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Publication search results
found 312 matches
- 2024
- Abdalla Hussein, Patrick Mitran, Catherine Rosenberg:
Operating Multi-User Massive MIMO Networks: Trade-Off Between Performance and Runtime. IEEE Trans. Netw. Serv. Manag. 21(2): 2170-2186 (2024) - Burak Aksar, Efe Sencan, Benjamin Schwaller, Omar Aaziz, Vitus J. Leung, Jim M. Brandt, Brian Kulis, Manuel Egele, Ayse K. Coskun:
Runtime Performance Anomaly Diagnosis in Production HPC Systems Using Active Learning. IEEE Trans. Parallel Distributed Syst. 35(4): 693-706 (2024) - Ayodeji Opeyemi Abioye, William Hunt, Yue Gu, Eike Schneiders, Mohammad Naiseh, Joel E. Fischer, Sarvapali D. Ramchurn, Mohammad Divband Soorati, Blair Archibald, Michele Sevegnani:
The Effect of Predictive Formal Modelling at Runtime on Performance in Human-Swarm Interaction. HRI (Companion) 2024: 172-176 - Dimosthenis Iliadis-Apostolidis, Khalid Manaa, Matty Kadosh, Iacovos Ioannou, Vasos Vassiliou, Sokol Kosta, Juan Jose Vegas Olmos:
Towards Accelerating the Network Performance on DPUs by optimising the P4 runtime. PDP 2024: 238-244 - Ayodeji Opeyemi Abioye, William Hunt, Yue Gu, Eike Schneiders, Mohammad Naiseh, Joel E. Fischer, Sarvapali D. Ramchurn, Mohammad Divband Soorati, Blair Archibald, Michele Sevegnani:
The Effect of Predictive Formal Modelling at Runtime on Performance in Human-Swarm Interaction. CoRR abs/2401.11945 (2024) - Jonathan Will, Dominik Scheinert, Jan Bode, Cedric Kring, Seraphin Zunzer, Lauritz Thamsen:
Privacy-Preserving Sharing of Data Analytics Runtime Metrics for Performance Modeling. CoRR abs/2403.05692 (2024) - 2023
- Petros Anastasiadis, Nikela Papadopoulou, Georgios I. Goumas, Nectarios Koziris, Dennis Hoppe, Li Zhong:
PARALiA: A Performance Aware Runtime for Auto-tuning Linear Algebra on Heterogeneous Systems. ACM Trans. Archit. Code Optim. 20(4): 52:1-52:25 (2023) - Yuxuan Qin, Chuxiong Lin, Weifeng He, Yanan Sun, Zhigang Mao, Mingoo Seok:
CDAR-DRAM: Enabling Runtime DRAM Performance and Energy Optimization via In-Situ Charge Detection and Adaptive Data Restoration. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(9): 3078-3091 (2023) - Georgios Fatouros, George Kousiouris, Georgios Makridis, John Soldatos, Michael Filippakis, Dimosthenis Kyriazis:
Enhanced Runtime-Adaptable Routing for Serverless Functions based on Performance and Cost Tradeoffs in Hybrid Cloud Settings. CloudCom 2023: 177-184 - Linus Wagner, Maximilian Mayer, Andrea Marino, Alireza Soldani Nezhad, Hugo Zwaan, Ivano Malavolta:
On the Energy Consumption and Performance of WebAssembly Binaries across Programming Languages and Runtimes in IoT. EASE 2023: 72-82 - Burak Topçu, Isil Öz:
GPPRMon: GPU Runtime Memory Performance and Power Monitoring Tool. Euro-Par Workshops 2023: 17-29 - Yanjie Gao, Xianyu Gu, Hongyu Zhang, Haoxiang Lin, Mao Yang:
Runtime Performance Prediction for Deep Learning Models with Graph Neural Network. ICSE-SEIP 2023: 368-380 - Sebastian Kreutzer, Christian Iwainsky, Marta Garcia-Gasulla, Victor Lopez, Christian H. Bischof:
