SLO-aware GPU Frequency Scaling for Energy Efficient LLM Inference Serving
Fuente:
arXiv
Saved in:
| Main Authors: | Kakolyris, Andreas Kosmas, Masouros, Dimosthenis, Vavaroutsos, Petros, Xydis, Sotirios, Soudris, Dimitrios |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Leveraging Core and Uncore Frequency Scaling for Power-Efficient Serverless Workflows
by: Tzenetopoulos, Achilleas, et al.
Published: (2024)
by: Tzenetopoulos, Achilleas, et al.
Published: (2024)
Multi-Partner Project: Multi-GPU Performance Portability Analysis for CFD Simulations at Scale
by: Eleftherakis, Panagiotis-Eleftherios, et al.
Published: (2026)
by: Eleftherakis, Panagiotis-Eleftherios, et al.
Published: (2026)
SynergAI: Edge-to-Cloud Synergy for Architecture-Driven High-Performance Orchestration for AI Inference
by: Stathopoulou, Foteini, et al.
Published: (2025)
by: Stathopoulou, Foteini, et al.
Published: (2025)
Understanding Bottlenecks for Efficiently Serving LLM Inference With KV Offloading
by: Meng, William, et al.
Published: (2025)
by: Meng, William, et al.
Published: (2025)
Characterizing CPU-Induced Slowdowns in Multi-GPU LLM Inference
by: Chung, Euijun, et al.
Published: (2026)
by: Chung, Euijun, et al.
Published: (2026)
Conduit: Programmer-Transparent Near-Data Processing Using Multiple Compute-Capable Resources in Solid State Drives
by: Nadig, Rakesh, et al.
Published: (2026)
by: Nadig, Rakesh, et al.
Published: (2026)
Adaptive KV Cache Reuse for Fast Long-Context LLM Serving
by: li, Fei, et al.
Published: (2026)
by: li, Fei, et al.
Published: (2026)
PAM: Processing Across Memory Hierarchy for Efficient KV-centric LLM Serving System
by: Liu, Lian, et al.
Published: (2026)
by: Liu, Lian, et al.
Published: (2026)
Analyzing Reverse Address Translation Overheads in Multi-GPU Scale-Up Pods
by: Fatima, Amel, et al.
Published: (2026)
by: Fatima, Amel, et al.
Published: (2026)
Taming Asynchronous CPU-GPU Coupling for Frequency-aware Latency Estimation on Mobile Edge
by: Chen, Jiesong, et al.
Published: (2026)
by: Chen, Jiesong, et al.
Published: (2026)
GreenLLM: Disaggregating Large Language Model Serving on Heterogeneous GPUs for Lower Carbon Emissions
by: Shi, Tianyao, et al.
Published: (2024)
by: Shi, Tianyao, et al.
Published: (2024)
Fine-Grained Power and Energy Attribution on AMD GPU/APU-Based Exascale Nodes
by: McDaniel, Adam, et al.
Published: (2026)
by: McDaniel, Adam, et al.
Published: (2026)
Chopper: A Multi-Level GPU Characterization Tool & Derived Insights Into LLM Training Inefficiency
by: Kurzynski, Marco, et al.
Published: (2025)
by: Kurzynski, Marco, et al.
Published: (2025)
An Evaluation and Comparison of GPU Hardware and Solver Libraries for Accelerating the OPM Flow Reservoir Simulator
by: Qiu, Tong Dong, et al.
Published: (2023)
by: Qiu, Tong Dong, et al.
Published: (2023)
Sparse MTTKRP Acceleration for Tensor Decomposition on GPU
by: Wijeratne, Sasindu, et al.
Published: (2024)
by: Wijeratne, Sasindu, et al.
Published: (2024)
Exploring the Efficiency of 3D-Stacked AI Chip Architecture for LLM Inference with Voxel
by: Liu, Yiqi, et al.
Published: (2026)
by: Liu, Yiqi, et al.
Published: (2026)
HetGPU: The pursuit of making binary compatibility towards GPUs
by: Yang, Yiwei, et al.
Published: (2025)
by: Yang, Yiwei, et al.
Published: (2025)
Optimizing ML Concurrent Computation and Communication with GPU DMA Engines
by: Agrawal, Anirudha, et al.
Published: (2024)
by: Agrawal, Anirudha, et al.
Published: (2024)
Efficient MoE Serving in the Memory-Bound Regime: Balance Activated Experts, Not Tokens
by: Yu, Yanpeng, et al.
Published: (2025)
by: Yu, Yanpeng, et al.
Published: (2025)
Application Experiences on a GPU-Accelerated Arm-based HPC Testbed
by: Elwasif, Wael, et al.
Published: (2022)
by: Elwasif, Wael, et al.
Published: (2022)
Microbenchmark-Driven Analytical Performance Modeling Across Modern GPU Architectures
by: Jarmusch, Aaron, et al.
