Sökresultat - "Computer Science - Performance"

Anomaly Detection and Improvement of Clusters using Enhanced K-Means Algorithm

Shorewala, Vardhan, Shorewala, Shivam

Knowledge Distillation for Reservoir-based Classifier: Human Activity Recognition

Kagiyama, Masaharu, Okita, Tsuyoshi

Profiling and optimization of multi-card GPU machine learning jobs

Lawenda, Marcin, Khloponin, Kyrylo, Samborski, Krzesimir, Szustak, Łukasz

CPINN-ABPI: Physics-Informed Neural Networks for Accurate Power Estimation in MPSoCs

Elshamy, Mohamed R., Elahi, Mehdi, Patooghy, Ahmad, Badawy, Abdel-Hameed A.

Linear Layouts: Robust Code Generation of Efficient Tensor Computation Using $\mathbb{F}_2$

Zhou, Keren, Lezcano, Mario, Goucher, Adam, Rakhmati, Akhmed, Niu, Jeff, Lebar, Justin, Szczerbuk, Pawel, Bell, Peter, Tillet, Phil, Raoux, Thomas, Moudallal, Zahi

Scheduling with Uncertain Holding Costs and its Application to Content Moderation

Gocmen, Caner, Lykouris, Thodoris, Sinha, Deeksha, Weng, Wentao

Constructive community race: full-density spiking neural network model drives neuromorphic computing

Senk, Johanna, Kurth, Anno, Furber, Steve, Gemmeke, Tobias, Golosio, Bruno, Heittmann, Arne, Knight, James C., Müller, Eric, Noll, Tobias, Nowotny, Thomas, Coppola, Gorka Peraza, Peres, Luca, Rhodes, Oliver, Rowley, Andrew, Schemmel, Johannes, Stadtmann, Tim, Tetzlaff, Tom, Tiddia, Gianmarco, van Albada, Sacha J., Villamar, José, Diesmann, Markus

Power-Capping Metric Evaluation for Improving Energy Efficiency

Patrou, Maria, Wang, Thomas, Elwasif, Wael, Eisenbach, Markus, Miller, Ross, Godoy, William, Hernandez, Oscar

R2R: Efficiently Navigating Divergent Reasoning Paths with Small-Large Model Token Routing

Fu, Tianyu, Ge, Yi, You, Yichen, Liu, Enshu, Yuan, Zhihang, Dai, Guohao, Yan, Shengen, Yang, Huazhong, Wang, Yu

Universal Workers: A Vision for Eliminating Cold Starts in Serverless Computing

Akbari, Saman, Hauswirth, Manfred

Avoid Forgetting by Preserving Global Knowledge Gradients in Federated Learning with Non-IID Data

Chunduru, Abhijit, Morafah, Majid, Morafah, Mahdi, Chellapandi, Vishnu Pandi, Li, Ang

FastCache: Fast Caching for Diffusion Transformer Through Learnable Linear Approximation

Liu, Dong, Zhang, Jiayi, Li, Yifan, Yu, Yanxuan, Lengerich, Ben, Wu, Ying Nian

Evaluating the impact of the L3 cache size of AMD EPYC CPUs on the performance of CFD applications

Lawenda, Marcin, Szustak, Łukasz, Környei, László, Galeazzo, Flavio Cesar Cunha, Bratek, Paweł

\texttt{Range-Arithmetic}: Verifiable Deep Learning Inference on an Untrusted Party

Rahimi, Ali, Khalaj, Babak H., Maddah-Ali, Mohammad Ali

Edge-First Language Model Inference: Models, Metrics, and Tradeoffs

Jang, SiYoung, Morabito, Roberto

Performance of Confidential Computing GPUs

Ibarra, Antonio Martínez, Stephen, Julian James, Vidal, Aurora González, Jayaram, K. R., Gómez, Antonio Fernando Skarmeta

Is Quantum Optimization Ready? An Effort Towards Neural Network Compression using Adiabatic Quantum Computing

Wanga, Zhehui, Choonga, Benjamin Chen Ming, Huang, Tian, Gerlinghoffa, Daniel, Goh, Rick Siow Mong, Liu, Cheng, Luo, Tao

Towards Stream-Based Monitoring for EVM Networks

Onica, Emanuel, Bărbieru, Claudiu-Nicu, Arusoaie, Andrei, Captarencu, Oana-Otilia, Amariei, Ciprian

A Methodology to Evaluate Strategies Predicting Rankings on Unseen Domains

Piérard, Sébastien, Deliège, Adrien, Halin, Anaïs, Van Droogenbroeck, Marc

Bridging the Gap: Physical PCI Device Integration Into SystemC-TLM Virtual Platforms

Bosbach, Nils, Pelke, Rebecca, Zurstraßen, Niko, Weinstock, Jan Henrik, Jünger, Lukas, Leupers, Rainer