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Exploiting Geometric Partitioning in Task Mapping for Parallel Computers
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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/jcph.1995.1039openalex-snapshot
Fast Parallel Algorithms for Short-Range Molecular Dynamics
inferredcites →https://doi.org/10.1007/3-540-61142-8_588openalex-snapshot
Scotch: A software package for static mapping by dual recursive bipartitioning of process and architecture graphs
inferredcites →https://doi.org/10.1007/978-3-642-32820-6_82openalex-snapshot
Topology-Aware Mappings for Large-Scale Eigenvalue Problems
inferredcites →https://doi.org/10.1016/0305-0548(94)p2435-7openalex-snapshot
Genetic algorithm based heuristics for the mapping problem
inferredcites →https://doi.org/10.1016/j.procs.2012.04.020openalex-snapshot
An Evaluation of Molecular Dynamics Performance on the Hybrid Cray XK6 Supercomputer
inferredcites →https://doi.org/10.1016/s0167-739x(00)00107-2openalex-snapshot
Multilevel mesh partitioning for heterogeneous communication networks
inferredcites →https://doi.org/10.1109/12.76410openalex-snapshot
Heuristic technique for processor and link assignment in multicomputers
inferredcites →https://doi.org/10.1109/hipc.2010.5713190openalex-snapshot
Automated mapping of regular communication graphs on mesh interconnects
inferredcites →https://doi.org/10.1109/ipdps.2011.340openalex-snapshot
Hierarchical Mapping for HPC Applications
inferredcites →https://doi.org/10.1109/sc.2004.63openalex-snapshot
Unlocking the Performance of the BlueGene/L Supercomputer
inferredcites →https://doi.org/10.1109/sc.2006.63openalex-snapshot
Topology Mapping for Blue Gene/L Supercomputer
inferredcites →https://doi.org/10.1109/tc.1987.1676925openalex-snapshot
A Mapping Strategy for Parallel Processing
inferredcites →https://doi.org/10.1109/tc.1987.1676942openalex-snapshot
A Partitioning Strategy for Nonuniform Problems on Multiprocessors
inferredcites →https://doi.org/10.1142/s0129626413400100openalex-snapshot
REDUCING THE BULK IN THE BULK SYNCHRONOUS PARALLEL MODEL
inferredcites →https://doi.org/10.1145/1188455.1188502openalex-snapshot
Gordon Bell finalists I---Large-scale electronic structure calculations of high-Z metals on the BlueGene/L platform
inferredcites →https://doi.org/10.1145/1188455.1188576openalex-snapshot
Blue Gene system software---Topology mapping for Blue Gene/L supercomputer
inferredcites →https://doi.org/10.1145/1542275.1542295openalex-snapshot
Dynamic topology aware load balancing algorithms for molecular dynamics applications
inferredcites →https://doi.org/10.1145/1995896.1995909openalex-snapshot
Generic topology mapping strategies for large-scale parallel architectures
inferredcites →https://doi.org/10.1145/2555243.2555277openalex-snapshot
Task mapping stencil computations for non-contiguous allocations
inferredcites →https://doi.org/10.2172/1039405openalex-snapshot
MiniGhost: A Miniapp for Exploring Boundary Exchange Strategies Using Stencil Computations in Scientific Parallel Computing
inferredcites →https://doi.org/10.2172/1093699openalex-snapshot
Task mapping for non-contiguous allocations.
inferredcites →https://doi.org/10.2172/993908openalex-snapshot
Improving performance via mini-applications.
