On the public citation graph
Convolution engine
0 signed · 52 inferred · view as graph
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.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/s11767-006-0096-3openalex-snapshot
An adaptive color plane interpolation method based on edge detection
inferredcites →https://doi.org/10.1023/b:visi.0000029664.99615.94openalex-snapshot
Distinctive Image Features from Scale-Invariant Keypoints
inferredcites →https://doi.org/10.1109/40.848473openalex-snapshot
Xtensa: a configurable and extensible processor
inferredcites →https://doi.org/10.1109/hotchips.2011.7477506openalex-snapshot
T4: A highly threaded server-on-a-chip with native support for heterogeneous computing
inferredcites →https://doi.org/10.1109/ispass.2009.4919648openalex-snapshot
Analyzing CUDA workloads using a detailed GPU simulator
inferredcites →https://doi.org/10.1109/l-ca.2008.1openalex-snapshot
An Energy-Efficient Processor Architecture for Embedded Systems
inferredcites →https://doi.org/10.1109/mdt.2010.141openalex-snapshot
Customizable Domain-Specific Computing
inferredcites →https://doi.org/10.1109/mm.2010.81openalex-snapshot
Rethinking Digital Design: Why Design Must Change
inferredcites →https://doi.org/10.1109/mm.2011.3openalex-snapshot
IBM Power Edge of Network Processor: A Wire-Speed System on a Chip
inferredcites →https://doi.org/10.1109/mm.2012.51openalex-snapshot
DySER: Unifying Functionality and Parallelism Specialization for Energy-Efficient Computing
inferredcites →https://doi.org/10.1109/tcsvt.2006.873163openalex-snapshot
Analysis and architecture design of an HDTV720p 30 frames/s H.264/AVC encoder
inferredcites →https://doi.org/10.1145/1015706.1015777openalex-snapshot
Digital photography with flash and no-flash image pairs
inferredcites →https://doi.org/10.1145/1278480.1278544openalex-snapshot
Chip multi-processor generator
inferredcites →https://doi.org/10.1145/1815961.1815968openalex-snapshot
Understanding sources of inefficiency in general-purpose chips
inferredcites →https://doi.org/10.1145/339647.339708openalex-snapshot
Multiple-banked register file architectures
inferredcites →https://doi.org/10.5555/320080.320093openalex-snapshot
Exploiting a new level of DLP in multimedia applications
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-319-94340-4_4openalex-snapshot
A Reconfigurable Streaming Processor for Real-Time Low-Power Execution of Convolutional Neural Networks at the Edge
inferred← citeshttps://doi.org/10.1007/s11265-023-01869-5openalex-snapshot
Accelerating Image Processing Using Reduced Precision Calculation Convolution Engines
inferred← citeshttps://doi.org/10.1109/access.2021.3066335openalex-snapshot
Impact of NCFET on Neural Network Accelerators
inferred← citeshttps://doi.org/10.1109/access.2022.3229767openalex-snapshot
Efficient Hardware Architectures for Accelerating Deep Neural Networks: Survey
inferred← citeshttps://doi.org/10.1109/hpca61900.2025.00116openalex-snapshot
PIMnet: A Domain-Specific Network for Efficient Collective Communication in Scalable PIM
inferred← citeshttps://doi.org/10.1109/hpec.2018.8547530openalex-snapshot
A Novel 1D-Convolution Accelerator for Low-Power Real-time CNN processing on the Edge
inferred← citeshttps://doi.org/10.1109/isqed60706.2024.10528780openalex-snapshot
Fused Functional Units for Area-Efficient CGRAs
inferred← citeshttps://doi.org/10.1109/isscc42614.2022.9731536openalex-snapshot
The Art of Scaling: Distributed and Connected to Sustain the Golden Age of Computation
inferred← citeshttps://doi.org/10.1109/jiot.2020.2990215openalex-snapshot
AWARE-CNN: Automated Workflow for Application-Aware Real-Time Edge Acceleration of CNNs
inferred← citeshttps://doi.org/10.1109/jproc.2022.3218057openalex-snapshot
Technology Prospects for Data-Intensive Computing
inferred← citeshttps://doi.org/10.1109/jssc.2024.3368350openalex-snapshot
RoboVisio: A Micro-Robot Vision Domain-Specific SoC for Autonomous Navigation Enabling Fully-on-Chip Intelligence via 2-MB eMRAM
inferred← citeshttps://doi.org/10.1109/mm.2016.36openalex-snapshot
Accelerating the Accelerator Memory Interface with Access-Execute and Dataflow
inferred← citeshttps://doi.org/10.1109/tpds.2021.3056045openalex-snapshot
Hardware Accelerator Integration Tradeoffs for High-Performance Computing: A Case Study of GEMM Acceleration in N-Body Methods
inferred← citeshttps://doi.org/10.1145/3357375openalex-snapshot
A Survey of Coarse-Grained Reconfigurable Architecture and Design
inferred← citeshttps://doi.org/10.1145/3470496.3533040openalex-snapshot
The Mozart reuse exposed dataflow processor for AI and beyond
inferred← citeshttps://doi.org/10.1145/3503222.3507741openalex-snapshot
Efficient and scalable core multiplexing with M³v
inferred← citeshttps://doi.org/10.1145/3544102openalex-snapshot
Microarchitectural Attacks in Heterogeneous Systems: A Survey
inferred← citeshttps://doi.org/10.1145/3600092openalex-snapshot
Accelerating Convolutional Neural Network by Exploiting Sparsity on GPUs
inferred← citeshttps://doi.org/10.2200/s00677ed1v01y201511cac034openalex-snapshot
Research Infrastructures for Hardware Accelerators
inferred← citeshttps://doi.org/10.24251/hicss.2018.212openalex-snapshot
Coordinating Advanced Crowd Work: Extending Citizen Science
inferred← citeshttps://doi.org/10.48550/arxiv.2104.10415openalex-snapshot
Tackling Variabilities in Autonomous Driving
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.