Engineering next generation self healing and self optimizing neural network based medical platforms
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Engineering Next-generation Self-healing And Self-optimizing Neural Network Based Medical Platforms. Zhanpeng Jin Allen C. Cheng [email protected] [email protected] ASPLOS 2010, The Wild and Crazy Session VIII. Artificial Neural Network.

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Zhanpeng Jin Allen C. Cheng [email protected] [email protected]

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Engineering next generation self healing and self optimizing neural network based medical platforms

Engineering Next-generation Self-healing And Self-optimizing Neural Network Based Medical Platforms

Zhanpeng Jin Allen C. Cheng

[email protected]@pitt.edu

ASPLOS 2010, The Wild and Crazy Session VIII


Artificial neural network

Artificial Neural Network

(Source: "Anatomy and Physiology" by the US National Cancer Institute's Surveillance, Epidemiology and End Results (SEER) Program.)

(Source: CapitalISM BI)


Emerging neural hardware

Emerging Neural Hardware

Neural chip (384 neurons + 100,000 synapses) @ FACET Project

Microchip of a neural network

@ RIEC, Tohoku University

The China-Brain Project (10,000 – 15,000 neural nets) @ Hugo de Garis

3-D neural chip for better visualization @ CalTech


Bio inspired autonomously reconfigurable mechanism

Bio-inspired Autonomously Reconfigurable Mechanism

Autonomous

Reconfigurability

Topology Adaptation

Redundancy

(Picture Source: “Brain Injury: Recovery” in Psychology Wiki)


Autonomously reconfigurable ann

Autonomously Reconfigurable ANN

µController

Run-Time Reconfiguration Controller

Flash Memory

Coarse-grained Reconfiguration Bitstream Database

Error Scale

and Location

Mask-Based

Topology Adaption

New topology

Error Detection

Request

Coarse-/Fine-Grained Hybrid Reconfiguration

Request

Current ANN Configuration

Fine-grained

Reconfiguration

Bitstream

Coarse-grained

Reconfiguration

Bitstream

Data Traffic

Select/Merge Bitstreams

New Configuration

Inputs

Sensors/

Database

Autonomously Reconfigurable ANN (ARANN) Based Medical Processing Platforms

Outputs

Diagnosis/

Controllers


Virtual physical neuron mapping

Virtual-physical Neuron Mapping

Neural Topology

Physical Neurons

Virtual-to-Physical

(V2P)

Neuron Mapping

Connectionism Evolvement

(Fine-grained)

=

Topology

Adaptation

(Coarse-grained)

+

Autonomous ANN


Mask based topology adaptation

Mask-based Topology Adaptation


Waci conclusion

WACI Conclusion

  • Systems are increasingly vulnerable to unexpected faults and defects, especially for emerging biomedical systems.

  • Non-invasive autonomous reconfigurability is promising, particularly for ANN-based biomedical platforms.

  • Autonomously adapting ANN’s behaviors and structures, both algorithmically and microarchitecturally.

    • Neuron Virtualizationhelps to decouple the fault scale and reduce the reconfiguration latency (idle time).

    • Mask-based Topology Adaptation can achieve significant reduction of design complexity and spatial overhead.


Thanks for listening

Thanks for Listening

Questions?

(This work is supported by NSF No. 0832990)


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