Daniel Seybold; Simon Eismann; Johannes Grohmann; Samuel Kounev (ICPE '21: ACM/SPEC International Conference on Performance Engineering, Virtual Event, France, April 19-21, 2021, Companion Volume, 2021)

Human Mental Workload: Models and Applications - 5th International Symposium, H-WORKLOAD 2021, Virtual Event, November 24-26, 2021, Proceedings - Luca Longo; Maria Chiara Leva (Springer, 2021)

Energy hardware and workload aware job scheduling towards interconnected HPC environments - Marco D'Amico; Julita Corbalán (CoRR, 2021)

Workload-Aware Materialization of Junction Trees - Martino Ciaperoni; Çigdem Aslay; Aristides Gionis; Michael Mathioudakis (CoRR, 2021)

Dynamic K-Means Clustering of Workload and Cloud Resource Configuration for Cloud Elastic Model - Tariq Daradkeh; Anjali Agarwal; Marzia Zaman; Nishith Goel (IEEE Access, 2020)

A Cloud-Based Framework for Machine Learning Workloads and Applications - Álvaro López García; Viet D. Tran; Andy S. Alic; Miguel Caballer; Isabel Campos Plasencia; Alessandro Costantini; Stefan Dlugolinsky; Doina Cristina Duma; Giacinto Donvito; Jorge Gomes; Ignacio Heredia Cacha; Jesús E. Marco de Lucas; et al. (IEEE Access, 2020)