Risultati della ricerca - (decoding OR coding) (Algorithmsssicics OR (algorithm OR (algorithm OR algorithm)))

semi-PD: Towards Efficient LLM Serving via Phase-Wise Disaggregated Computation and Unified Storage di Hong, Ke, Chen, Lufang, Wang, Zhong, Li, Xiuhong, Mao, Qiuli, Ma, Jianping, Xiong, Chao, Wu, Guanyu, Han, Buhe, Dai, Guohao, Liang, Yun, Wang, Yu

Sommario: “... where prefill phase and decode phase are co-located on the same GPU, sharing the unified computational...”
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Done Is Better than Perfect: Unlocking Efficient Reasoning by Structured Multi-Turn Decomposition di Zeng, Zihao, Huang, Xuyao, Li, Boxiu, Zhang, Hao, Deng, Zhijie

Sommario: “... introduces Multi-Turn Decomposition (MinD) to decode conventional CoT into a sequence of explicit, structured...”
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Spark Transformer: Reactivating Sparsity in FFN and Attention di You, Chong, Wu, Kan, Jia, Zhipeng, Chen, Lin, Bhojanapalli, Srinadh, Guo, Jiaxian, Evci, Utku, Wassenberg, Jan, Netrapalli, Praneeth, Willcock, Jeremiah J., Subramanian, Suvinay, Chern, Felix, Andreev, Alek, Pathak, Shreya, Yu, Felix, Jain, Prateek, Culler, David E., Levy, Henry M., Kumar, Sanjiv

Sommario: “... introduce statistical top-k, a hardware-accelerator-friendly, linear-time approximate algorithm that avoids...”
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OjaKV: Context-Aware Online Low-Rank KV Cache Compression di Zhu, Yuxuan, Yang, David H., Amiri, Mohammad Mohammadi, Murugesan, Keerthiram, Pedapati, Tejaswini, Chen, Pin-Yu

Sommario: “... basis using Oja's algorithm for online principal component analysis. This adaptation involves a...”
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SparseServe: Unlocking Parallelism for Dynamic Sparse Attention in Long-Context LLM Serving di Zhou, Qihui, Yin, Peiqi, Zuo, Pengfei, Cheng, James

Sommario: “... length. Dynamic sparse attention algorithms (DSAs) mitigate this by attending only to the key-value (KV...”
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Flexible-Sector 6DMA Base Station: Modeling and Design di Li, Yunli, Shi, Xiaoming, Shao, Xiaodan, Xu, Jie, Zhang, Rui

Sommario: “...-forcing (ZF) based receiver applied at the BS to decode multiuser signals, we derive the average sum rate...”
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C2|Q>: A Robust Framework for Bridging Classical and Quantum Software Development di Ye, Boshuai, Khan, Arif Ali, Pihkakoski, Teemu, Liang, Peng, Akbar, Muhammad Azeem, Silveri, Matti, Malmi, Lauri

Sommario: “..., algorithm configuration, hardware selection, and result interpretation - making them difficult for classical...”
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LUT-LLM: Efficient Large Language Model Inference with Memory-based Computations on FPGAs di He, Zifan, Ye, Shengyu, Ma, Rui, Wang, Yang, Cong, Jason

Sommario: “... and deploy language models due to algorithm and architecture design limitations. This paper introduces...”
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IndexCache: Accelerating Sparse Attention via Cross-Layer Index Reuse di Bai, Yushi, Dong, Qian, Jiang, Ting, Lv, Xin, Du, Zhengxiao, Zeng, Aohan, Tang, Jie, Li, Juanzi

Sommario: “... and optimize this configuration. Training-free IndexCache applies a greedy search algorithm that selects which...”
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Token-Budget-Aware Pool Routing for Cost-Efficient LLM Inference di Chen, Huamin, Liu, Xunzhuo, Jiang, Junchen, He, Bowei, Liu, Xue

Sommario: “... at 10,000 req/s shows \$15.4M/yr in savings. The algorithm adds O(1) dispatch overhead, self-calibrates...”
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Monolithic MoS 2 Strain‐Tunable Spectrometer for on‐Chip Hyperspectral Imaging di Qikun Li, Yong Wang, Wenqiang Lu, Qinglei Guo, Zewei Ren, Jianguang Lu, Chengming Jiang

Sommario: “... decoding mechanism, is presented. Leveraging the exceptional electromechanical coupling and strain‐tunable...”
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Reinnervation of Muscle Targets Enhances the Separability of Motor Unit Signals Following Peripheral Nerve Transfers di Kiara N Quinn, Siyu Wang, Lang Qin, Alessandro Ascani Orsini, Kenzi Griffith, Rachana Suresh, Fausto Kang, Pierce L Perkins, Neha Joshi, Alexis L Lowe, Sami Tuffaha, Nitish V Thakor

Sommario: “... to decode motor intention, which limits their ability to replicate natural limb movements. Decomposing EMG...”
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A clustering‐based user pairing scheme for downlink 3D non‐orthogonal multiple access‐based visible light communication systems di Tanuja Dogra, Manoranjan Rai Bharti

Sommario: “... in literature to implement NOMA effectively so as to reduce the decoding order of successive interference...”
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An Improved Power Allocation Scheme for Downlink NOMA‐Based MIMO Visible Light Communication Systems di Tanuja Dogra, Manoranjan Rai Bharti

Sommario: “... as on the user index in the decoding order. In the proposed power allocation scheme, multiple transmitting light...”
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ADT‐UNet: An Innovative Algorithm for Glioma Segmentation in MR Images di Liu Zhipeng, Wu Jiawei, Jing Ye, Xuefeng Bian, Wu Qiwei, Rui Li, Yinxing Zhu

Sommario: “...‐UNet, an innovative algorithm for segmenting glioma tumors in MR images. ADT‐UNet leveraged attention...”
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A Risk Stratification Study of Ultrasound Images of Thyroid Nodules Based on Improved DETR di Zhang Le, Yue Liang, Xiaokang Hu, Taorong Qiu, Pan Xu

Sommario: “... diagnosis system for thyroid nodule ultrasound images, and the existing algorithms for detecting...”
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Software Reliability Prediction by Adaptive Gated Recurrent Unit‐Based Encoder‐Decoder Model With Ensemble Empirical Mode Decomposition di Minghao Yang, Shunkun Yang, Chong Bian

Sommario: “... quality assessment. With the rapid development of machine learning and intelligent algorithms, data‐driven...”
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A UAV Positioning Software Repository di Shafafi, Kamran

Sommario: “... implements an algorithm for optimal UAV placement in wireless communications scenarios. The system takes...”
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Achieving sustainable water distribution through penalty‐free multi‐objective evolutionary design optimization di Emily Kambalame, John Ndiritu

Sommario: “... WDS designs. The research aimed to improve the computational efficiency of PFMOEA by using real coding...”
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X-Shooting ULLYSES: Massive Stars at low metallicity IX: Empirical constraints on mass-loss rates and clumping parameters for OB supergiants in the Large Magellanic Cloud di Verhamme, O., Sundqvist, J., de Koter, A., Sana, H., Backs, F., Brands, S. A., Najarro, F., Puls, J., Vink, J. S., Crowther, P. A., Kubátová, B., Sander, A. A. C., Bernini-Peron, M., Kuiper, R., Prinja, R. K., Schillemans, P., Shenar, T., van Loon, J. Th., collaboration, XShootu

Sommario: “... and the genetic algorithm code Kiwi-GA to fit synthetic spectra of a multitude of diagnostic spectral lines...”
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