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https://doi.org/10.1145/3309987
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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/10.1007/978-3-642-04342-0_14openalex-snapshot
Regular Expression Matching on Graphics Hardware for Intrusion Detection
inferredcites →https://doi.org/10.1109/hpca.2011.5749735openalex-snapshot
Essential roles of exploiting internal parallelism of flash memory based solid state drives in high-speed data processing
inferredcites →https://doi.org/10.1109/isca.2016.15openalex-snapshot
Morpheus: Creating Application Objects Efficiently for Heterogeneous Computing
inferredcites →https://doi.org/10.1109/isca.2016.58openalex-snapshot
ActivePointers: A Case for Software Address Translation on GPUs
inferredcites →https://doi.org/10.1109/msst.2013.6558443openalex-snapshot
VSSIM: Virtual machine based SSD simulator
inferredcites →https://doi.org/10.1109/pact.2015.43openalex-snapshot
NVMMU: A Non-volatile Memory Management Unit for Heterogeneous GPU-SSD Architectures
inferredcites →https://doi.org/10.1109/tpami.2008.128openalex-snapshot
80 Million Tiny Images: A Large Data Set for Nonparametric Object and Scene Recognition
inferredcites →https://doi.org/10.1145/2451116.2451169openalex-snapshot
GPUfs
inferredcites →https://doi.org/10.1145/2553081openalex-snapshot
GPUfs
inferredcites →https://doi.org/10.1145/3007787.3001143openalex-snapshot
Morpheus
inferredcites →https://doi.org/10.1145/3007787.3001200openalex-snapshot
ActivePointers
inferredcites →https://doi.org/10.5555/2685048.2685065openalex-snapshot
GPUnet: networking abstractions for GPU programs

What points at this work

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

inferred← citeshttps://doi.org/10.1007/978-3-031-64608-9_1openalex-snapshot
e-CLAS: Effective GPUDirect I/O Classification Scheme
inferred← citeshttps://doi.org/10.1007/978-981-95-1021-4_10openalex-snapshot
CeDMA: Enhancing Memory Efficiency of Heterogeneous Accelerator Systems Through Central DMA Controlling
inferred← citeshttps://doi.org/10.1007/s42514-022-00112-0openalex-snapshot
Survey on storage-accelerator data movement
inferred← citeshttps://doi.org/10.1109/hpec43674.2020.9286174openalex-snapshot
Exploiting GPU Direct Access to Non-Volatile Memory to Accelerate Big Data Processing
inferred← citeshttps://doi.org/10.1109/infocom42981.2021.9488699openalex-snapshot
GPU-Ether: GPU-native Packet I/O for GPU Applications on Commodity Ethernet
inferred← citeshttps://doi.org/10.1109/infocomwkshps51825.2021.9484641openalex-snapshot
P2PNIC: High-Speed Packet Forwarding by Direct Communication between NICs
inferred← citeshttps://doi.org/10.1109/netsoft54395.2022.9844090openalex-snapshot
Host Bypassing: Let your GPU speak Ethernet
inferred← citeshttps://doi.org/10.1109/sc41406.2024.00100openalex-snapshot
Efficient Tensor Offloading for Large Deep-Learning Model Training based on Compute Express Link
inferred← citeshttps://doi.org/10.1109/tc.2020.3027671openalex-snapshot
OurRocks: Offloading Disk Scan Directly to GPU in Write-Optimized Database System
inferred← citeshttps://doi.org/10.1109/tpds.2025.3586616openalex-snapshot
GPComp: Using GPU and SSD-GPU Peer to Peer DMA to Accelerate LSM-Tree Compaction for Key-Value Store
inferred← citeshttps://doi.org/10.1145/3315569openalex-snapshot
Augmenting Operating Systems with OpenCL Accelerators
inferred← citeshttps://doi.org/10.1145/3453933.3454023openalex-snapshot
Analysis of NVMe-SSD to passthrough GPU data transfer in virtualized systems
inferred← citeshttps://doi.org/10.1145/3503222.3507776openalex-snapshot
FlexDriver: A Network Driver for Your Accelerator
inferred← citeshttps://doi.org/10.1145/3593856.3595906openalex-snapshot
CPU-free Computing: A Vision with a Blueprint
inferred← citeshttps://doi.org/10.1145/3630108openalex-snapshot
Fastensor: Optimise the Tensor I/O Path from SSD to GPU for Deep Learning Training
inferred← citeshttps://doi.org/10.1145/3712285.3759778openalex-snapshot
AGILE: Lightweight and Efficient Asynchronous GPU-SSD Integration
inferred← citeshttps://doi.org/10.1145/3779212.3790130openalex-snapshot
Asynchrony and GPUs: Bridging this Dichotomy for I/O with AGIO
inferred← citeshttps://doi.org/10.2197/ipsjjip.30.226openalex-snapshot
A NIC-driven Architecture for High-speed IP Packet Forwarding on General-purpose Servers
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