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Research Interests of David Andrews: Advancements in Embedded Systems and Computer Architecture

Dr. David Andrews specializes in parallel and distributed embedded systems with extensive experience in chip, board, and system design. His work spans both space and underwater applications, focusing on advanced signal processing and communication systems. Notable projects include contributions to the Strategic Defense Initiative and AWACS redesign. His current research interests include networked embedded systems, dynamic data operations, and innovative computing paradigms. He emphasizes the integration of memory and processing, exploring future architectures for real-time operations.

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Research Interests of David Andrews: Advancements in Embedded Systems and Computer Architecture

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  1. Research Interests David Andrews dandrews@ittc.ukans.edu Rm. 324 Nichols 864-7743

  2. Agenda • Background • Research Interests

  3. Background • Research Engineer • General Electric Electronics Laboratory • R & D For GE’s Aerospace Business Group • Area: Parallel And Distributed Embedded Systems • Expertise: Chip/Board/System (Architecture&Algorithm) Design • Space Based, Ground Based, Underwater • Signal Processing, Communications Systems • Projects: • Strategic Defense Initiative (SDI) • AWACS Re-Design • First Dual Fetch RISC CPU • Underwater Systems Division • Systems Architecture, Operating System For Seawolf Submarine

  4. Background • University of Arkansas • Architecture • Parallel Processing Systems • Systems: Image/Data/Signal Processing • SIMD Arrays, Systolic Arrays, Multiprocessors • Database Accelerator: FPGA Accelerator • Component Research • CPU: Processor In Memory (PIM) • CPU Core Integrated With DRAM • Reconfigurable Processing • Cache: Redesign Caching • Multichip Modules (MCM) • Systems On A Package • Administrative Duties

  5. Current Interests • Networked Embedded Systems • Large Real Time Systems • Heterogeneous “Parallel” Nodes • Node Architectures • Computing Paradigms • Computer Architecture • Data Intensive Architectures • Scalar, Parallel • CPU Cores, Caches • Asynchronous Systems, Optical Systems • Future Paradigms

  6. Networked Embedded Systems • Autonomous “networked” Embedded Systems • Embedded Systems Much More Than Closed Loop Periodic Systems • Dynamic Operation of Real Time Networks • Network Key To New Embedded Systems • Data Sharing/Service Co-ordination • System Resource Management • Dynamic Workloads • Fault Detection/Location • Things break • Models For Data Acquisition and Transfer • Very Dynamic Data Transmission Requirements • Variable Communications Bandwidth Requirements • Buffering

  7. Example Autonomous System

  8. Computer Architecture • General Movement to Systems On A Chip • Integration of Analog/Digital • Data Intensive Architectures • Processor In Memory Approach • D-Base, Multimedia Applications • Low Level Communications • Future Paradigms • Instruction Set Architecture (ISA) Definition • “old” ISA is well… Old…. Von Neumann Load/Store • Asynchronous Paradigm Is Also Interesting

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