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Tirumale K Ramesh, Ph.D. Boeing Associate Technical Fellow Senior Member, IEEE tkramesh@ieee

Reconfigurable Computing After a Decade: A New Perspective and Challenges For Hardware-Software Co-Design and Development. Tirumale K Ramesh, Ph.D. Boeing Associate Technical Fellow Senior Member, IEEE tkramesh@ieee.org Northern Virginia Chapter IEEE Computer Society Meeting April 14, 2005.

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Tirumale K Ramesh, Ph.D. Boeing Associate Technical Fellow Senior Member, IEEE tkramesh@ieee

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  1. Reconfigurable Computing After a Decade: A New Perspective and Challenges For Hardware-Software Co-Design and Development Tirumale K Ramesh, Ph.D. Boeing Associate Technical Fellow Senior Member, IEEE tkramesh@ieee.org Northern Virginia Chapter IEEE Computer Society Meeting April 14, 2005

  2. Outline • What is and Why Reconfiguration? • Applications • Architecture in the past • New Architecture Trends • Hardware-Software Co-Design and Development • Future NoVA Chapter IEEE Computer Society Meeting- April 14, 2005

  3. What is Reconfiguration ? • The ability to change the hardware entity as warranted by an application. This is an emerging field that blurs the traditional boundaries between hardware and software. • Who will like Reconfigurable Computing ? • One who enjoys real-time design and applicationsOne with a pioneering spirit to learn more on software and knowledgeable about hardware (or vice versa)One who likes to produce a challenging hardware/software solutions to an application NoVA Chapter IEEE Computer Society Meeting- April 14, 2005

  4. Why Reconfigurable Hardware? • The one-to-one match of application to a fixed architecture is difficult and we cannot achieve high throughput • Greater functionality can be achieved with a reconfigurable logic • Lower system cost • Evaluate in terms of lifetime system costs to determine the savings • The ability to provide for high fault tolerance in the system • Reduced time-to-market • Flexible logic and on-the field reprogrammable NoVA Chapter IEEE Computer Society Meeting- April 14, 2005

  5. Applications • Defense, Aerospace & Automotive Electronics • Hybrid Supercomputing for Scientific Applications • Hybrid Embedded Computing • Hardware Accelerators • High-data stream applications-Massive Reconfigurable Arrays • Image and Signal Processing NoVA Chapter IEEE Computer Society Meeting- April 14, 2005

  6. Types of Reconfiguration • Processor Reconfiguration • Changing the internal hardware capabilities(Data Path- Word size, Pipelining, Communication among Multiple Data Path Units, etc.) • Communication Reconfiguration • A set of communication channels provided in run-time for a pair of processors • Control Reconfiguration • Changes the way in which instructions streams are processed on a processor (SIMD, MIMD, MSIMD) NoVA Chapter IEEE Computer Society Meeting- April 14, 2005

  7. Architecture in the past • FPGA logic used more as a logic glue and also for replacing multiple chips and for reducing the chip count • Fine-grain logic • Not much run-time reconfigurable capability were available • All designs were done at low level (VHDL) • Very limited abstraction at system level • Minimal Tools support • Used Multiple FPGAs to gain more logic due to device density limitations NoVA Chapter IEEE Computer Society Meeting- April 14, 2005

  8. New Architectural Trends • Coarse-grain architectures • Large IP building blocks • Reconfigurable Processor Units(RPU) • Custom Interfaces • Highly parallel processing elements • Morphware Accelerators- Data Stream Engines • Coarse-grain data paths units configured as high-level parallelism similar to ILP by using Configware to program the resources and Flowware to program the data streams running through the resources. • Distributed adaptive boards (FPGA based) • Single API for Distributed ACS -Single high level host program in C or C++ with networking code for interaction of multiple boards NoVA Chapter IEEE Computer Society Meeting- April 14, 2005

  9. Hardware-Software Co-Design and Development • Cooperative design of hardware and software • Co design shortens time-to-market due to use of flexible software and enhancing performance via specific hardware as necessary • Reconfigurable hardware adds to flexibility as design changes can be made on the field • Less expensive than ASIC • Co-design is an interdisciplinary activity • System level modeling • Hardware and software design NoVA Chapter IEEE Computer Society Meeting- April 14, 2005

