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Gang scheduling with memory considerations

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What this work says

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

inferredcites →https://doi.org/10.1006/jpdc.1996.0064openalex-snapshot
Evaluation of Design Choices for Gang Scheduling Using Distributed Hierarchical Control
inferredcites →https://doi.org/10.1007/3-540-60153-8_20openalex-snapshot
Parallel job scheduling: Issues and approaches
inferredcites →https://doi.org/10.1007/3-540-60153-8_21openalex-snapshot
Scheduling on the Tera MTA
inferredcites →https://doi.org/10.1007/3-540-63574-2_16openalex-snapshot
A historical application profiler for use by parallel schedulers
inferredcites →https://doi.org/10.1007/bf00128100openalex-snapshot
Paging tradeoffs in distributed-shared-memory multiprocessors
inferredcites →https://doi.org/10.1016/0743-7315(92)90014-eopenalex-snapshot
Gang scheduling performance benefits for fine-grain synchronization
inferredcites →https://doi.org/10.1016/s0167-8191(00)00101-0openalex-snapshot
Using multicast to pre-load jobs on the ParPar cluster
inferredcites →https://doi.org/10.1109/12.30852openalex-snapshot
On the fractal dimension of computer programs and its application to the prediction of the cache miss ratio
inferredcites →https://doi.org/10.1109/2.53356openalex-snapshot
Distributed hierarchical control for parallel processing
inferredcites →https://doi.org/10.1109/4434.588295openalex-snapshot
Fast messages: efficient, portable communication for workstation clusters and MPPs
inferredcites →https://doi.org/10.1109/spdp.1991.218246openalex-snapshot
Multiprogramming on multiprocessors
inferredcites →https://doi.org/10.1145/107971.107985openalex-snapshot
The impact of operating system scheduling policies and synchronization methods of performance of parallel applications
inferredcites →https://doi.org/10.1145/98457.98761openalex-snapshot
The performance of multiprogrammed multiprocessor scheduling algorithms

