Saved in:
| Main Author: | Moye, Javed I. Khan an Henry Uwabor |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2509.18114 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Skew-Probabilistic Neural Networks for Learning from Imbalanced Data
by: Naik, Shraddha M., et al.
Published: (2023)
by: Naik, Shraddha M., et al.
Published: (2023)
Harvest: Opportunistic Peer-to-Peer GPU Caching for LLM Inference
by: Gopal, Nikhil, et al.
Published: (2026)
by: Gopal, Nikhil, et al.
Published: (2026)
Provable Imbalanced Point Clustering
by: Denisov, David, et al.
Published: (2024)
by: Denisov, David, et al.
Published: (2024)
A systematic literature Review for Transformer-based Software Vulnerability detection
by: Naseer, Fiza, et al.
Published: (2026)
by: Naseer, Fiza, et al.
Published: (2026)
HGCA: Hybrid GPU-CPU Attention for Long Context LLM Inference
by: Deng, Weishu, et al.
Published: (2025)
by: Deng, Weishu, et al.
Published: (2025)
MCAP: Deployment-Time Layer Profiling for Memory-Constrained LLM Inference
by: Das, Anurita
Published: (2026)
by: Das, Anurita
Published: (2026)
A Generalized Unified Skew-Normal Process with Neural Bayes Inference
by: Wang, Kesen, et al.
Published: (2024)
by: Wang, Kesen, et al.
Published: (2024)
AGFT: An Adaptive GPU Frequency Tuner for Real-Time LLM Inference Optimization
by: Ye, Zicong, et al.
Published: (2025)
by: Ye, Zicong, et al.
Published: (2025)
Characterizing LLM Inference Energy-Performance Tradeoffs across Workloads and GPU Scaling
by: Maliakel, Paul Joe, et al.
Published: (2025)
by: Maliakel, Paul Joe, et al.
Published: (2025)
Conformal Inference for Open-Set and Imbalanced Classification
by: Xie, Tianmin, et al.
Published: (2025)
by: Xie, Tianmin, et al.
Published: (2025)
SpecOffload: Unlocking Latent GPU Capacity for LLM Inference on Resource-Constrained Devices
by: Zhuge, Xiangwen, et al.
Published: (2025)
by: Zhuge, Xiangwen, et al.
Published: (2025)
EnergyLens: Predictive Energy-Aware Exploration for Multi-GPU LLM Inference Optimization
by: Song, Zhiye, et al.
Published: (2026)
by: Song, Zhiye, et al.
Published: (2026)
Accelerating Sparse Transformer Inference on GPU
by: Dai, Wenhao, et al.
Published: (2025)
by: Dai, Wenhao, et al.
Published: (2025)
LiteCache: A Query Similarity-Driven, GPU-Centric KVCache Subsystem for Efficient LLM Inference
by: Yi, Jiawei, et al.
Published: (2025)
by: Yi, Jiawei, et al.
Published: (2025)
MNN-LLM: A Generic Inference Engine for Fast Large Language Model Deployment on Mobile Devices
by: Wang, Zhaode, et al.
Published: (2025)
by: Wang, Zhaode, et al.
Published: (2025)
Imbalanced Data Clustering using Equilibrium K-Means
by: He, Yudong
Published: (2024)
by: He, Yudong
Published: (2024)
Challenging GPU Dominance: When CPUs Outperform for On-Device LLM Inference
by: Zhang, Haolin, et al.
Published: (2025)
by: Zhang, Haolin, et al.
Published: (2025)
DPU or GPU for Accelerating Neural Networks Inference -- Why not both? Split CNN Inference
by: Oztas, Ali Emre, et al.
Published: (2026)
by: Oztas, Ali Emre, et al.
Published: (2026)
The cognitive companion: a lightweight parallel monitoring architecture for detecting and recovering from reasoning degradation in LLM agents
by: Khan, Rafflesia, et al.
Published: (2026)
by: Khan, Rafflesia, et al.
Published: (2026)
Recovering Imbalanced Clusters via Gradient-Based Projection Pursuit
by: Eppert, Martin, et al.
Published: (2025)
by: Eppert, Martin, et al.
Published: (2025)
Confidential LLM Inference: Performance and Cost Across CPU and GPU TEEs
by: Chrapek, Marcin, et al.
Published: (2025)
by: Chrapek, Marcin, et al.
Published: (2025)
A Robust Clustered Federated Learning Approach for Non-IID Data with Quantity Skew
by: Ali, Michael Ben, et al.
Published: (2025)
by: Ali, Michael Ben, et al.
