arXiv cs.PF Performance
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[2025-12-31 Wed (UTC), no new articles found for csPF Performance]
December 31, 2025 at 6:38 AM
[2025-12-31 Wed (UTC), no new articles found for csPF Performance]
Reposted by arXiv cs.PF Performance
Eddy Truyen (DistriNet, KU Leuven, 3001 Leuven, Belgium), Wouter Joosen (DistriNet, KU Leuven, 3001 Leuven, Belgium): Optimal Configuration of API Resources in Cloud Native Computing https://arxiv.org/abs/2512.23494 https://arxiv.org/pdf/2512.23494 https://arxiv.org/html/2512.23494
December 30, 2025 at 6:31 AM
Eddy Truyen (DistriNet, KU Leuven, 3001 Leuven, Belgium), Wouter Joosen (DistriNet, KU Leuven, 3001 Leuven, Belgium): Optimal Configuration of API Resources in Cloud Native Computing https://arxiv.org/abs/2512.23494 https://arxiv.org/pdf/2512.23494 https://arxiv.org/html/2512.23494
Reposted by arXiv cs.PF Performance
Yongjie Guan (Zhejiang University of Technology): Local Rendezvous Hashing: Bounded Loads and Minimal Churn via Cache-Local Candidates https://arxiv.org/abs/2512.23434 https://arxiv.org/pdf/2512.23434 https://arxiv.org/html/2512.23434
December 30, 2025 at 6:31 AM
Yongjie Guan (Zhejiang University of Technology): Local Rendezvous Hashing: Bounded Loads and Minimal Churn via Cache-Local Candidates https://arxiv.org/abs/2512.23434 https://arxiv.org/pdf/2512.23434 https://arxiv.org/html/2512.23434
Reposted by arXiv cs.PF Performance
Gang Liao, et al.: KernelEvolve: Scaling Agentic Kernel Coding for Heterogeneous AI Accelerators at Meta https://arxiv.org/abs/2512.23236 https://arxiv.org/pdf/2512.23236 https://arxiv.org/html/2512.23236
December 30, 2025 at 6:34 AM
Gang Liao, et al.: KernelEvolve: Scaling Agentic Kernel Coding for Heterogeneous AI Accelerators at Meta https://arxiv.org/abs/2512.23236 https://arxiv.org/pdf/2512.23236 https://arxiv.org/html/2512.23236
Reposted by arXiv cs.PF Performance
Ruifan Chu, Anbang Wang, Xiuxiu Bai, Shuai Liu, Xiaoshe Dong: GPU Kernel Optimization Beyond Full Builds: An LLM Framework with Minimal Executable Programs https://arxiv.org/abs/2512.22147 https://arxiv.org/pdf/2512.22147 https://arxiv.org/html/2512.22147
December 30, 2025 at 6:30 AM
Ruifan Chu, Anbang Wang, Xiuxiu Bai, Shuai Liu, Xiaoshe Dong: GPU Kernel Optimization Beyond Full Builds: An LLM Framework with Minimal Executable Programs https://arxiv.org/abs/2512.22147 https://arxiv.org/pdf/2512.22147 https://arxiv.org/html/2512.22147
[2025-12-30 Tue (UTC), no new articles found for csPF Performance]
December 30, 2025 at 6:33 AM
[2025-12-30 Tue (UTC), no new articles found for csPF Performance]
Reposted by arXiv cs.PF Performance
Hannah Atmer, Yuan Yao, Thiemo Voigt, Stefanos Kaxiras: Prefill vs. Decode Bottlenecks: SRAM-Frequency Tradeoffs and the Memory-Bandwidth Ceiling https://arxiv.org/abs/2512.22066 https://arxiv.org/pdf/2512.22066 https://arxiv.org/html/2512.22066
December 29, 2025 at 6:29 AM
Hannah Atmer, Yuan Yao, Thiemo Voigt, Stefanos Kaxiras: Prefill vs. Decode Bottlenecks: SRAM-Frequency Tradeoffs and the Memory-Bandwidth Ceiling https://arxiv.org/abs/2512.22066 https://arxiv.org/pdf/2512.22066 https://arxiv.org/html/2512.22066
Reposted by arXiv cs.PF Performance
Mumenin, Underwood, Dai, Wang, Di, Luki\'c, Cappello: DeepCQ: General-Purpose Deep-Surrogate Framework for Lossy Compression Quality Prediction https://arxiv.org/abs/2512.21433 https://arxiv.org/pdf/2512.21433 https://arxiv.org/html/2512.21433
December 29, 2025 at 6:32 AM
Mumenin, Underwood, Dai, Wang, Di, Luki\'c, Cappello: DeepCQ: General-Purpose Deep-Surrogate Framework for Lossy Compression Quality Prediction https://arxiv.org/abs/2512.21433 https://arxiv.org/pdf/2512.21433 https://arxiv.org/html/2512.21433
