ImplantBench: Characterizing and projecting representative benchmarks for emerging bioimplantable computing

Zhanpeng Jin; Allen C. Cheng

doi:10.1109/MM.2008.55

ImplantBench: Characterizing and projecting representative benchmarks for emerging bioimplantable computing

Zhanpeng Jin
, Allen C. Cheng

Department of Computer Science and Engineering

University of Pittsburgh

Research output: Contribution to journal › Article › peer-review

6 Scopus citations

Abstract

Healthcare will advance dramatically when micro- and nanoscale computing chips, implanted in the human body, can assist digitally in clinical diagnosis and therapy. To design and engineer the necessary processor and accelerator architectures, computer architects must first understand the current and potential workloads. ImplantBench, the first attempt at a representative workload taxonomy, includes realistic, full-blown workloads spanning security, reliability, bioinformatics, genomics, physiology, and heart activity.

Original language	English
Pages (from-to)	71-91
Number of pages	21
Journal	IEEE Micro
Volume	28
Issue number	4
DOIs	https://doi.org/10.1109/MM.2008.55
State	Published - 2008

Keywords

Benchmark testing
Computer architecture
Computers
Implants
Presses
Reliability
Security

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10.1109/MM.2008.55

Cite this

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KW - Presses

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ImplantBench: Characterizing and projecting representative benchmarks for emerging bioimplantable computing

Abstract

Keywords

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