Runtime-Adaptable Selective Performance Instrumentation. IPDPS Workshops 2023: 423-432 - Yafan Huang, Zhengyang He, Lingda Li, Guanpeng Li:
Characterizing Runtime Performance Variation in Error Detection by Duplicating Instructions. ISSRE 2023: 730-741 - Andrey Alekseenko, Szilárd Páll:
Comparing the Performance of SYCL Runtimes for Molecular Dynamics Applications. IWOCL 2023: 6:1-6:2 - Shuyao Jiang, Ruiying Zeng, Zihao Rao, Jiazhen Gu, Yangfan Zhou, Michael R. Lyu:
Revealing Performance Issues in Server-Side WebAssembly Runtimes Via Differential Testing. ASE 2023: 661-672 - Anmol Surhonne, Florian Maurer, Thomas Wild, Andreas Herkersdorf:
LCT-TL : Learning Classifier Table (LCT) with Transfer Learning for runtime SoC performance-power optimization. MCSoC 2023: 73-80 - Naman Bhaia, Ling-Hong Hung, Robert Cordingly, Wes Lloyd:
Understanding Container Isolation: An Investigation of Performance Implications of Container Runtimes. WOC@Middleware 2023: 7-12 - Minyu Cui, Nikela Papadopoulou, Miquel Pericàs:
Analysis and Characterization of Performance Variability for OpenMP Runtime. SC Workshops 2023: 1614-1622 - Mohammad Alaul Haque Monil, Narasinga Rao Miniskar, Keita Teranishi, Jeffrey S. Vetter, Pedro Valero-Lara:
MatRIS: Multi-level Math Library Abstraction for Heterogeneity and Performance Portability using IRIS Runtime. SC Workshops 2023: 1081-1092 - Alan Romano, Weihang Wang:
When Function Inlining Meets WebAssembly: Counterintuitive Impacts on Runtime Performance. ESEC/SIGSOFT FSE 2023: 350-362 - Szilárd Aradi, László Lindenmaier, István Ferenc Lövétei:
Runtime Performance Analysis of a MILP-Based Real-Time Railway Traffic Management Algorithm. SISY 2023: 265-270 - Polykarpos Thomadakis, Nikos Chrisochoides:
Runtime Support for Performance Portability on Heterogeneous Distributed Platforms. CoRR abs/2303.02543 (2023) - Sebastian Kreutzer, Christian Iwainsky, Marta Garcia-Gasulla, Victor Lopez, Christian H. Bischof:
Runtime-Adaptable Selective Performance Instrumentation. CoRR abs/2303.11110 (2023) - Daniel Erhabor, Sreeharsha Udayashankar, Meiyappan Nagappan, Samer Al-Kiswany:
Measuring the Runtime Performance of Code Produced with GitHub Copilot. CoRR abs/2305.06439 (2023) - Shuyao Jiang, Ruiying Zeng, Zihao Rao, Jiazhen Gu, Yangfan Zhou, Michael R. Lyu:
Revealing Performance Issues in Server-side WebAssembly Runtimes via Differential Testing. CoRR abs/2309.12167 (2023) - Chenxingyu Zhao, Yulin Sun, Ying Xiong, Arvind Krishnamurthy:
Quark: A High-Performance Secure Container Runtime for Serverless Computing. CoRR abs/2309.12624 (2023) - Longteng Zhang, Xiang Liu, Zeyu Li, Xinglin Pan, Peijie Dong, Ruibo Fan, Rui Guo, Xin Wang, Qiong Luo, Shaohuai Shi, Xiaowen Chu:
Dissecting the Runtime Performance of the Training, Fine-tuning, and Inference of Large Language Models. CoRR abs/2311.03687 (2023) - Minyu Cui, Nikela Papadopoulou, Miquel Pericàs:
Analysis and Characterization of Performance Variability for OpenMP Runtime. CoRR abs/2311.05267 (2023) - 2022
- Johan Ruuskanen:
Dynamical Modeling of Cloud Applications for Runtime Performance Management. Lund University, Sweden, 2022
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