On the public citation graph

GPUs reshape computing

0 signed · 19 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.
Claim with ORCID
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 See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1109/micro.2014.11openalex-snapshot
Adaptive Cache Management for Energy-Efficient GPU Computing
inferredcites →https://doi.org/10.1145/1273496openalex-snapshot
Proceedings of the 24th international conference on Machine learning
inferredcites →https://doi.org/10.1145/1553374.1553486openalex-snapshot
Large-scale deep unsupervised learning using graphics processors

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.6506openalex-snapshot
Signal processing for a reverse‐GPS wildlife tracking system: CPU and GPU implementation experiences
inferred← citeshttps://doi.org/10.1007/978-3-030-71593-9_8openalex-snapshot
High-performance GPU and CPU Signal Processing for a Reverse-GPS Wildlife Tracking System
inferred← citeshttps://doi.org/10.1016/j.chb.2011.08.011openalex-snapshot
How to work and play with robots: An approach to modeling human–robot interaction
inferred← citeshttps://doi.org/10.1016/j.jksuci.2020.05.011openalex-snapshot
An effective scheme for memory congestion reduction in multi-core environment
inferred← citeshttps://doi.org/10.1016/j.sysarc.2022.102561openalex-snapshot
A survey on hardware accelerators: Taxonomy, trends, challenges, and perspectives
inferred← citeshttps://doi.org/10.1029/2018wr022643openalex-snapshot
A Transdisciplinary Review of Deep Learning Research and Its Relevance for Water Resources Scientists
inferred← citeshttps://doi.org/10.1109/sbesc51047.2020.9277841openalex-snapshot
A Comprehensive Performance Evaluation to GPGPU Applications under STT- RAM based Hybrid Cache Architectures
inferred← citeshttps://doi.org/10.1145/3085571openalex-snapshot
Intelligence on tap
inferred← citeshttps://doi.org/10.1145/3126908.3126933openalex-snapshot
Topology-aware GPU scheduling for learning workloads in cloud environments
inferred← citeshttps://doi.org/10.1145/3508042openalex-snapshot
Understanding I/O Direct Cache Access Performance for End Host Networking
inferred← citeshttps://doi.org/10.1613/jair.1.11205openalex-snapshot
A COP Model For Graph-Constrained Coalition Formation
inferred← citeshttps://doi.org/10.24963/ijcai.2018/783openalex-snapshot
A COP Model for Graph-Constrained Coalition Formation (Extended Abstract)
inferred← citeshttps://doi.org/10.3389/fspor.2021.809898openalex-snapshot
A SWOT Analysis of Portable and Low-Cost Markerless Motion Capture Systems to Assess Lower-Limb Musculoskeletal Kinematics in Sport
inferred← citeshttps://doi.org/10.3390/app11041675openalex-snapshot
MR Images, Brain Lesions, and Deep Learning
inferred← citeshttps://doi.org/10.3390/s20010216openalex-snapshot
Neural Network Ensembles for Sensor-Based Human Activity Recognition Within Smart Environments
inferred← citeshttps://doi.org/10.5821/dissertation-2117-132778openalex-snapshot
Improving resource efficiency in virtualized datacenters
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.