[2025-12-29 Mon (UTC), no new articles found for csPF Performance]
December 29, 2025 at 6:33 AM
[2025-12-29 Mon (UTC), no new articles found for csPF Performance]
[2025-12-26 Fri (UTC), no new articles found for csPF Performance]
December 26, 2025 at 6:38 AM
[2025-12-26 Fri (UTC), no new articles found for csPF Performance]
Reposted by arXiv cs.PF Performance
Liu, Wu, Wu, Liu, Wang, Zhou, Huang, Namkoong: LLM Swiss Round: Aggregating Multi-Benchmark Performance via Competitive Swiss-System Dynamics https://arxiv.org/abs/2512.21010 https://arxiv.org/pdf/2512.21010 https://arxiv.org/html/2512.21010
December 25, 2025 at 6:33 AM
Liu, Wu, Wu, Liu, Wang, Zhou, Huang, Namkoong: LLM Swiss Round: Aggregating Multi-Benchmark Performance via Competitive Swiss-System Dynamics https://arxiv.org/abs/2512.21010 https://arxiv.org/pdf/2512.21010 https://arxiv.org/html/2512.21010
[2025-12-25 Thu (UTC), no new articles found for csPF Performance]
December 25, 2025 at 6:33 AM
[2025-12-25 Thu (UTC), no new articles found for csPF Performance]
Reposted by arXiv cs.PF Performance
Thomas Attema, Bor de Kock, Sandesh Manganahalli Jayaprakash, Dimitrios Schoinianakis, Thom Sijpesteijn, Rintse van de Vlasakker: Post-Quantum Cryptography in the 5G Core https://arxiv.org/abs/2512.20243 https://arxiv.org/pdf/2512.20243 https://arxiv.org/html/2512.20243
December 24, 2025 at 6:30 AM
Thomas Attema, Bor de Kock, Sandesh Manganahalli Jayaprakash, Dimitrios Schoinianakis, Thom Sijpesteijn, Rintse van de Vlasakker: Post-Quantum Cryptography in the 5G Core https://arxiv.org/abs/2512.20243 https://arxiv.org/pdf/2512.20243 https://arxiv.org/html/2512.20243
Reposted by arXiv cs.PF Performance
Zhuang, Zhang, Brock, Wu, Chen, Endo, Matsuoka, Wahib: SHIRO: Near-Optimal Communication Strategies for Distributed Sparse Matrix Multiplication https://arxiv.org/abs/2512.20178 https://arxiv.org/pdf/2512.20178 https://arxiv.org/html/2512.20178
December 24, 2025 at 6:30 AM
Zhuang, Zhang, Brock, Wu, Chen, Endo, Matsuoka, Wahib: SHIRO: Near-Optimal Communication Strategies for Distributed Sparse Matrix Multiplication https://arxiv.org/abs/2512.20178 https://arxiv.org/pdf/2512.20178 https://arxiv.org/html/2512.20178
[2025-12-24 Wed (UTC), no new articles found for csPF Performance]
December 24, 2025 at 6:33 AM
[2025-12-24 Wed (UTC), no new articles found for csPF Performance]
Reposted by arXiv cs.PF Performance
Nail Akar, Ismail Cosandal, Sennur Ulukus: Age of Information with Age-Dependent Server Selection https://arxiv.org/abs/2512.18457 https://arxiv.org/pdf/2512.18457 https://arxiv.org/html/2512.18457
December 23, 2025 at 6:32 AM
Nail Akar, Ismail Cosandal, Sennur Ulukus: Age of Information with Age-Dependent Server Selection https://arxiv.org/abs/2512.18457 https://arxiv.org/pdf/2512.18457 https://arxiv.org/html/2512.18457
Karfakis, Tahmasebi, Chen, Yao, Mitra, Pan, Kwon, Gupta: RAPID-LLM: Resilience-Aware Performance analysis of Infrastructure for Distributed LLM Training and Inference https://arxiv.org/abs/2512.19606 https://arxiv.org/pdf/2512.19606 https://arxiv.org/html/2512.19606
December 23, 2025 at 6:33 AM
Karfakis, Tahmasebi, Chen, Yao, Mitra, Pan, Kwon, Gupta: RAPID-LLM: Resilience-Aware Performance analysis of Infrastructure for Distributed LLM Training and Inference https://arxiv.org/abs/2512.19606 https://arxiv.org/pdf/2512.19606 https://arxiv.org/html/2512.19606
[2025-12-23 Tue (UTC), 1 new article found for csPF Performance]
December 23, 2025 at 6:33 AM
