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A Survey of Advancements in Scheduling Techniques for Efficient Deep Learning Computations on GPUs

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/cpe.7108openalex-snapshot
KubeSC‐RTP: Smart scheduler for Kubernetes platform on CPU‐GPU heterogeneous systems
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Mixtran: an efficient and fair scheduler for mixed deep learning workloads in heterogeneous GPU environments
inferredcites →https://doi.org/10.1007/s11227-019-03135-7openalex-snapshot
A memory scheduling strategy for eliminating memory access interference in heterogeneous system
inferredcites →https://doi.org/10.1007/s11227-020-03257-3openalex-snapshot
Efficiency and productivity for decision making on low-power heterogeneous CPU+GPU SoCs
inferredcites →https://doi.org/10.1007/s11227-023-05700-7openalex-snapshot
TB-TBP: a task-based adaptive routing algorithm for network-on-chip in heterogenous CPU-GPU architectures
inferredcites →https://doi.org/10.1007/s11831-024-10069-8openalex-snapshot
An Analytical Review and Performance Measures of State-of-Art Scheduling Algorithms in Heterogenous Computing Enviornment
inferredcites →https://doi.org/10.1007/s42514-023-00169-5openalex-snapshot
FILL: a heterogeneous resource scheduling system addressing the low throughput problem in GROMACS
inferredcites →https://doi.org/10.1016/j.future.2023.05.032openalex-snapshot
HeterPS: Distributed deep learning with reinforcement learning based scheduling in heterogeneous environments
inferredcites →https://doi.org/10.1016/j.future.2023.10.022openalex-snapshot
GPARS: Graph predictive algorithm for efficient resource scheduling in heterogeneous GPU clusters
inferredcites →https://doi.org/10.1016/j.future.2024.01.023openalex-snapshot
HSAS: Efficient task scheduling for large scale heterogeneous systolic array accelerator cluster
inferredcites →https://doi.org/10.1016/j.future.2024.04.049openalex-snapshot
CPU–GPU heterogeneous code acceleration of a finite volume Computational Fluid Dynamics solver
inferredcites →https://doi.org/10.1016/j.sysarc.2020.101936openalex-snapshot
Efficient algorithms for task mapping on heterogeneous CPU/GPU platforms for fast completion time
inferredcites →https://doi.org/10.1109/access.2020.2982956openalex-snapshot
CPU–GPU Utilization Aware Energy-Efficient Scheduling Algorithm on Heterogeneous Computing Systems
inferredcites →https://doi.org/10.1109/access.2023.3281839openalex-snapshot
TAS: A Temperature-Aware Scheduling for Heterogeneous Computing
inferredcites →https://doi.org/10.1109/access.2024.3403418openalex-snapshot
Energy-Aware Successor Tree Consistent EDF Scheduling for PCTGs on MPSoCs
inferredcites →https://doi.org/10.1109/ccgrid54584.2022.00079openalex-snapshot
SchedTune: A Heterogeneity-Aware GPU Scheduler for Deep Learning
inferredcites →https://doi.org/10.1109/ccgrid59990.2024.00071openalex-snapshot
HeROcache: Storage-Aware Scheduling in Heterogeneous Serverless Edge – The Case of IDS
inferredcites →https://doi.org/10.1109/cgo57630.2024.10444869openalex-snapshot
Instruction Scheduling for the GPU on the GPU
inferredcites →https://doi.org/10.1109/cluster48925.2021.00031openalex-snapshot
READYS: A Reinforcement Learning Based Strategy for Heterogeneous Dynamic Scheduling
inferredcites →https://doi.org/10.1109/csce60160.2023.00129openalex-snapshot
Comparative Analysis of Power Efficiency in Heterogeneous CPU -GPU Processors
inferredcites →https://doi.org/10.1109/csci58124.2022.00072openalex-snapshot
Noise Suppression Using Gated Recurrent Units and Nearest Neighbor Filtering
inferredcites →https://doi.org/10.1109/eptc59621.2023.10457590openalex-snapshot
Power Estimation and Comparison of Heterogenous CPU-GPU Processors
inferredcites →https://doi.org/10.1109/icasi60819.2024.10547947openalex-snapshot
A Load Balance Scheduling Approach for Generative AI on Cloud-Native Environments with Heterogeneous Resources
inferredcites →https://doi.org/10.1109/ifetc.2018.8584033openalex-snapshot
Comparative analysis of 1-bit memory cell in CMOS and QCA technology
inferredcites →https://doi.org/10.1109/ipdpsw63119.2024.00014openalex-snapshot
Dynamic Tasks Scheduling with Multiple Priorities on Heterogeneous Computing Systems
inferredcites →https://doi.org/10.1109/isvlsi49217.2020.00063openalex-snapshot
Exploration on Task Scheduling Strategy for CPU-GPU Heterogeneous Computing System
inferredcites →https://doi.org/10.1109/jiot.2023.3332748openalex-snapshot
CPU–GPU Heterogeneous Computation Offloading and Resource Allocation Scheme for Industrial Internet of Things
inferredcites →https://doi.org/10.1109/tc.2023.3242200openalex-snapshot
Hydra: Deadline-Aware and Efficiency-Oriented Scheduling for Deep Learning Jobs on Heterogeneous GPUs
inferredcites →https://doi.org/10.1109/tcad.2020.3013047openalex-snapshot
