Scheduling Techniques of AI Models on Modern Heterogeneous Edge GPU -- A Critical Review
Fuente:
arXiv
Saved in:
| Main Authors: | Majeed, Ashiyana Abdul, Meribout, Mahmoud |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Reliable, Time-Predictable Heterogeneous SoC for AI-Enhanced Mixed-Criticality Edge Applications
by: Garofalo, Angelo, et al.
Published: (2025)
by: Garofalo, Angelo, et al.
Published: (2025)
A Survey of Real-time Scheduling on Accelerator-based Heterogeneous Architecture for Time Critical Applications
by: Zou, An, et al.
Published: (2025)
by: Zou, An, et al.
Published: (2025)
Microbenchmark-Driven Analytical Performance Modeling Across Modern GPU Architectures
by: Jarmusch, Aaron, et al.
Published: (2026)
by: Jarmusch, Aaron, et al.
Published: (2026)
SLIM: A Heterogeneous Accelerator for Edge Inference of Sparse Large Language Model via Adaptive Thresholding
by: Xu, Weihong, et al.
Published: (2025)
by: Xu, Weihong, et al.
Published: (2025)
Edge GPU Aware Multiple AI Model Pipeline for Accelerated MRI Reconstruction and Analysis
by: Majeed, Ashiyana Abdul, et al.
Published: (2025)
by: Majeed, Ashiyana Abdul, et al.
Published: (2025)
TT-Edge: A Hardware-Software Co-Design for Energy-Efficient Tensor-Train Decomposition on Edge AI
by: Kwak, Hyunseok, et al.
Published: (2025)
by: Kwak, Hyunseok, et al.
Published: (2025)
A Modern Primer on Processing in Memory
by: Mutlu, Onur, et al.
Published: (2020)
by: Mutlu, Onur, et al.
Published: (2020)
Sparse MTTKRP Acceleration for Tensor Decomposition on GPU
by: Wijeratne, Sasindu, et al.
Published: (2024)
by: Wijeratne, Sasindu, et al.
Published: (2024)
A Heterogeneous Chiplet Architecture for Accelerating End-to-End Transformer Models
by: Sharma, Harsh, et al.
Published: (2023)
by: Sharma, Harsh, et al.
Published: (2023)
HetGPU: The pursuit of making binary compatibility towards GPUs
by: Yang, Yiwei, et al.
Published: (2025)
by: Yang, Yiwei, 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)
Optimizing ML Concurrent Computation and Communication with GPU DMA Engines
by: Agrawal, Anirudha, et al.
Published: (2024)
by: Agrawal, Anirudha, et al.
Published: (2024)
Application Experiences on a GPU-Accelerated Arm-based HPC Testbed
by: Elwasif, Wael, et al.
Published: (2022)
by: Elwasif, Wael, et al.
Published: (2022)
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)
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)
FinGraV: Methodology for Fine-Grain GPU Power Visibility and Insights
by: Singhania, Varsha, et al.
Published: (2024)
by: Singhania, Varsha, et al.
Published: (2024)
Optimizing Task Scheduling in Fog Computing with Deadline Awareness
by: Sirjani, Mohammad Sadegh, et al.
Published: (2025)
by: Sirjani, Mohammad Sadegh, et al.
Published: (2025)
Enhancing Regression Models for Complex Systems Using Evolutionary Techniques for Feature Engineering
by: Arroba, Patricia, et al.
Published: (2024)
by: Arroba, Patricia, et al.
Published: (2024)
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)
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)
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)
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)
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)
DeFiNES: Enabling Fast Exploration of the Depth-first Scheduling Space for DNN Accelerators through Analytical Modeling
by: Mei, Linyan, et al.
Published: (2022)
by: Mei, Linyan, et al.
Published: (2022)
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)
HARP: A Taxonomy for Heterogeneous and Hierarchical Processors for Mixed-reuse Workloads
by: Garg, Raveesh, et al.
Published: (2025)
by: Garg, Raveesh, et al.
Published: (2025)
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)
Optimizing Offload Performance in Heterogeneous MPSoCs
by: Colagrande, Luca, et al.
Published: (2024)
by: Colagrande, Luca, et al.
Published: (2024)
CELLO: Co-designing Schedule and Hybrid Implicit/Explicit Buffer for Complex Tensor Reuse
by: Garg, Raveesh, et al.
Published: (2023)
by: Garg, Raveesh, et al.
Published: (2023)
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)
Evaluating Rapid Makespan Predictions for Heterogeneous Systems with Programmable Logic
by: Wilhelm, Martin, et al.
Published: (2025)
by: Wilhelm, Martin, et al.
Published: (2025)
Data-aware Dynamic Execution of Irregular Workloads on Heterogeneous Systems
by: Bai, Zhenyu, et al.
Published: (2025)
by: Bai, Zhenyu, et al.
Published: (2025)
HgPCN: A Heterogeneous Architecture for E2E Embedded Point Cloud Inference
by: Gao, Yiming, et al.
Published: (2025)
by: Gao, Yiming, et al.
Published: (2025)
GigaAPI for GPU Parallelization
by: Suvarna, M., et al.
Published: (2025)
by: Suvarna, M., et al.
Published: (2025)
EPOCH: Enabling Preemption Operation for Context Saving in Heterogeneous FPGA Systems
by: Malik, Arsalan Ali, et al.
Published: (2025)
by: Malik, Arsalan Ali, et al.
Published: (2025)
Knowledge-Guided Attention-Inspired Learning for Task Offloading in Vehicle Edge Computing
by: Ma, Ke, et al.
Published: (2025)
by: Ma, Ke, et al.
Published: (2025)
Survey of Disaggregated Memory: Cross-layer Technique Insights for Next-Generation Datacenters
by: Wang, Jing, et al.
Published: (2025)
by: Wang, Jing, et al.
Published: (2025)
Parallelizing a modern GPU simulator
by: Huerta, Rodrigo, et al.
Published: (2025)
by: Huerta, Rodrigo, et al.
Published: (2025)
XDMA: A Distributed, Extensible DMA Architecture for Layout-Flexible Data Movements in Heterogeneous Multi-Accelerator SoCs
by: Kong, Fanchen, et al.
Published: (2025)
by: Kong, Fanchen, et al.
Published: (2025)
Similar Items
-
A Reliable, Time-Predictable Heterogeneous SoC for AI-Enhanced Mixed-Criticality Edge Applications
by: Garofalo, Angelo, et al.
Published: (2025) -
A Survey of Real-time Scheduling on Accelerator-based Heterogeneous Architecture for Time Critical Applications
by: Zou, An, et al.
Published: (2025) -
Microbenchmark-Driven Analytical Performance Modeling Across Modern GPU Architectures
by: Jarmusch, Aaron, et al.
Published: (2026) -
SLIM: A Heterogeneous Accelerator for Edge Inference of Sparse Large Language Model via Adaptive Thresholding
by: Xu, Weihong, et al.
Published: (2025) -
Edge GPU Aware Multiple AI Model Pipeline for Accelerated MRI Reconstruction and Analysis
by: Majeed, Ashiyana Abdul, et al.
Published: (2025)