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Elastic Multi-resource Fairness: Balancing Fairness and Efficiency in Coupled CPU-GPU Architectures
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1016/c2013-0-19038-1openalex-snapshot
Computational Fluid Dynamics: Principles and Applications
inferredcites →https://doi.org/10.1109/cloudcom.2014.120openalex-snapshot
Towards Economic Fairness for Big Data Processing in Pay-as-You-Go Cloud Computing
inferredcites →https://doi.org/10.1109/iccd.2014.6974717openalex-snapshot
Fair share: Allocation of GPU resources for both performance and fairness
inferredcites →https://doi.org/10.1109/infocom.2014.6847983openalex-snapshot
Dominant resource fairness in cloud computing systems with heterogeneous servers
inferredcites →https://doi.org/10.1109/isscc.2011.5746311openalex-snapshot
A fully integrated multi-CPU, GPU and memory controller 32nm processor
inferredcites →https://doi.org/10.1109/isscc.2012.6176876openalex-snapshot
A 22nm IA multi-CPU and GPU System-on-Chip
inferredcites →https://doi.org/10.1109/mascots.2015.27openalex-snapshot
To Co-run, or Not to Co-run: A Performance Study on Integrated Architectures
inferredcites →https://doi.org/10.1109/sc.2012.16openalex-snapshot
Accelerating MapReduce on a coupled CPU-GPU architecture
inferredcites →https://doi.org/10.1109/sc.2014.84openalex-snapshot
Reciprocal Resource Fairness: Towards Cooperative Multiple-Resource Fair Sharing in IaaS Clouds
inferredcites →https://doi.org/10.1109/tnet.2012.2233213openalex-snapshot
Multiresource Allocation: Fairness–Efficiency Tradeoffs in a Unifying Framework
inferredcites →https://doi.org/10.1109/tpds.2013.257openalex-snapshot
Kernelet: High-Throughput GPU Kernel Executions with Dynamic Slicing and Scheduling
inferredcites →https://doi.org/10.1109/tsc.2016.2531698openalex-snapshot
Fair Resource Allocation for Data-Intensive Computing in the Cloud
inferredcites →https://doi.org/10.1145/1996130.1996160openalex-snapshot
Supporting GPU sharing in cloud environments with a transparent runtime consolidation framework
inferredcites →https://doi.org/10.1145/2523616.2523637openalex-snapshot
Hierarchical scheduling for diverse datacenter workloads
inferredcites →https://doi.org/10.1145/2588768.2576780openalex-snapshot
Application-aware Memory System for Fair and Efficient Execution of Concurrent GPGPU Applications
inferredcites →https://doi.org/10.1145/2788396openalex-snapshot
A Survey of CPU-GPU Heterogeneous Computing Techniques
inferredcites →https://doi.org/10.1145/75246.75248openalex-snapshot
Analysis and simulation of a fair queueing algorithm
inferredcites →https://doi.org/10.14778/2536206.2536216openalex-snapshot
Revisiting co-processing for hash joins on the coupled CPU-GPU architecture
inferredcites →https://doi.org/10.14778/2735496.2735497openalex-snapshot
In-cache query co-processing on coupled CPU-GPU architectures
inferredcites →https://doi.org/10.1613/jair.4405openalex-snapshot
No Agent Left Behind: Dynamic Fair Division of Multiple Resources
inferredcites →https://doi.org/10.5555/1267638.1267639openalex-snapshot
Lottery scheduling: flexible proportional-share resource management
inferredcites →https://doi.org/10.5555/1972457.1972488openalex-snapshot
Mesos: a platform for fine-grained resource sharing in the data center
inferredcites →https://doi.org/10.5555/1972457.1972490openalex-snapshot
Dominant resource fairness: fair allocation of multiple resource types
inferredcites →https://doi.org/10.5555/2591305.2591328openalex-snapshot
Balancing fairness and efficiency in tiered storage systems with bottleneck-aware allocation
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/dac.4618openalex-snapshot
Achieving balance between economic efficiency and user fairness in traffic rate management
inferred← citeshttps://doi.org/10.1007/978-3-030-03596-9_60openalex-snapshot
QKnober: A Knob-Based Fairness-Efficiency Scheduler for Cloud Computing with QoS Guarantees
inferred← citeshttps://doi.org/10.1007/978-3-031-22677-9_18openalex-snapshot
Long-Term Fairness Scheduler for Pay-as-You-Use Cache Sharing Systems
inferred← citeshttps://doi.org/10.1007/978-3-031-22832-2_10openalex-snapshot
Fair and Efficient Multi-resource Allocation for Cloud Computing
inferred← citeshttps://doi.org/10.1007/s10766-018-0617-3openalex-snapshot
ASW: Accelerating Smith–Waterman Algorithm on Coupled CPU–GPU Architecture
inferred← citeshttps://doi.org/10.1007/s11227-021-03746-zopenalex-snapshot
HGP4CNN: an efficient parallelization framework for training convolutional neural networks on modern GPUs
inferred← citeshttps://doi.org/10.1007/s42514-019-00008-6openalex-snapshot
Performance evaluation and analysis of sparse matrix and graph kernels on heterogeneous processors
inferred← citeshttps://doi.org/10.1109/access.2023.3272732openalex-snapshot
Evolutionary Game Theory-Based Optimal Scheduling Strategy for Heterogeneous Computing
inferred← citeshttps://doi.org/10.1109/cluster48925.2021.00020openalex-snapshot
FineQuery: Fine-Grained Query Processing on CPU-GPU Integrated Architectures
inferred← citeshttps://doi.org/10.1109/fskd.2017.8393407openalex-snapshot
Compromising fairness for enterprise resource efficiency improvement
inferred← citeshttps://doi.org/10.1109/tcc.2020.3021084openalex-snapshot
Fairness-Efficiency Scheduling for Cloud Computing With Soft Fairness Guarantees
inferred← citeshttps://doi.org/10.1109/tccn.2025.3643988openalex-snapshot
Networked Edge Resource Orchestration for Mobile AI-Generated Content Services
inferred← citeshttps://doi.org/10.1109/tpds.2017.2788880openalex-snapshot
Long-Term Multi-Resource Fairness for Pay-as-you Use Computing Systems
inferred← citeshttps://doi.org/10.1109/tpds.2022.3177811openalex-snapshot
Exploring Query Processing on CPU-GPU Integrated Edge Device
inferred← citeshttps://doi.org/10.1109/tsc.2023.3335048openalex-snapshot
Fairness-Efficiency Scheduling for Pay-as-You-Go Shared Caching Systems With Long-Term Fairness Guarantees
inferred← citeshttps://doi.org/10.1287/moor.2024.0714openalex-snapshot
Fair and Efficient Multi-resource Allocation for Cloud Computing: Beyond Dominant Resource Fairness
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