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On the benefits of the remote GPU virtualization mechanism: The rCUDA case

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Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

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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.2943openalex-snapshot
Performance modeling of microsecond scale biological molecular dynamics simulations on heterogeneous architectures
inferredcites →https://doi.org/10.1002/cpe.3152openalex-snapshot
Tridiagonalization of a dense symmetric matrix on multiple GPUs and its application to symmetric eigenvalue problems
inferredcites →https://doi.org/10.1002/cpe.3409openalex-snapshot
Improving the user experience of the rCUDA remote GPU virtualization framework
inferredcites →https://doi.org/10.1002/jcc.20289openalex-snapshot
Scalable molecular dynamics with NAMD
inferredcites →https://doi.org/10.1007/10968987_3openalex-snapshot
SLURM: Simple Linux Utility for Resource Management
inferredcites →https://doi.org/10.1007/978-3-319-39577-7_7openalex-snapshot
Providing CUDA Acceleration to KVM Virtual Machines in InfiniBand Clusters with rCUDA
inferredcites →https://doi.org/10.1007/978-3-642-15277-1_37openalex-snapshot
A GPGPU Transparent Virtualization Component for High Performance Computing Clouds
inferredcites →https://doi.org/10.1016/j.cpc.2011.10.012openalex-snapshot
Implementing molecular dynamics on hybrid high performance computers – Particle–particle particle-mesh
inferredcites →https://doi.org/10.1016/j.parco.2010.02.006openalex-snapshot
Parallel option pricing with Fourier space time-stepping method on graphics processing units
inferredcites →https://doi.org/10.1016/j.parco.2014.09.011openalex-snapshot
A complete and efficient CUDA-sharing solution for HPC clusters
inferredcites →https://doi.org/10.1016/j.patrec.2009.10.009openalex-snapshot
CUDA–MEME: Accelerating motif discovery in biological sequences using CUDA-enabled graphics processing units
inferredcites →https://doi.org/10.1093/bioinformatics/btq644openalex-snapshot
GPU-BLAST: using graphics processors to accelerate protein sequence alignment
inferredcites →https://doi.org/10.1093/bioinformatics/btt055openalex-snapshot
GROMACS 4.5: a high-throughput and highly parallel open source molecular simulation toolkit
inferredcites →https://doi.org/10.1109/cloud.2014.90openalex-snapshot
GPU Passthrough Performance: A Comparison of KVM, Xen, VMWare ESXi, and LXC for CUDA and OpenCL Applications
inferredcites →https://doi.org/10.1109/cloudcom.2012.6427531openalex-snapshot
On implementation of GPU virtualization using PCI pass-through
inferredcites →https://doi.org/10.1109/cvprw.2008.4563088openalex-snapshot
Canny edge detection on NVIDIA CUDA
inferredcites →https://doi.org/10.1109/hipineb.2016.8openalex-snapshot
Remote GPU Virtualization: Is It Useful?
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/pdcat.2009.78openalex-snapshot
CheCUDA: A Checkpoint/Restart Tool for CUDA Applications
inferredcites →https://doi.org/10.1109/sbac-pad.2014.49openalex-snapshot
SLURM Support for Remote GPU Virtualization: Implementation and Performance Study
inferredcites →https://doi.org/10.1109/sc.companion.2012.146openalex-snapshot
DS-CUDA: A Middleware to Use Many GPUs in the Cloud Environment
inferredcites →https://doi.org/10.1109/waina.2011.82openalex-snapshot
GridCuda: A Grid-Enabled CUDA Programming Toolkit
inferredcites →https://doi.org/10.1145/1519138.1519141openalex-snapshot
GViM
inferredcites →https://doi.org/10.1145/1961189.1961199openalex-snapshot
LIBSVM
inferredcites →https://doi.org/10.1145/1996121.1996124openalex-snapshot
Shadowfax
inferredcites →https://doi.org/10.1145/2544137.2544166openalex-snapshot
Red Fox
inferredcites →https://doi.org/10.1145/2830013.2830015openalex-snapshot
Local and Remote GPUs Perform Similar with EDR 100G InfiniBand
inferredcites →https://doi.org/10.1145/2851141.2851181openalex-snapshot
CUDA acceleration for Xen virtual machines in infiniband clusters with rCUDA
inferredcites →https://doi.org/10.1155/2013/939460openalex-snapshot
Exploiting GPUs in Virtual Machine for BioCloud
inferredcites →https://doi.org/10.1186/1471-2105-14-117openalex-snapshot
CUDASW++ 3.0: accelerating Smith-Waterman protein database search by coupling CPU and GPU SIMD instructions
inferredcites →https://doi.org/10.1186/1471-2105-14-s8-s3openalex-snapshot
Robust PCA based method for discovering differentially expressed genes
inferredcites →https://doi.org/10.1186/1756-0500-5-27openalex-snapshot
BarraCUDA - a fast short read sequence aligner using graphics processing units
inferredcites →https://doi.org/10.1186/gb-2004-5-2-r12openalex-snapshot
Versatile and open software for comparing large genomes

