Distributed, Parallel, and Cluster Computing · Computer Science
Recorder: Comprehensive Parallel I/O Tracing and Analysis
Chen Wang, Izzet Yildirim, Hariharan Devarajan, Kathryn Mohror +1
2025-01-09
Human-Computer Interaction · Computer Science
Traveler: Navigating Task Parallel Traces for Performance Analysis
Sayef Azad Sakin, Alex Bigelow, R. Tohid, Connor Scully-Allison +6
2022-09-07
Machine Learning · Computer Science
MARAuder's Map: Motion-Aware Real-time Activity Recognition with Layout-Based Trajectories
Zishuai Liu, Weihang You, Jin Lu, Fei Dou
2025-11-11
Machine Learning · Computer Science
Physical Activity Recognition Based on a Parallel Approach for an Ensemble of Machine Learning and Deep Learning Classifiers
M. Abid, A. Khabou, Y. Ouakrim, H. Watel +4
2022-01-24
Performance · Computer Science
Spatter: A Tool for Evaluating Gather / Scatter Performance
Patrick Lavin, Jeffrey Young, Jason Riedy, Richard Vuduc +2
2020-07-09
Artificial Intelligence · Computer Science
HAPRec: Hybrid Activity and Plan Recognizer
Roger Granada, Ramon Fraga Pereira, Juarez Monteiro, Leonardo Amado +3
2020-04-29
Computers and Society · Computer Science
Seeking Optimum System Settings for Physical Activity Recognition on Smartwatches
Muhammad Ahmad, Adil Mehmood Khan, Manuel Mazzara, Salvatore Distefano
2019-04-23
Machine Learning · Computer Science
Scheduling Real-time Deep Learning Services as Imprecise Computations
Shuochao Yao, Yifan Hao, Yiran Zhao, Huajie Shao +5
2020-11-03
Signal Processing · Electrical Eng. & Systems
Seeker: Synergizing Mobile and Energy Harvesting Wearable Sensors for Human Activity Recognition
Cyan Subhra Mishra, Jack Sampson, Mahmut Taylan Kandemir, Vijaykrishnan Narayanan
2022-04-29
Performance · Computer Science
EDAN: Towards Understanding Memory Parallelism and Latency Sensitivity in HPC
Siyuan Shen, Mikhail Khalilov, Lukas Gianinazzi, Timo Schneider +5
2025-12-16
Machine Learning · Computer Science
PACER: A Fully Push-forward-based Distributional Reinforcement Learning Algorithm
Wensong Bai, Chao Zhang, Yichao Fu, Peilin Zhao +2
2024-10-10
Computer Vision and Pattern Recognition · Computer Science
WatchHAR: Real-time On-device Human Activity Recognition System for Smartwatches
Taeyoung Yeon, Vasco Xu, Henry Hoffmann, Karan Ahuja
2025-09-08
Networking and Internet Architecture · Computer Science
PACC: Protocol-Aware Cross-Layer Compression for Compact Network Traffic Representation
Zhaochen Guo, Tianyufei Zhou, Honghao Wang, Ronghua Li +1
2026-02-10
Image and Video Processing · Electrical Eng. & Systems
Estimation of Non-Functional Properties for Embedded Hardware with Application to Image Processing
Christian Herglotz, Jürgen Seiler, André Kaup, Arne Hendricks +2
2022-03-04
Distributed, Parallel, and Cluster Computing · Computer Science
RASC: Enhancing Observability & Programmability in Smart Spaces
Anna Karanika, Kai-Siang Wang, Han-Ting Liang, Shalni Sundram +1
2026-01-21
Hardware Architecture · Computer Science
Puppeteer: A Random Forest-based Manager for Hardware Prefetchers across the Memory Hierarchy
Furkan Eris, Marcia S. Louis, Kubra Eris, Jose L. Abellan +1
2022-01-31
Machine Learning · Computer Science
SparseSense: Human Activity Recognition from Highly Sparse Sensor Data-streams Using Set-based Neural Networks
Alireza Abedin, S. Hamid Rezatofighi, Qinfeng Shi, Damith C. Ranasinghe
2019-06-07
Systems and Control · Electrical Eng. & Systems
Memory-Based Set Point Modulation for Improved Transient Response of Distributed Energy Resources
Milad Beikbabaei, Brady Alexander, Ashwin Venkataramanan, Ali Mehrizi-Sani
2024-05-14
Machine Learning · Computer Science
Temporal Patience: Efficient Adaptive Deep Learning for Embedded Radar Data Processing
Max Sponner, Julius Ott, Lorenzo Servadei, Bernd Waschneck +2
2023-09-13
Machine Learning · Computer Science
Reinforcement Learning as a Parsimonious Alternative to Prediction Cascades: A Case Study on Image Segmentation
Bharat Srikishan, Anika Tabassum, Srikanth Allu, Ramakrishnan Kannan +1
2024-02-20
Machine Learning · Computer Science
PAGER: A Framework for Failure Analysis of Deep Regression Models
Jayaraman J. Thiagarajan, Vivek Narayanaswamy, Puja Trivedi, Rushil Anirudh
2024-06-04
Systems and Control · Electrical Eng. & Systems
Latency-Aware Deep Learning Benchmark for Real-Time Cyber-Physical Attack and Fault Classification in Inverter-Dominated Power Grids
Emad Abukhousa, Saman Zonouz, A. P. Sakis Meliopoulos
2026-05-19