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Landrush: Rethinking In-Situ Analysis for GPGPU Workflows
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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/10.1109/ecrts.2012.15openalex-snapshot
Supporting Preemptive Task Executions and Memory Copies in GPGPUs
inferredcites →https://doi.org/10.1109/escience.2015.59openalex-snapshot
SODA: Science-Driven Orchestration of Data Analytics
inferredcites →https://doi.org/10.1109/hpca.2012.6168946openalex-snapshot
The case for GPGPU spatial multitasking
inferredcites →https://doi.org/10.1109/hpcs.2010.5547126openalex-snapshot
rCUDA: Reducing the number of GPU-based accelerators in high performance clusters
inferredcites →https://doi.org/10.1109/ipdps.2009.5161020openalex-snapshot
vCUDA: GPU accelerated high performance computing in virtual machines
inferredcites →https://doi.org/10.1109/ipdps.2013.46openalex-snapshot
FlexIO: I/O Middleware for Location-Flexible Scientific Data Analytics
inferredcites →https://doi.org/10.1109/isca.2014.6853208openalex-snapshot
Enabling preemptive multiprogramming on GPUs
inferredcites →https://doi.org/10.1109/pact.2013.6618814openalex-snapshot
Transparent CPU-GPU collaboration for data-parallel kernels on heterogeneous systems
inferredcites →https://doi.org/10.1109/rtss.2011.13openalex-snapshot
RGEM: A Responsive GPGPU Execution Model for Runtime Engines
inferredcites →https://doi.org/10.1109/sc.2012.31openalex-snapshot
Combining in-situ and in-transit processing to enable extreme-scale scientific analysis
inferredcites →https://doi.org/10.1109/sc.2014.47openalex-snapshot
Scheduling Multi-tenant Cloud Workloads on Accelerator-Based Systems
inferredcites →https://doi.org/10.1109/tc.2011.112openalex-snapshot
vCUDA: GPU-Accelerated High-Performance Computing in Virtual Machines
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/10.1145/2287076.2287090openalex-snapshot
A virtual memory based runtime to support multi-tenancy in clusters with GPUs
inferredcites →https://doi.org/10.1145/2287076.2287091openalex-snapshot
Interference-driven resource management for GPU-based heterogeneous clusters
inferredcites →https://doi.org/10.1145/2287076.2287095openalex-snapshot
A system-aware optimized data organization for efficient scientific analytics
inferredcites →https://doi.org/10.1145/2451116.2451160openalex-snapshot
Improving GPGPU concurrency with elastic kernels
inferredcites →https://doi.org/10.1145/2462902.2462911openalex-snapshot
A preemption-based runtime to efficiently schedule multi-process applications on heterogeneous clusters with GPUs
inferredcites →https://doi.org/10.1145/2462902.2462915openalex-snapshot
On the efficacy of GPU-integrated MPI for scientific applications
inferredcites →https://doi.org/10.1145/2503210.2503258openalex-snapshot
Kinetic turbulence simulations at extreme scale on leadership-class systems
inferredcites →https://doi.org/10.1145/2503210.2503299openalex-snapshot
Effective sampling-driven performance tools for GPU-accelerated supercomputers
inferredcites →https://doi.org/10.1145/2503210.2504564openalex-snapshot
Radiative signatures of the relativistic Kelvin-Helmholtz instability
inferredcites →https://doi.org/10.1145/2541940.2541963openalex-snapshot
Disengaged scheduling for fair, protected access to fast computational accelerators
inferredcites →https://doi.org/10.1145/2600212.2600228openalex-snapshot
Design and evaluation of the gemtc framework for GPU-enabled many-task computing
inferredcites →https://doi.org/10.1145/2678373.2665702openalex-snapshot
Enabling preemptive multiprogramming on GPUs
inferredcites →https://doi.org/10.1177/1094342013492446openalex-snapshot
Analysis and optimization of gyrokinetic toroidal simulations on homogenous and heterogenous platforms
inferredcites →https://doi.org/10.5555/2342788.2342798openalex-snapshot
Fine-grained resource sharing for concurrent GPGPU kernels
inferredcites →https://doi.org/10.5555/2523721.2523756openalex-snapshot
Transparent CPU-GPU collaboration for data-parallel kernels on heterogeneous systems
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/cpe.8141openalex-snapshot
SOMA: Observability, monitoring, and in situ analytics for exascale applications
inferred← citeshttps://doi.org/10.1007/978-3-031-39698-4_22openalex-snapshot
Optimizing Data Movement for GPU-Based In-Situ Workflow Using GPUDirect RDMA
inferred← citeshttps://doi.org/10.1109/ccgrid54584.2022.00013openalex-snapshot
Assembling Portable In-Situ Workflow from Heterogeneous Components using Data Reorganization
inferred← citeshttps://doi.org/10.1109/escience.2019.00037openalex-snapshot
Scalable Performance Awareness for In Situ Scientific Applications
inferred← citeshttps://doi.org/10.1109/hipc62374.2024.00027openalex-snapshot
Dual Channel Dual Staging: Hierarchical and Portable Staging for GPU-Based In-Situ Workflow
inferred← citeshttps://doi.org/10.1109/icdcs.2018.00136openalex-snapshot
A View from ORNL: Scientific Data Research Opportunities in the Big Data Age
inferred← citeshttps://doi.org/10.1109/ipdpsw52791.2021.00017openalex-snapshot
Scheduling HPC Workflows with Intel Optane Persistent Memory
inferred← citeshttps://doi.org/10.1109/sc41404.2022.00026openalex-snapshot
SERVIZ: A Shared In Situ Visualization Service
inferred← citeshttps://doi.org/10.1109/sc41405.2020.00086openalex-snapshot
MoHA: A Composable System for Efficient In-Situ Analytics on Heterogeneous HPC Systems
inferred← citeshttps://doi.org/10.1109/tvcg.2022.3169590openalex-snapshot
A Hybrid in Situ Approach for Cost Efficient Image Database Generation
inferred← citeshttps://doi.org/10.1145/3144769.3144777openalex-snapshot
In Situ Summarization with VTK-m
inferred← citeshttps://doi.org/10.1145/3458744.3474037openalex-snapshot
DYFLOW: A flexible framework for orchestrating scientific workflows on supercomputers
inferred← citeshttps://doi.org/10.1145/3559009.3569661openalex-snapshot
GPU Adaptive In-situ Parallel Analytics (GAP)
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