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.4176openalex-snapshot
Special issue on trends in high‐performance interconnection networks in the exascale and big‐data era
inferred← citeshttps://doi.org/10.1002/cpe.4664openalex-snapshot
Heterogeneous distributed computing based on high‐level abstractions
inferred← citeshttps://doi.org/10.1002/cpe.5275openalex-snapshot
Improving the management efficiency of GPU workloads in data centers through GPU virtualization
inferred← citeshttps://doi.org/10.1002/cpe.5488openalex-snapshot
CUDA offloading for energy‐efficient and high‐frame‐rate simulations using tablets
inferred← citeshttps://doi.org/10.1002/cpe.7328openalex-snapshot
Exploring the use of data compression for accelerating machine learning in the edge with remote virtual graphics processing units
inferred← citeshttps://doi.org/10.1002/cpe.7897openalex-snapshot
A multithreaded CUDA and OpenMP based power‐aware programming framework for multi‐node GPU systems
inferred← citeshttps://doi.org/10.1007/978-3-031-15471-3_21openalex-snapshot
Smash: A Compression Benchmark with AI Datasets from Remote GPU Virtualization Systems
inferred← citeshttps://doi.org/10.1007/978-3-031-85700-3_14openalex-snapshot
Boosting GPGPU Virtualization and Multiplexing with RDMA Communication
inferred← citeshttps://doi.org/10.1007/978-3-031-90758-6_2openalex-snapshot
A Comprehensive Study on Artificial Intelligence of Things Optimization Approaches
inferred← citeshttps://doi.org/10.1007/978-981-96-2061-6_1openalex-snapshot
gFlow: Distributed Real-Time Reverse Remote Rendering System Model
inferred← citeshttps://doi.org/10.1007/s11227-018-2720-zopenalex-snapshot
Toward a transparent and efficient GPU cloudification architecture
inferred← citeshttps://doi.org/10.1016/j.future.2022.03.022openalex-snapshot
An out-of-core method for GPU image mapping on large 3D scenarios of the real world
inferred← citeshttps://doi.org/10.1016/j.future.2022.12.038openalex-snapshot
Using remote GPU virtualization techniques to enhance edge computing devices
inferred← citeshttps://doi.org/10.1016/j.future.2025.107944openalex-snapshot
Enhancing the performance of GPU acceleration in virtual environments: Thoroughly benchmarking the rigidity of mediated device passthrough
inferred← citeshttps://doi.org/10.1016/j.jpdc.2022.10.008openalex-snapshot
gVMP: A multi-objective joint VM and vGPU placement heuristic for API remoting-based GPU virtualization and disaggregation in cloud data centers
inferred← citeshttps://doi.org/10.1016/j.sysarc.2024.103138openalex-snapshot
NGS: A network GPGPU system for orchestrating remote and virtual accelerators
inferred← citeshttps://doi.org/10.1109/access.2018.2855261openalex-snapshot
GSaaS: A Service to Cloudify and Schedule GPUs
inferred← citeshttps://doi.org/10.1109/candar.2017.49openalex-snapshot
CloudCL: Distributed Heterogeneous Computing on Cloud Scale
inferred← citeshttps://doi.org/10.1109/icfec51620.2021.00013openalex-snapshot
AVEC: Accelerator Virtualization in Cloud-Edge Computing for Deep Learning Libraries
inferred← citeshttps://doi.org/10.1109/mcc.2018.064181118openalex-snapshot
Accelerator Virtualization in Fog Computing: Moving from the Cloud to the Edge
inferred← citeshttps://doi.org/10.1109/tc.2022.3199998openalex-snapshot
An Economy-Oriented GPU Virtualization With Dynamic and Adaptive Oversubscription
inferred← citeshttps://doi.org/10.1109/tpds.2019.2924433openalex-snapshot
GPU-Job Migration: The rCUDA Case
inferred← citeshttps://doi.org/10.1109/tpds.2023.3274957openalex-snapshot
Multi-Tier GPU Virtualization for Deep Learning in Cloud-Edge Systems
inferred← citeshttps://doi.org/10.1145/3547276.3548628openalex-snapshot
Pipelined Compression in Remote GPU Virtualization Systems using rCUDA: Early Experiences
inferred← citeshttps://doi.org/10.1145/3578245.3584933openalex-snapshot
On the Acceleration of FaaS Using Remote GPU Virtualization
inferred← citeshttps://doi.org/10.1177/10943420251369350openalex-snapshot
PoCL-R: An open standard based heterogeneous offloading layer with server side scalability
inferred← citeshttps://doi.org/10.15803/ijnc.8.2_282openalex-snapshot
CloudCL: Single-Paradigm Distributed Heterogeneous Computing for Cloud Infrastructures
inferred← citeshttps://doi.org/10.3390/s20030828openalex-snapshot
5G support for Industrial IoT Applications— Challenges, Solutions, and Research gaps
inferred← citeshttps://doi.org/10.3390/s24144649openalex-snapshot
A Parallel Compression Pipeline for Improving GPU Virtualization Data Transfers.
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