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Algorithmic Techniques for Solving Graph Problems on the Automata Processor

https://doi.org/10.1109/ipdps.2016.116

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What this work says

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

inferredcites →https://doi.org/10.1109/icosc.2015.7050812openalex-snapshot

Brill tagging on the Micron Automata Processor

inferredcites →https://doi.org/10.1109/ipdps.2014.51openalex-snapshot

Finding Motifs in Biological Sequences Using the Micron Automata Processor

inferredcites →https://doi.org/10.1109/ipdps.2015.101openalex-snapshot

Association Rule Mining with the Micron Automata Processor

inferredcites →https://doi.org/10.1109/tcbb.2015.2430313openalex-snapshot

Discovering Motifs in Biological Sequences Using the Micron Automata Processor

inferredcites →https://doi.org/10.1109/tpds.2014.8openalex-snapshot

An Efficient and Scalable Semiconductor Architecture for Parallel Automata Processing

inferredcites →https://doi.org/10.1145/321850.321854openalex-snapshot

A Search Procedure for Hamilton Paths and Circuits

What points at this work

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

inferred← citeshttps://doi.org/10.1016/j.jpdc.2018.01.010openalex-snapshot

Interval stabbing on the Automata Processor

inferred← citeshttps://doi.org/10.1016/j.sysarc.2019.07.006openalex-snapshot

A survey on applications and architectural-optimizations of Micron’s Automata Processor

inferred← citeshttps://doi.org/10.1109/bigdata.2017.8257936openalex-snapshot

Robotomata: A framework for approximate pattern matching of big data on an automata processor

inferred← citeshttps://doi.org/10.1109/hpca.2018.00069openalex-snapshot

Characterizing and Mitigating Output Reporting Bottlenecks in Spatial Automata Processing Architectures

inferred← citeshttps://doi.org/10.1109/ia3.2016.008openalex-snapshot

Parallel Interval Stabbing on the Automata Processor

inferred← citeshttps://doi.org/10.1109/ipdps47924.2020.00037openalex-snapshot

GPU-Based Static Data-Flow Analysis for Fast and Scalable Android App Vetting

inferred← citeshttps://doi.org/10.1109/micro.2018.00078openalex-snapshot

Architectural Support for Efficient Large-Scale Automata Processing

inferred← citeshttps://doi.org/10.1145/3079079.3079100openalex-snapshot

Demystifying automata processing

inferred← citeshttps://doi.org/10.1145/3297858.3304066openalex-snapshot

Debugging Support for Pattern-Matching Languages and Accelerators

inferred← citeshttps://doi.org/10.1145/3373376.3378503openalex-snapshot

Accelerating Legacy String Kernels via Bounded Automata Learning

inferred← citeshttps://doi.org/10.1145/3556976openalex-snapshot

DynamAP: Architectural Support for Dynamic Graph Traversal on the Automata Processor

inferred← citeshttps://doi.org/10.1145/3617232.3624848openalex-snapshot

ngAP: Non-blocking Large-scale Automata Processing on GPUs

inferred← citeshttps://doi.org/10.1145/3676642.3736126openalex-snapshot

Hopps: Leveraging Sparsity to Accelerate Automata Processing

inferred← citeshttps://doi.org/10.1145/3748646openalex-snapshot

Towards Scalable and Non-blocking Automata Processing on GPUs with ngAP

inferred← citeshttps://doi.org/10.5555/3018843.3018846openalex-snapshot

Parallel interval stabbing on the automata processor

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