Due to its potential to greatly accelerate a wide variety of applications, reconfigurable computing has become a subject of a great deal of research. Its key feature is the ability to perform computations in hardware to increase performance, while retaining much of the flexibility of a software solution. In this survey, we explore the hardware aspects of reconfigurable computing machines, from single chip architectures to multi-chip systems, including internal structures and external coupling. We also focus on the software that targets these machines, such as compilation tools that map high-level algorithms directly to the reconfigurable substrate. Finally, we consider the issues involved in run-time reconfigurable systems, which reuse the configurable hardware during program execution.

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Reconfigurable computing: a survey of systems and software

The main characteristic of Reconfigurable Computing is the presence of hardware that can be reconfigured to implement specific functionality more suitable for specially tailored hardware than on a simple uniprocessor. Reconfigurable computing systems join microprocessors and programmable hardware in order to take advantage of the combined strengths of hardware and software and have been used in applications ranging from embedded systems to high performance computing. Many of the fundamental theories have been identified and used by the Hardware/Software Co-Design research field. Although the same background ideas are shared in both areas, they have different goals and use different approaches.This book is intended as an introduction to the entire range of issues important to reconfigurable computing, using FPGAs as the context, or "computing vehicles" to implement this powerful technology. It will take a reader with a background in the basics of digital design and software programming and provide them with the knowledge needed to be an effective designer or researcher in this rapidly evolving field.

· Treatment of FPGAs as computing vehicles rather than glue-logic or ASIC substitutes
· Views of FPGA programming beyond Verilog/VHDL
· Broad set of case studies demonstrating how to use FPGAs in novel and efficient ways

Reconfigurable Computing: The Theory and Practice of FPGA-Based Computation

VLSI Test Principles and Architectures: Design for Testability (Systems on Silicon)

This book is a comprehensive guide to new DFT methods that will show the readers how to design a testable and quality product, drive down test cost, improve product quality and yield, and speed up time-to-market and time-to-volume.

· Most up-to-date coverage of design for testability. 
· Coverage of industry practices commonly found in commercial DFT tools but not discussed in other books. 
· Numerous, practical examples in each chapter illustrating basic VLSI test principles and DFT architectures.
· Lecture slides and exercise solutions for all chapters are now available.
· Instructors are also eligible for downloading PPT slide files and MSWORD solutions files from the manual website.

Table of Contents

Chapter 1 - Introduction
Chapter 2 - Design for Testability
Chapter 3 - Logic and Fault Simulation 
Chapter 4 - Test Generation 
Chapter 5 - Logic Built-In Self-Test
Chapter 6 - Test Compression
Chapter 7 - Logic Diagnosis
Chapter 8 - Memory Testing and Built-In Self-Test
Chapter 9 - Memory Diagnosis and Built-In Self-Repair
Chapter 10 - Boundary Scan and Core-Based Testing
Chapter 11 - Analog and Mixed-Signal Testing
Chapter 12 - Test Technology Trends in the Nanometer Age

VLSI Test Principles and Architectures: Design for Testability

The paper describes architectural enhancements to Xilinx FPGAs that provide better support for the creation of dynamically reconfigurable designs. These are augmented by a new design methodology that uses pre-routed IP cores for communication between static and dynamic modules and permits static designs to route through regions otherwise reserved for dynamic modules. A new CAD tool flow to automate the methodology is also presented. The new tools initially target the Virtex-II, Virtex-II Pro and Virtex-4 families and are derived from Xilinx's commercial CAD tools

Invited Paper: Enhanced Architectures, Design Methodologies and CAD Tools for Dynamic Reconfiguration of Xilinx FPGAs

In this paper we present an on-line, multi-level fault tolerant (FT) technique for system functions and applications mapped to partially and dynamically reconfigurable FPGAs. Our method is based on the roving self testing areas (STARs) fault detection/location strategy presented in Abramovici et al. (1999). In STARs, the area under test uses partial reconfiguration properties to modify the configuration of the area under test without affecting the configuration of the system function and dynamic reconfiguration properties to allow uninterrupted execution of the system function while reconfiguration takes place. In this paper we take this one step further. Once a fault (or multiple faults) is detected we dynamically reconfigure the working area application around the fault with no additional system function interruption (other than the interruption when a STAR moves to a new location). We also apply the concept of partially usable blocks to increase fault tolerance. Our method has been successfully implemented and demonstrated on the ORCA 2CA series FPGAs from Lucent Technologies.

