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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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 Neural Network Based Medical Platforms

(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 Network Based Medical Platforms

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 Neural Network Based Medical Platforms

Autonomous

Reconfigurability

Topology Adaptation

Redundancy

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


Autonomously reconfigurable ann
Autonomously Reconfigurable ANN Neural Network Based Medical Platforms

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 Network Based Medical Platforms

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 Neural Network Based Medical Platforms


Waci conclusion
WACI Conclusion Neural Network Based Medical Platforms

  • 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 Neural Network Based Medical Platforms

Questions?

(This work is supported by NSF No. 0832990)


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