ModeSwitch-LLM: A Lightweight Phase-Aware Controller for Cross-Mode LLM Inference on a Single GPU
Fuente:
arXiv
Saved in:
| Main Authors: | Sunesh, Aman, Alshehhi, Ali, Dhakne, Hivansh |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Bench360: Benchmarking Local LLM Inference from 360 Degrees
by: Stuhlmann, Linus, et al.
Published: (2025)
by: Stuhlmann, Linus, et al.
Published: (2025)
ISO: Overlap of Computation and Communication within Seqenence For LLM Inference
by: Xiao, Bin, et al.
Published: (2024)
by: Xiao, Bin, et al.
Published: (2024)
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)
QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving
by: Lin, Yujun, et al.
Published: (2024)
by: Lin, Yujun, et al.
Published: (2024)
Systematic Evaluation of Optimization Techniques for Long-Context Language Models
by: Ahmed, Ammar, et al.
Published: (2025)
by: Ahmed, Ammar, et al.
Published: (2025)
KVPR: Efficient LLM Inference with I/O-Aware KV Cache Partial Recomputation
by: Jiang, Chaoyi, et al.
Published: (2024)
by: Jiang, Chaoyi, et al.
Published: (2024)
GreenServ: Energy-Efficient Context-Aware Dynamic Routing for Multi-Model LLM Inference
by: Ziller, Thomas, et al.
Published: (2026)
by: Ziller, Thomas, et al.
Published: (2026)
KVDirect: Distributed Disaggregated LLM Inference
by: Chen, Shiyang, et al.
Published: (2024)
by: Chen, Shiyang, et al.
Published: (2024)
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)
Model Compression and Efficient Inference for Large Language Models: A Survey
by: Wang, Wenxiao, et al.
Published: (2024)
by: Wang, Wenxiao, et al.
Published: (2024)
KernelBenchX: A Comprehensive Benchmark for Evaluating LLM-Generated GPU Kernels
by: Wang, Han, et al.
Published: (2026)
by: Wang, Han, et al.
Published: (2026)
Agentic Auto-Scheduling: An Experimental Study of LLM-Guided Loop Optimization
by: Merouani, Massinissa, et al.
Published: (2025)
by: Merouani, Massinissa, et al.
Published: (2025)
CITER: Collaborative Inference for Efficient Large Language Model Decoding with Token-Level Routing
by: Zheng, Wenhao, et al.
Published: (2025)
by: Zheng, Wenhao, et al.
Published: (2025)
Enhancing Inference Efficiency of Large Language Models: Investigating Optimization Strategies and Architectural Innovations
by: Tyukin, Georgy
Published: (2024)
by: Tyukin, Georgy
Published: (2024)
LLMSYS-HPOBench: Hyperparameter Optimization Benchmark Suite for Real-World LLM Systems
by: Wu, Siyu, et al.
Published: (2026)
by: Wu, Siyu, et al.
Published: (2026)
An Inquiry into Datacenter TCO for LLM Inference with FP8
by: Kim, Jiwoo, et al.
Published: (2025)
by: Kim, Jiwoo, et al.
Published: (2025)
Energy-Aware LLMs: A step towards sustainable AI for downstream applications
by: Tran, Nguyen Phuc, et al.
Published: (2025)
by: Tran, Nguyen Phuc, et al.
Published: (2025)
Blink: CPU-Free LLM Inference by Delegating the Serving Stack to GPU and SmartNIC
by: Siavashi, Mohammad, et al.
Published: (2026)
by: Siavashi, Mohammad, et al.
Published: (2026)
Forecasting GPU Performance for Deep Learning Training and Inference
by: Lee, Seonho, et al.
Published: (2024)
by: Lee, Seonho, et al.
Published: (2024)
FLuRKA: Fast and accurate unified Low-Rank & Kernel Attention
by: Gupta, Ahan, et al.
Published: (2023)
by: Gupta, Ahan, et al.
Published: (2023)
Priority Sampling of Large Language Models for Compilers
by: Grubisic, Dejan, et al.
Published: (2024)
by: Grubisic, Dejan, et al.
Published: (2024)
KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache
by: Liu, Zirui, et al.
Published: (2024)
by: Liu, Zirui, et al.
Published: (2024)
Block Sparse Flash Attention
by: Ohayon, Daniel, et al.