Dynamic fault tolerance in FPGAs via partial reconfiguration

Most adaptive computing systems use reconfigurable hardware in the form of field programmable gate arrays (FPGAs). For these systems to be fielded in harsh environments where high reliability and availability are a must, the applications running on the FPGAs must tolerate hardware faults that may occur during the lifetime of the system. In this paper, we present new fault-tolerant techniques for FPGA logic blocks, developed as part of the roving self-test areas (STARs) approach to online testing, diagnosis, and reconfiguration . Our techniques can handle large numbers of faults (we show tolerance of over 100 logic faults via actual implementation on an FPGA consisting of a 20 times 20 array of logic blocks). A key novel feature is the reuse of defective logic blocks to increase the number of effective spares and extend the mission life. To increase fault tolerance, we not only use nonfaulty parts of defective or partially faulty logic blocks, but we also use faulty parts of defective logic blocks in nonfaulty modes. By using and reusing faulty resources, our multilevel approach extends the number of tolerable faults beyond the number of currently available spare logic resources. Unlike many column, row, or tile-based methods, our multilevel approach can tolerate not only faults that are evenly distributed over the logic area, but also clusters of faults in the same local area. Furthermore, system operation is not interrupted for fault diagnosis or for computing fault-bypassing configurations. Our fault tolerance techniques have been implemented using ORCA 2C series FPGAs which feature incremental dynamic runtime reconfiguration

Online Fault Tolerance for FPGA Logic Blocks

A wide range of fault tolerance methods for FPGAs have been proposed. Approaches range from simple architectural redundancy to fully on-line adaptive implementations. The applications of these methods also differ; some are used only for manufacturing yield enhancement, while others can be used in-system. This survey attempts to provide an overview of the current state of the art for fault tolerance in FPGAs. It is assumed that faults have been previously detected and diagnosed; the methods presented are targeted towards tolerating the faults. A detailed description of each method is presented. Where applicable, the methods are compared using common metrics. Results are summarized to present a succinct, comprehensive comparison of the different approaches.

A survey of fault tolerant methodologies for FPGAs

We present an integrated approach to on-line FPGA testing, diagnosis and fault tolerance, to be used in high-reliability and high-availability hardware. The testing and diagnostic process takes place in Self-Testing AReas (STARs) of the FPGA, without disturbing the normal system operation. The entire chip is tested by roving the STARs across the FPGA. Our approach guarantees complete testing of both logic cells and interconnect with maximum diagnostic resolution. Our multi-level fault-tolerant technique allows using partially defective logic and routing resources for normal operation, providing longer mission life in the presence of faults. In addition, our dynamic fault-tolerant method ensures that spare resources are always present in the neighborhood of the located fault, thus simplifying fault-bypassing. Our complete method has been successfully implemented and demonstrated on the ORCA 2CA series FPGAs from Lucent Technologies.

Roving STARs: an integrated approach to on-line testing, diagnosis, and fault tolerance for FPGAs in adaptive computing systems

We present the first online built-in self-test (BIST) and BIST-based diagnosis of programmable logic resources in field-programmable gate arrays (FPGAs). These techniques were implemented and used in a roving self-testing areas (STARs) approach to testing and reconfiguration of FPGAs for fault-tolerant applications. The BIST approach provides complete testing of the programmable logic blocks (PLBs) in the FPGA during normal system operation. The BIST-based diagnosis can identify any group of faulty PLBs, then applies additional diagnostic configurations to identify the faulty look-up table or flip-flop within a faulty PLB. The ability to locate defective modules inside a PLB enables a new form of fault-tolerance that reuses partially defective PLBs in their fault-free modes of operation.

John M. Emmert

Papers

Dynamic fault tolerance in FPGAs via partial reconfiguration

Online Fault Tolerance for FPGA Logic Blocks

A survey of fault tolerant methodologies for FPGAs

Roving STARs: an integrated approach to on-line testing, diagnosis, and fault tolerance for FPGAs in adaptive computing systems

Online BIST and BIST-based diagnosis of FPGA logic blocks