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Tosiron Adegbija is an assistant professor of electrical and computer engineering whose research falls in the broad area of computer architecture, with an emphasis on adaptable computing, low-power embedded systems design and optimization methodologies, and microprocessor optimizations for the Internet of Things, or IoT. During the summer of 2014 he was a research associate with Hewlett-Packard, or HP, Labs, during which he researched right-provisioned computer architectures for the IoT. He received his doctorate and master's degrees in electrical and computer engineering from the University of Florida in 2015 and 2011, respectively, and a bachelor's degree in electrical engineering from the University of Ilorin, Nigeria in 2005. He is a member of the Institute of Electrical and Electronics Engineers and the Association for Computing Machinery.

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Courses
  • ESDO
    Embedded System Design and Optimization

  • DL
    Digital Logic

  • CALD
    Computer-Aided Logic Design

  • CAD
    Computer Architecture and Design

Grants
  • Funding agency logo
    Inter-Architecture Portability of Deep Neural Network and Side Channel Attack

    Principal Investigator (PI)

    2021

    $47.7K
    Active
  • Funding agency logo
    CAREER: Advancing STTRAM Caches for Runtime Adaptable and Energy-Efficient Microarchitectures

    Principal Investigator (PI)

    2019

    $532.0K
    Active
  • Funding agency logo
    CSR:Medium:Unified Modeling and Synthesis for Application-specific Systems-on-a-chip

    Principal Investigator (PI)

    2016

    $300.0K
News
  • Making Computers, Mobile Devices More Energy-Efficient

    2019

Publications (46)
Recent
  • DIALECT: A Methodology for Generating Domain-Specific Accelerators for Edge Computing

    2021

  • Energy characterization of graph workloads

    2021

  • Exploring Domain-Specific Architectures for Energy-Efficient Wearable Computing

    2020

  • Biomimetic Middleware Design Principles for IoT Infrastructures

    2020

  • A Study of Runtime Adaptive Prefetching for STTRAM L1 Caches

    2020

  • ECG-Based Authentication Using Timing-Aware Domain-Specific Architecture

    2020

  • SCART: Predicting STT-RAM Cache Retention Times Using Machine Learning

    2019

  • Energy-Efficient Runtime Adaptable L1 STT-RAM Cache Design

    2019

  • Right-Provisioned IoT Edge Computing: An Overview

    2019

  • Energy and Performance Analysis of STTRAM Caches for Mobile Applications

    2019

  • Evaluating Design Space Subsetting for Multi-Objective Optimization in Configurable Systems

    2019

  • MirrorCache: An Energy-Efficient Relaxed Retention L1 STTRAM Cache

    2019

  • Advancing STTRAM Caches for Runtime Adaptable Energy- Efficient Microarchitectures

    2019

  • Bit-wise and Multi-GPU Implementations of DNA Recombination Algorithm

    2019

  • CONDENSE: A Moving Target Defense Approach for Mitigating Cache Side Channel Attacks

    2019

  • A Survey of Phase Classification Techniques for Characterizing Variable Application Behavior

    2019

  • ARC: DVFS-Aware Asymmetric-Retention STT-RAM Caches for Energy-Efficient Multicore Processors

    2019

  • HALLS: A Highly Adaptable Last Level STT-RAM Cache Architecture

    2019

  • Performance Characterization of IoT Processors: A Tale of an ARM and an Atom

    2018

  • A Workload Characterization of the SPEC CPU2017 Benchmark Suite

    2018

  • HERMIT: A Benchmark Suite for the Internet of Medical Things

    2018

  • COCAINE: Low-Overhead Cache Side Channel Security Using Reconfigurable Caches

    2018

  • LARS: Logically Adaptable Retention Time STT-RAM Cache for Embedded Systems

    2018

  • AMELIA: An Application of the Internet of Things for Aviation Safety

    2018

  • Modular Electronics for Broadening Non-Expert Participation in STEM Innovation: An IoT Perspective

    2018

  • A Workload Characterization for the Internet of Medical Things (IoMT)

    2017

  • Application-Specific Autonomic Cache Tuning for General Purpose GPUs

    2017

  • AMELIA: a prototype example for edge computing on the Internet of Things

    2017

  • PhLock: A Cache Energy Saving Technique Using Phasebased Cache Locking

    2017

  • Coding for efficient caching in multicore embedded systems

    2017

  • PACT: Priority-Aware Phase-based Cache Tuning for Embedded Systems

    2017

  • TaPT: Temperature-Aware Dynamic Cache Optimization for Embedded Systems

    2017

  • Exploiting configurability as a defense against cache side channel attacks

    2017

  • Phase-based Dynamic Instruction Window Optimization for Embedded Systems

    2016

  • Microprocessor Optimizations for the Internet of Things: A Survey

    2016

  • Exploring Non-Volatile Memory-based Caches for Energy-Efficient Embedded Systems

    2016

  • Enabling Right- Provisioned Microprocessor Architectures for the Internet of Things

    2015

  • Phase-based Cache Locking for Embedded Systems

    2015

  • Analysis of cache tuner architectural layouts for multicore embedded systems

    2014

  • Thermal-aware phase-based tuning of embedded systems

    2014

  • Dynamic Phase-based Optimization of Embedded Systems

    2014

  • Phase distance mapping: a phase-based cache tuning methodology for embedded systems

    2014

  • Energy-efficient phase-based cache tuning for multimedia applications in embedded systems

    2014

  • Exploring the tradeoffs of configurability and heterogeneity in multicore embedded systems

    2013

  • Exploiting dynamic phase distance mapping for phase-based tuning of embedded systems

    2013

  • Dynamic phase-based tuning for embedded systems using phase distance mapping

    2012

Grants
Citations
H-Index
Patents
News
Books
Opportunities