Published: (2025)
by: Ohayon, Daniel, et al.
Published: (2025)
AttentionEngine: A Versatile Framework for Efficient Attention Mechanisms on Diverse Hardware Platforms
by: Chen, Feiyang, et al.
Published: (2025)
by: Chen, Feiyang, et al.
Published: (2025)
REAM: Merging Improves Pruning of Experts in LLMs
by: Jha, Saurav, et al.
Published: (2026)
by: Jha, Saurav, et al.
Published: (2026)
Glinthawk: A Two-Tiered Architecture for Offline LLM Inference
by: Hamadanian, Pouya, et al.
Published: (2025)
by: Hamadanian, Pouya, et al.
Published: (2025)
LServe: Efficient Long-sequence LLM Serving with Unified Sparse Attention
by: Yang, Shang, et al.
Published: (2025)
by: Yang, Shang, et al.
Published: (2025)
ZipServ: Fast and Memory-Efficient LLM Inference with Hardware-Aware Lossless Compression
by: Fan, Ruibo, et al.
Published: (2026)
by: Fan, Ruibo, et al.
Published: (2026)
Prism: Unleashing GPU Sharing for Cost-Efficient Multi-LLM Serving
by: Yu, Shan, et al.
Published: (2025)
by: Yu, Shan, et al.
Published: (2025)
MarginGate: Sparse Margin-Triggered Verification for Batch-Invariant LLM Inference
by: Chu, Kexin, et al.
Published: (2026)
by: Chu, Kexin, et al.
Published: (2026)
PARD: Accelerating LLM Inference with Low-Cost PARallel Draft Model Adaptation
by: An, Zihao, et al.
Published: (2025)
by: An, Zihao, et al.
Published: (2025)
Agentic Plan Caching: Test-Time Memory for Fast and Cost-Efficient LLM Agents
by: Zhang, Qizheng, et al.
Published: (2025)
by: Zhang, Qizheng, et al.
Published: (2025)
TaxBreak: Unmasking the Hidden Costs of LLM Inference Through Overhead Decomposition
by: Vellaisamy, Prabhu, et al.
Published: (2026)
by: Vellaisamy, Prabhu, et al.
Published: (2026)
Accelerating Mobile Inference through Fine-Grained CPU-GPU Co-Execution
by: Li, Zhuojin, et al.
Published: (2025)
by: Li, Zhuojin, et al.
Published: (2025)
Performance Characterization of Expert Router for Scalable LLM Inference
by: Pichlmeier, Josef, et al.
Published: (2024)
by: Pichlmeier, Josef, et al.
Published: (2024)
GPU Kernel Optimization Beyond Full Builds: An LLM Framework with Minimal Executable Programs
by: Chu, Ruifan, et al.
Published: (2025)
by: Chu, Ruifan, et al.
Published: (2025)
The Illusion of Power Capping in LLM Decode: A Phase-Aware Energy Characterisation Across Attention Architectures
by: Ma, Bole, et al.
Published: (2026)
by: Ma, Bole, et al.
Published: (2026)
DyLLM: Efficient Diffusion LLM Inference via Saliency-based Token Selection and Partial Attention
by: Lee, Younjoo, et al.
Published: (2026)
by: Lee, Younjoo, et al.
Published: (2026)
Rudder: Steering Prefetching in Distributed GNN Training using LLM Agents
by: Sarkar, Aishwarya, et al.
Published: (2026)
by: Sarkar, Aishwarya, et al.
Published: (2026)
PixelBrax: Learning Continuous Control from Pixels End-to-End on the GPU
by: McInroe, Trevor, et al.
Published: (2025)
by: McInroe, Trevor, et al.
Published: (2025)
Similar Items
-
Bench360: Benchmarking Local LLM Inference from 360 Degrees
by: Stuhlmann, Linus, et al.
Published: (2025) -
ISO: Overlap of Computation and Communication within Seqenence For LLM Inference
by: Xiao, Bin, et al.
Published: (2024) -
Characterizing WebGPU Dispatch Overhead for LLM Inference Across Four GPU Vendors, Three Backends, and Three Browsers
by: Maczan, Jędrzej
Published: (2026) -
QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving
by: Lin, Yujun, et al.
Published: (2024) -
Systematic Evaluation of Optimization Techniques for Long-Context Language Models
by: Ahmed, Ammar, et al.
Published: (2025)