Published: (2026)
by: Jarmusch, Aaron, et al.
Published: (2026)
Cache Your Prompt When It's Green: Carbon-Aware Caching for Large Language Model Serving
by: Tian, Yuyang, et al.
Published: (2025)
by: Tian, Yuyang, et al.
Published: (2025)
FinGraV: Methodology for Fine-Grain GPU Power Visibility and Insights
by: Singhania, Varsha, et al.
Published: (2024)
by: Singhania, Varsha, et al.
Published: (2024)
DynamoLLM: Designing LLM Inference Clusters for Performance and Energy Efficiency
by: Stojkovic, Jovan, et al.
Published: (2024)
by: Stojkovic, Jovan, et al.
Published: (2024)
Towards Compute-Aware In-Switch Computing for LLMs Tensor-Parallelism on Multi-GPU Systems
by: Zhang, Chen, et al.
Published: (2026)
by: Zhang, Chen, et al.
Published: (2026)
Scheduling Techniques of AI Models on Modern Heterogeneous Edge GPU -- A Critical Review
by: Majeed, Ashiyana Abdul, et al.
Published: (2025)
by: Majeed, Ashiyana Abdul, et al.
Published: (2025)
Improving Multi-Instance GPU Efficiency via Sub-Entry Sharing TLB Design
by: Li, Bingyao, et al.
Published: (2024)
by: Li, Bingyao, et al.
Published: (2024)
SwarmIO: Towards 100 Million IOPS SSD Emulation for Next-generation GPU-centric Storage Systems
by: Kim, Hyeseong, et al.
Published: (2026)
by: Kim, Hyeseong, et al.
Published: (2026)
Evaluation of computational and energy performance in matrix multiplication algorithms on CPU and GPU using MKL, cuBLAS and SYCL
by: Torres, L. A., et al.
Published: (2024)
by: Torres, L. A., et al.
Published: (2024)
Data-aware Dynamic Execution of Irregular Workloads on Heterogeneous Systems
by: Bai, Zhenyu, et al.
Published: (2025)
by: Bai, Zhenyu, et al.
Published: (2025)
Characterizing and Optimizing LLM Inference Workloads on CPU-GPU Coupled Architectures
by: Vellaisamy, Prabhu, et al.
Published: (2025)
by: Vellaisamy, Prabhu, et al.
Published: (2025)
MoE-Hub: Taming Software Complexity for Seamless MoE Overlap with Hardware-Accelerated Communication on Multi-GPU Systems
by: Zhou, Zhuoshan, et al.
Published: (2026)
by: Zhou, Zhuoshan, et al.
Published: (2026)
GigaAPI for GPU Parallelization
by: Suvarna, M., et al.
Published: (2025)
by: Suvarna, M., et al.
Published: (2025)
Mooncake: A KVCache-centric Disaggregated Architecture for LLM Serving
by: Qin, Ruoyu, et al.
Published: (2024)
by: Qin, Ruoyu, et al.
Published: (2024)
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)
Context-aware Simopt-Power: Using structural data with simulation metadata to optimise FPGA designs
by: Wadhwa, Eashan, et al.
Published: (2026)
by: Wadhwa, Eashan, et al.
Published: (2026)
Parallelizing a modern GPU simulator
by: Huerta, Rodrigo, et al.
Published: (2025)
by: Huerta, Rodrigo, et al.
Published: (2025)
FengHuang: Next-Generation Memory Orchestration for AI Inferencing
by: Li, Jiamin, et al.
Published: (2025)
by: Li, Jiamin, et al.
Published: (2025)
PRESERVE: Prefetching Model Weights and KV-Cache in Distributed LLM Serving
by: Yüzügüler, Ahmet Caner, et al.
Published: (2025)
by: Yüzügüler, Ahmet Caner, et al.
Published: (2025)
Infinite-LLM: Efficient LLM Service for Long Context with DistAttention and Distributed KVCache
by: Lin, Bin, et al.
Published: (2024)
by: Lin, Bin, et al.
Published: (2024)
Similar Items
-
Leveraging Core and Uncore Frequency Scaling for Power-Efficient Serverless Workflows
by: Tzenetopoulos, Achilleas, et al.
Published: (2024) -
Multi-Partner Project: Multi-GPU Performance Portability Analysis for CFD Simulations at Scale
by: Eleftherakis, Panagiotis-Eleftherios, et al.
Published: (2026) -
SynergAI: Edge-to-Cloud Synergy for Architecture-Driven High-Performance Orchestration for AI Inference
by: Stathopoulou, Foteini, et al.
Published: (2025) -
Understanding Bottlenecks for Efficiently Serving LLM Inference With KV Offloading
by: Meng, William, et al.
Published: (2025) -
Characterizing CPU-Induced Slowdowns in Multi-GPU LLM Inference
by: Chung, Euijun, et al.
Published: (2026)