What points at this work

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

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CCHybrid: CPU co‐scheduling in virtualization environment
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Loosely coordinated coscheduling in the context of other approaches for dynamic job scheduling: a survey
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Scheduling of frequently communicating tasks
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Using Moldability to Improve the Performance of Supercomputer Jobs
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Parallel Job Scheduling under Dynamic Workloads
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Parallel Job Scheduling — A Status Report
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LOMARC — Lookahead Matchmaking for Multi-resource Coscheduling
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Reconfigurable Gang Scheduling Algorithm
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Pitfalls in Parallel Job Scheduling Evaluation
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AnthillSched: A Scheduling Strategy for Irregular and Iterative I/O-Intensive Parallel Jobs
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Preemption Based Backfill
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Minimizing Paging Tradeoffs Applying Coscheduling Techniques in a Linux Cluster
inferred← citeshttps://doi.org/10.1007/3-540-44520-x_34openalex-snapshot
Memory Management Techniques for Gang Scheduling
inferred← citeshttps://doi.org/10.1007/3-540-45540-x_4openalex-snapshot
Coscheduling under Memory Constraints in a NOW Environment
inferred← citeshttps://doi.org/10.1007/3-540-45540-x_7openalex-snapshot
On the Development of an Efficient Coscheduling System
inferred← citeshttps://doi.org/10.1007/3-540-45540-x_8openalex-snapshot
Effects of Memory Performance on Parallel Job Scheduling
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Evaluating the Potential of Coscheduling on High-Performance Computing Systems
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Symbiotic Space-Sharing on SDSC’s DataStar System
inferred← citeshttps://doi.org/10.1007/978-3-642-22714-1_56openalex-snapshot
Communication Aware Co-scheduling for Parallel Job Scheduling in Cluster Computing
inferred← citeshttps://doi.org/10.1007/978-3-642-31686-9_54openalex-snapshot
A Fair and Efficient Gang Scheduling Algorithm for Multicore Processors
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Recent Developments in Resource Management in Cloud Computing and Large Computing Clusters
inferred← citeshttps://doi.org/10.1007/s10723-007-9075-7openalex-snapshot
Runtime and Programming Support for Memory Adaptation in Scientific Applications via Local Disk and Remote Memory
inferred← citeshttps://doi.org/10.1007/s10766-014-0338-1openalex-snapshot
List Scheduling in Embedded Systems Under Memory Constraints
inferred← citeshttps://doi.org/10.1007/s11227-006-0018-zopenalex-snapshot
A comprehensive performance and energy consumption analysis of scheduling alternatives in clusters
inferred← citeshttps://doi.org/10.1007/s11390-007-9082-yopenalex-snapshot
Cooperating CoScheduling: A Coscheduling Proposal Aimed at Non-Dedicated Heterogeneous NOWs
inferred← citeshttps://doi.org/10.1016/j.compeleceng.2013.01.008openalex-snapshot
Static and dynamic job scheduling with communication aware policy in cluster computing
inferred← citeshttps://doi.org/10.1016/j.future.2011.02.010openalex-snapshot
Gang scheduling in multi-core clusters implementing migrations
inferred← citeshttps://doi.org/10.1016/s0167-739x(03)00031-1openalex-snapshot
Adaptive scheduling under memory constraints on non-dedicated computational farms
inferred← citeshttps://doi.org/10.1093/comjnl/bxl001openalex-snapshot
Medium-Term Scheduler as a Solution for the Thrashing Effect
inferred← citeshttps://doi.org/10.1109/71.993204openalex-snapshot
Dynamic cluster resource allocations for jobs with known and unknown memory demands
inferred← citeshttps://doi.org/10.1109/ccgrid.2002.1017108openalex-snapshot
Adaptive Scheduling under Memory Pressure on Multiprogrammed Clusters
inferred← citeshttps://doi.org/10.1109/ccgrid.2009.23openalex-snapshot
Resource Allocation Using Virtual Clusters
inferred← citeshttps://doi.org/10.1109/cfec.2018.8358725openalex-snapshot
Synchronous Scheduling Algorithms for Edge Coordinated Internet of Things
inferred← citeshttps://doi.org/10.1109/clustr.2004.1392601openalex-snapshot
A comparison of local and gang scheduling on a Beowulf cluster
inferred← citeshttps://doi.org/10.1109/clustr.2008.4663750openalex-snapshot
Reliable adaptable Network RAM
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A new memory monitoring scheme for memory-aware scheduling and partitioning
inferred← citeshttps://doi.org/10.1109/hpcc-smartcity-dss.2016.0051openalex-snapshot
Time-Sharing Redux for Large-Scale HPC Systems
inferred← citeshttps://doi.org/10.1109/icdcs.2002.1022240openalex-snapshot
Adaptive and virtual reconfigurations for effective dynamic job scheduling in cluster systems
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Dynamic load sharing with unknown memory demands in clusters
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An integrated resource allocation algorithm for CPU intensive and I/O intensive jobs in multi-core cluster
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Parallel network RAM: effectively utilizing global cluster memory for large data-intensive parallel programs
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Checkpointing vs. Migration for Post-Petascale Supercomputers
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GEM: A Framework for Developing Shared-Memory Parallel Genomic Applications on Memory Constrained Architectures
inferred← citeshttps://doi.org/10.1109/ipdps.2001.925002openalex-snapshot
Gang scheduling with a queue for large jobs
inferred← citeshttps://doi.org/10.1109/ipdps.2002.1015481openalex-snapshot
Adaptive scheduling under memory pressure on multiprogrammed SMPs
inferred← citeshttps://doi.org/10.1109/ipdps.2004.1302941openalex-snapshot
Adaptive memory paging for efficient gang scheduling of parallel applications
inferred← citeshttps://doi.org/10.1109/ipdps.2004.1303002openalex-snapshot
Adapting to memory pressure from within scientific applications on multiprogrammed COWs
inferred← citeshttps://doi.org/10.1109/ipdps.2006.1639324openalex-snapshot
A distributed paging RAM grid system for wide-area memory sharing
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Dynamic fractional resource scheduling for HPC workloads
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Virtual Machine Resource Allocation for Service Hosting on Heterogeneous Distributed Platforms
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Dynamic Fractional Resource Scheduling for cluster platforms
inferred← citeshttps://doi.org/10.1109/jiot.2019.2930367openalex-snapshot
Multipoint Synchronization for Fog-Controlled Internet of Things
inferred← citeshttps://doi.org/10.1109/sbac-pad.2013.22openalex-snapshot
List Scheduling in Embedded Systems under Memory Constraints
inferred← citeshttps://doi.org/10.1109/sc.2004.20openalex-snapshot
Coscheduling in Clusters: Is It a Viable Alternative?
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Model Driven Provisioning in Multi-tenant Clouds
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Hybrid CPU Management for Adapting to the Diversity of Virtual Machines
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Adaptive memory allocations in clusters to handle unexpectedly large data-intensive jobs
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Effectively utilizing global cluster memory for large data-intensive parallel programs
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LOMARC: Lookahead Matchmaking for Multiresource Coscheduling on Hyperthreaded CPUs
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Dynamic Fractional Resource Scheduling versus Batch Scheduling
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An Intelligent Cloud Workflow Scheduling System With Time Estimation and Adaptive Ant Colony Optimization
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User-guided symbiotic space-sharing of real workloads
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The hybrid scheduling framework for virtual machine systems
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Data-driven batch scheduling
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Dynamic cluster resource allocations for jobs with known memory demands
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Practical Resource Management in Power-Constrained, High Performance Computing
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Uma abordagem para a avaliação do escalonamento de processos em sistemas distribuídos baseada em monitoração
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Improving Per-Node Computing Efficiency by an Adaptive Lock-Free Scheduling Model
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On the design and implementation of a cache-aware soft real-time scheduler for multicore platforms
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Workload modeling for parallel computers
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A flexible simulation framework for processor scheduling algorithms in multicore systems.
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Task scheduling in genetic sequencing tool
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Resource Allocation using Virtual Clusters
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Dynamic Fractional Resource Scheduling vs. Batch Scheduling
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Multi-Point Synchronization for Fog-Controlled Internet of Things
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Mapeamento de Programas I3 para Aplicações Anthill Paralelas de Fluxos de Dados baseadas em Filtros
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Advantages, Challenges and Optimizations of Virtual Machine Scheduling in Cloud Computing Environments
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