Published: (2025)
CoLLM: Continuous Adaptation for SLO-Aware LLM Serving on Shared GPU Clusters
by: Huang, Shaoyuan, et al.
Published: (2026)
by: Huang, Shaoyuan, et al.
Published: (2026)
Addressing Class Imbalance with Probabilistic Graphical Models and Variational Inference
by: Lou, Yujia, et al.
Published: (2025)
by: Lou, Yujia, et al.
Published: (2025)
CHAI: Clustered Head Attention for Efficient LLM Inference
by: Agarwal, Saurabh, et al.
Published: (2024)
by: Agarwal, Saurabh, et al.
Published: (2024)
ECGN: A Cluster-Aware Approach to Graph Neural Networks for Imbalanced Classification
by: Thapaliya, Bishal, et al.
Published: (2024)
by: Thapaliya, Bishal, et al.
Published: (2024)
Mind the Memory Gap: Unveiling GPU Bottlenecks in Large-Batch LLM Inference
by: Recasens, Pol G., et al.
Published: (2025)
by: Recasens, Pol G., et al.
Published: (2025)
ModeSwitch-LLM: A Lightweight Phase-Aware Controller for Cross-Mode LLM Inference on a Single GPU
by: Sunesh, Aman, et al.
Published: (2026)
by: Sunesh, Aman, et al.
Published: (2026)
An Analytical Multiple Criteria Framework for Temporal and Dynamic Business-to-Business Customer Segmentation in Manufacturing
by: Raees, Muhammad, et al.
Published: (2026)
by: Raees, Muhammad, et al.
Published: (2026)
Characterizing WebGPU Dispatch Overhead for LLM Inference Across Four GPU Vendors, Three Backends, and Three Browsers
by: Maczan, Jędrzej
Published: (2026)
by: Maczan, Jędrzej
Published: (2026)
Efficient Edge LLMs Deployment via HessianAware Quantization and CPU GPU Collaborative
by: Zhang, Tuo, et al.
Published: (2025)
by: Zhang, Tuo, et al.
Published: (2025)
Forecasting GPU Performance for Deep Learning Training and Inference
by: Lee, Seonho, et al.
Published: (2024)
by: Lee, Seonho, et al.
Published: (2024)
NEO: Saving GPU Memory Crisis with CPU Offloading for Online LLM Inference
by: Jiang, Xuanlin, et al.
Published: (2024)
by: Jiang, Xuanlin, et al.
Published: (2024)
Cost-Efficient Multimodal LLM Inference via Cross-Tier GPU Heterogeneity
by: Yu, Donglin
Published: (2026)
by: Yu, Donglin
Published: (2026)
Skew-adaptive conformal prediction
by: F., Paulo C. Marques, et al.
Published: (2026)
by: F., Paulo C. Marques, et al.
Published: (2026)
Energy-Efficient Vision Transformer Inference for Edge-AI Deployment
by: Amanzhol, Nursultan, et al.
Published: (2025)
by: Amanzhol, Nursultan, et al.
Published: (2025)
Private LLM Inference on Consumer Blackwell GPUs: A Practical Guide for Cost-Effective Local Deployment in SMEs
by: Knoop, Jonathan, et al.
Published: (2026)
by: Knoop, Jonathan, et al.
Published: (2026)
CTTVAE: Latent Space Structuring for Conditional Tabular Data Generation on Imbalanced Datasets
by: Devic, Milosh, et al.
Published: (2026)
by: Devic, Milosh, et al.
Published: (2026)
On Imbalanced Regression with Hoeffding Trees
by: Alchirch, Pantia-Marina, et al.
Published: (2026)
by: Alchirch, Pantia-Marina, et al.
Published: (2026)
Scaling On-Device GPU Inference for Large Generative Models
by: Tang, Jiuqiang, et al.
Published: (2025)
by: Tang, Jiuqiang, et al.
Published: (2025)
Similar Items
-
Skew-Probabilistic Neural Networks for Learning from Imbalanced Data
by: Naik, Shraddha M., et al.
Published: (2023) -
Harvest: Opportunistic Peer-to-Peer GPU Caching for LLM Inference
by: Gopal, Nikhil, et al.
Published: (2026) -
Provable Imbalanced Point Clustering
by: Denisov, David, et al.
Published: (2024) -
A systematic literature Review for Transformer-based Software Vulnerability detection
by: Naseer, Fiza, et al.
Published: (2026) -
HGCA: Hybrid GPU-CPU Attention for Long Context LLM Inference
by: Deng, Weishu, et al.
Published: (2025)