[2025-12-23 Tue (UTC), 1 new article found for csPF Performance]
Reposted by arXiv cs.PF Performance
Mariana Bergonzi, Joaqu\'in Fern\'andez, Ernesto Kofman: On General Linearly Implicit Quantized State System Methods https://arxiv.org/abs/2512.17855 https://arxiv.org/pdf/2512.17855 https://arxiv.org/html/2512.17855
December 22, 2025 at 6:39 AM
Mariana Bergonzi, Joaqu\'in Fern\'andez, Ernesto Kofman: On General Linearly Implicit Quantized State System Methods https://arxiv.org/abs/2512.17855 https://arxiv.org/pdf/2512.17855 https://arxiv.org/html/2512.17855
Reposted by arXiv cs.PF Performance
Yikang Yue, Yishu Yin, Xuehai Qian: GreedySnake: Accelerating SSD-Offloaded LLM Training with Efficient Scheduling and Optimizer Step Overlapping https://arxiv.org/abs/2512.17570 https://arxiv.org/pdf/2512.17570 https://arxiv.org/html/2512.17570
December 22, 2025 at 6:33 AM
Yikang Yue, Yishu Yin, Xuehai Qian: GreedySnake: Accelerating SSD-Offloaded LLM Training with Efficient Scheduling and Optimizer Step Overlapping https://arxiv.org/abs/2512.17570 https://arxiv.org/pdf/2512.17570 https://arxiv.org/html/2512.17570
[2025-12-22 Mon (UTC), no new articles found for csPF Performance]
December 22, 2025 at 6:33 AM
[2025-12-22 Mon (UTC), no new articles found for csPF Performance]
Reposted by arXiv cs.PF Performance
Tang, Zhang, Chen, Huang, Jin, Xu, Chen, Sun, Chen: MultiPath Transfer Engine: Breaking GPU and Host-Memory Bandwidth Bottlenecks in LLM Services https://arxiv.org/abs/2512.16056 https://arxiv.org/pdf/2512.16056 https://arxiv.org/html/2512.16056
December 19, 2025 at 6:30 AM
Tang, Zhang, Chen, Huang, Jin, Xu, Chen, Sun, Chen: MultiPath Transfer Engine: Breaking GPU and Host-Memory Bandwidth Bottlenecks in LLM Services https://arxiv.org/abs/2512.16056 https://arxiv.org/pdf/2512.16056 https://arxiv.org/html/2512.16056
Reposted by arXiv cs.PF Performance
Daniel Nichols, Prajwal Singhania, Charles Jekel, Abhinav Bhatele, Harshitha Menon: Optimizing Agentic Language Model Inference via Speculative Tool Calls https://arxiv.org/abs/2512.15834 https://arxiv.org/pdf/2512.15834 https://arxiv.org/html/2512.15834
December 19, 2025 at 6:34 AM
Daniel Nichols, Prajwal Singhania, Charles Jekel, Abhinav Bhatele, Harshitha Menon: Optimizing Agentic Language Model Inference via Speculative Tool Calls https://arxiv.org/abs/2512.15834 https://arxiv.org/pdf/2512.15834 https://arxiv.org/html/2512.15834
Reposted by arXiv cs.PF Performance
Yijie Zhi, Yayu Cao, Jianhua Dai, Xiaoyang Han, Jingwen Pu, Qingran Wu, Sheng Cheng, Ming Cai: LOOPRAG: Enhancing Loop Transformation Optimization with Retrieval-Augmented Large Language Models https://arxiv.org/abs/2512.15766 https://arxiv.org/pdf/2512.15766 https://arxiv.org/html/2512.15766
December 19, 2025 at 6:34 AM
Yijie Zhi, Yayu Cao, Jianhua Dai, Xiaoyang Han, Jingwen Pu, Qingran Wu, Sheng Cheng, Ming Cai: LOOPRAG: Enhancing Loop Transformation Optimization with Retrieval-Augmented Large Language Models https://arxiv.org/abs/2512.15766 https://arxiv.org/pdf/2512.15766 https://arxiv.org/html/2512.15766
Reposted by arXiv cs.PF Performance
Anshul Kumar, Gagan Raj Gupta, Manisha Chawla: AdaGradSelect: An adaptive gradient-guided layer selection method for efficient fine-tuning of SLMs https://arxiv.org/abs/2512.15764 https://arxiv.org/pdf/2512.15764 https://arxiv.org/html/2512.15764
December 19, 2025 at 6:32 AM
Anshul Kumar, Gagan Raj Gupta, Manisha Chawla: AdaGradSelect: An adaptive gradient-guided layer selection method for efficient fine-tuning of SLMs https://arxiv.org/abs/2512.15764 https://arxiv.org/pdf/2512.15764 https://arxiv.org/html/2512.15764