inferredcites →https://doi.org/10.2307/2346830openalex-snapshot
Algorithm AS 136: A K-Means Clustering Algorithm
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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A Methodology for Handling Data Movements by Anticipation: Position Paper
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Dark Silicon Patterning: Efficient Power Utilization Through Run-Time Mapping
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Task-Node Mapping in an Arbitrary Computer Network Using SMT Solver
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LocalBoost: A Parallelizable Approach to Boosting Classifiers
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Hierarchical task mapping for parallel applications on supercomputers
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Topology mapping of irregular parallel applications on torus-connected supercomputers
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Mapping techniques in multicore processors: current and future trends
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Detailed and clock-driven simulation for HPC interconnection network
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Wormhole optical network: a new architecture to solve long diameter problem in exascale computer
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Dynamic Resource Management for Machine Learning Pipeline Workloads
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Communication-aware process and thread mapping using online communication detection
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Local search to improve coordinate-based task mapping
inferred← citeshttps://doi.org/10.1109/ccgrid.2017.33openalex-snapshot
APHiD: Hierarchical Task Placement to Enable a Tapered Fat Tree Topology for Lower Power and Cost in HPC Networks
inferred← citeshttps://doi.org/10.1109/ccgrid.2018.00079openalex-snapshot
Process Affinity, Metrics and Impact on Performance: An Empirical Study
inferred← citeshttps://doi.org/10.1109/cluster.2014.6968670openalex-snapshot
Demonstrating improved application performance using dynamic monitoring and task mapping
inferred← citeshttps://doi.org/10.1109/cluster.2015.57openalex-snapshot
Comparing Global Link Arrangements for Dragonfly Networks
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Characterizing Supercomputer Traffic Networks Through Link-Level Analysis
inferred← citeshttps://doi.org/10.1109/hipc.2014.7116706openalex-snapshot
Optimizing the performance of parallel applications on a 5D torus via task mapping
inferred← citeshttps://doi.org/10.1109/hpcc/smartcity/dss.2019.00149openalex-snapshot
Load Balancing for Multi-Physics Simulations
inferred← citeshttps://doi.org/10.1109/hpcc/smartcity/dss.2019.00154openalex-snapshot
OeIM: An Optoelectronic Interconnection Middleware for the Exascale Computer
inferred← citeshttps://doi.org/10.1109/hpcs48598.2019.9188134openalex-snapshot
Distributed Memory Graph Representation for Load Balancing Data: Accelerating Data Structure Generation for Decentralized Scheduling
inferred← citeshttps://doi.org/10.1109/iccd.2015.7357167openalex-snapshot
Dark silicon aware runtime mapping for many-core systems: A patterning approach
inferred← citeshttps://doi.org/10.1109/iccd46524.2019.00025openalex-snapshot
A New Traffic Offloading Method with Slow Switching Optical Device in Exascale Computer
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PReMAS: Simulator for Resource Management
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PReMAS: Simulator for Resource Management
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Improving Valiant Routing for Slim Fly Networks
inferred← citeshttps://doi.org/10.1109/ipdps.2015.93openalex-snapshot
Fast and High Quality Topology-Aware Task Mapping
inferred← citeshttps://doi.org/10.1109/ipdpsw.2016.146openalex-snapshot
PTRAM: A Parallel Topology-and Routing-Aware Mapping Framework for Large-Scale HPC Systems
inferred← citeshttps://doi.org/10.1109/ispa-bdcloud-sustaincom-socialcom48970.2019.00015openalex-snapshot
The Impact of Application Mapping on Non-Random and Random Network Topologies
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The Lightweight Distributed Metric Service: A Scalable Infrastructure for Continuous Monitoring of Large Scale Computing Systems and Applications
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RAMAN: Reinforcement Learning Inspired Algorithm for Mapping Applications onto Mesh Network-on-Chip
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Reducing Static Energy in Supercomputer Interconnection Networks Using Topology-Aware Partitioning
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adBoost: Thermal Aware Performance Boosting Through Dark Silicon Patterning
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A New Optoelectronic Hybrid Network Based on Scheduling Optimization of Optical Links
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COP: A Combinational Optimization Power Budgeting Method for Manycore Systems in Dark Silicon
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Multi-Jagged: A Scalable Parallel Spatial Partitioning Algorithm
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Geometric Mapping of Tasks to Processors on Parallel Computers with Mesh or Torus Networks
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Task mapping stencil computations for non-contiguous allocations
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Task mapping stencil computations for non-contiguous allocations
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Infrastructure for In Situ System Monitoring and Application Data Analysis
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Automatic topology mapping of diverse large-scale parallel applications
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Model-Based Reconfiguration Planning for a Distributed On-board Computer
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A Deep Reinforcement Learning Method for Solving Task Mapping Problems with Dynamic Traffic on Parallel Systems
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An embedded sectioning scheme for multiprocessor topology-aware mapping of irregular applications
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Topology-Aware Mapping Techniques for Heterogeneous HPC Systems: A Systematic Survey
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Application Mapping and Scheduling of Uncertain Communication Patterns onto Non-Random and Random Network Topologies
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Programming Abstractions for Data Locality
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Geometric Partitioning and Ordering Strategies for Task Mapping on Parallel Computers
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Programming and runtime support for enabling data-intensive coupled scientific simulation workflows
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