Enabling Latency-Aware Data Initialization for Integrated CPU/GPU Heterogeneous Platform
inferredcites →https://doi.org/10.1109/tpds.2019.2942909openalex-snapshot
Online Scheduling of Task Graphs on Heterogeneous Platforms
inferredcites →https://doi.org/10.1109/tpds.2023.3235439openalex-snapshot
RTGPU: Real-Time GPU Scheduling of Hard Deadline Parallel Tasks With Fine-Grain Utilization
inferredcites →https://doi.org/10.1109/tpds.2023.3288702openalex-snapshot
Energy-Minimized Scheduling of Intermittent Real-Time Tasks in a CPU-GPU Cloud Computing Platform
inferredcites →https://doi.org/10.1145/2788396openalex-snapshot
A Survey of CPU-GPU Heterogeneous Computing Techniques
inferredcites →https://doi.org/10.1145/3412841.3441930openalex-snapshot
Energy-aware scheduling of multi-version tasks on heterogeneous real-time systems
inferredcites →https://doi.org/10.1145/3460352openalex-snapshot
SLO-Aware Inference Scheduler for Heterogeneous Processors in Edge Platforms
inferredcites →https://doi.org/10.1145/3638757openalex-snapshot
Deep Learning Workload Scheduling in GPU Datacenters: A Survey
inferredcites →https://doi.org/10.1145/3650200.3656625openalex-snapshot
Scheduling for Cyber-Physical Systems with Heterogeneous Processing Units under Real-World Constraints
inferredcites →https://doi.org/10.1145/3656401openalex-snapshot
Allo: A Programming Model for Composable Accelerator Design
inferredcites →https://doi.org/10.1145/3669940.3707258openalex-snapshot
SuperNoVA: Algorithm-Hardware Co-Design for Resource-Aware SLAM
inferredcites →https://doi.org/10.1145/3711819openalex-snapshot
gCom: Fine-grained Compressors in Graphics Memory of Mobile GPU
inferredcites →https://doi.org/10.14569/ijacsa.2025.0160206openalex-snapshot
RSCHED: An effective heterogeneous resources management for simultaneous execution of task-based applications
inferredcites →https://doi.org/10.32604/cmc.2022.027147openalex-snapshot
Resource Scheduling Strategy for Performance Optimization Based on Heterogeneous CPU-GPU Platform
inferredcites →https://doi.org/10.3390/app14114697openalex-snapshot
Enhanced Scheduling of AI Applications in Multi-Tenant Cloud Using Genetic Optimizations
inferredcites →https://doi.org/10.3390/computation11050097openalex-snapshot
A Flexible and General-Purpose Platform for Heterogeneous Computing
inferredcites →https://doi.org/10.3390/computers13070174openalex-snapshot
A Comprehensive Review of Processing-in-Memory Architectures for Deep Neural Networks
inferredcites →https://doi.org/10.3390/electronics13152963openalex-snapshot
A Survey on Neuromorphic Architectures for Running Artificial Intelligence Algorithms
inferredcites →https://doi.org/10.3390/fi14050146openalex-snapshot
A Survey on Memory Subsystems for Deep Neural Network Accelerators
inferredcites →https://doi.org/10.3390/fi16030072openalex-snapshot
Analyzing GPU Performance in Virtualized Environments: A Case Study

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Efficient High-Performance Computing Strategies for the Legendre Pairs Search
inferred← citeshttps://doi.org/10.1016/j.asoc.2026.116616openalex-snapshot
GPU-parallelized evolutionary algorithm for short-term optimization model of a wind-solar-pumped storage system
inferred← citeshttps://doi.org/10.1016/j.future.2026.108860openalex-snapshot
Memory-aware scheduling of AI workloads on a Messaging-based vector processing unit
inferred← citeshttps://doi.org/10.1109/conit69683.2026.11620796openalex-snapshot
Performance Evaluation of Disk Scheduling Algorithms for Efficient Operating System Resource Management
inferred← citeshttps://doi.org/10.1109/discover66922.2025.11258953openalex-snapshot
CPU-GPU Cooperative Execution of Data-Parallel CUDA Kernels
inferred← citeshttps://doi.org/10.1109/icccbda69573.2026.11676564openalex-snapshot
Optimizing Resource Scheduling for Intelligent Cockpit SoCs Using Deep Reinforcement Learning
inferred← citeshttps://doi.org/10.1109/icec2nt65402.2025.11379985openalex-snapshot
Evaluating Very Large-Scale Integration (VLSI) for Deep Learning: Embedded Systems for Processing Images and Videos in Real Time
inferred← citeshttps://doi.org/10.1109/ismsit67332.2025.11267921openalex-snapshot
AI-First Operating systems: Rethinking OS Architectures for Machine Learning Workloads
inferred← citeshttps://doi.org/10.1109/isqed69900.2026.11534703openalex-snapshot
A Low-Power Analog Spiking Neural Network with On-Chip Learning
inferred← citeshttps://doi.org/10.1145/3837053.3837336openalex-snapshot
LLM KV-cache: To Restore or To Recompute, That Is the Question
inferred← citeshttps://doi.org/10.3390/app16083725openalex-snapshot
Entropy-Guided Hierarchical Scheduling for Elastic Distributed Deep Learning
inferred← citeshttps://doi.org/10.3390/electronics14112229openalex-snapshot
Review of Intelligent Motor Controller Parameter Self-Tuning Technology
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