  10. Hardware-Software Co-Design Flow System Spec Cost Analysis & Estimation HW/SW Partitioning HW Spec SW Spec Synthesis Compile Simulation and/or Emulation Design Verification Design Not Met NoVA Chapter IEEE Computer Society Meeting- April 14, 2005

  11. HW/SW Co-Design of Embedded Reconfigurable Systems • Integrating COTS processor, ASIC and Programmable Logic on a single platform System Arch and Performance Profiling COTS Processor Reconfigurable Processor HW/SW Partitioning On-chip RAM HW Synthesis Compiler FPGA bit streams NoVA Chapter IEEE Computer Society Meeting- April 14, 2005

  12. HW/SW Partitioning in Reconfigurable Systems • FPGA Perform Processing Both in Space and Time • Space- Refers to Physical Implementation of different functionality in vast hardware resources (parallel processing) • Time-FPGA can be reconfigured at various steps of the application algorithm to instantiate different architectures at different run times(dynamic) • Partitioning needs to account for both spatial and time domains NoVA Chapter IEEE Computer Society Meeting- April 14, 2005

  13. Key Design Requirements • Speed of Reconfiguration • Atleast close to the speed of execution • Speed, size and density • >100 MHZ, >8M Logic gates • Memory interfaces • Support high-data stream- data stream memories with fast access time • Development Tools • Automatic mapping and compiling • Integration into low level design synthesis tools NoVA Chapter IEEE Computer Society Meeting- April 14, 2005

  14. System-on-a chip • Integrating COTS processor, ASIC and Programmable Logic on a single die Development Tools and Methodologies ASIC Core COTS Processor Simulation/ Emulation Boards FPGA Core Mixed-Signal Cores Silicon Processing Test and Validate NoVA Chapter IEEE Computer Society Meeting- April 14, 2005

  15. HW/SW Co-Design Languages/Tools • Adapting high level languages • SpecC- extension of ANSI-C • Support embedded systems design, including behavioral and structural hierarchy • Targeted for system-level design language intended for spec and architectural modeling though developed for synthesis and verification in mind • HardwareC-Uniformly incorporates both functionality and design constraints • SystemC-Uses C++ class libraries and a simulation kernel for creating behavioral and RTL designs NoVA Chapter IEEE Computer Society Meeting- April 14, 2005

  16. HW/SW Co-Design and Development-System Languages/Tools(Continued) • Java based approaches • JHDL- Java to RTL Compiler runs Java into synthesizable HDL code • UML- System level modeling • Extend UML to apply them as high level models working with other languages • UML profile for SystemC- a language that enables specify, analyze, design, construct, view SW and HW artifacts in a SoC design flow NoVA Chapter IEEE Computer Society Meeting- April 14, 2005

  17. HW/SW Co-Design and Development-System Languages/Tools (Continued) • Extending HDL Languages • System Verilog- Blends Verilog, C/C++ • An extension to IEEE 1364-2001 Verilog • Supports interfaces that allow module connections at a high level of abstraction • SuperLog • Verilog superset that includes constructs from C • Verliog 2001 and SuperLog at two ends of the spectrum • Utilizes power of C with the simplicity of Verilog for a very productive design process NoVA Chapter IEEE Computer Society Meeting- April 14, 2005

  18. Algorithm/Data Flow Tools • MATLAB to FPGA Design IP Core Instantiation • Xilinx DSP Sys Gen • Khorus- Data Flow Tool for Image Processing • Ptolomey- Graphical Entry Tool for System Level Design NoVA Chapter IEEE Computer Society Meeting- April 14, 2005

  19. Future • System-on-a chip (SoC) to gain more logic, performance and low cost and power advantages • Use of more Modular Block Architectures at the device level- Ex: Xilinx ASMBL • Domain-specific block pre-fabricated with mixture of processors, peripherals, and other special interfaces to support different application domains • Use of advanced packaging technology and flexible placement of on power and ground • More Use of Parallel Processing techniques and FPGA architectures for both spatial and time domain mapping NoVA Chapter IEEE Computer Society Meeting- April 14, 2005

  20. Future • Mix and match of Parameterized and Custom blocks • High Level Abstraction Tools with integration to low level tools for optimum design process • Use of XML for Configuration of processors and to specify the targeted hardware devices • Allows for adding application-specific instructions to a processor NoVA Chapter IEEE Computer Society Meeting- April 14, 2005

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