In embedded systems, modeling the performance of the candidate processor architectures is very important to enable the designer to estimate the capability of each architecture against the target application. Considering the large number of available embedded processors, the need has increased for building an infrastructure by which it is possible to estimate the performance of a given application on a given processor with a minimum of time and resources. This dissertation presents a framework that employs the softcore MicroBlaze processor as a reference architecture where FPGA-based profiling is implemented to extract the functional statistics that characterize the target application. Linear regression analysis is implemented for mapping the functional statistics of the target application to the performance of the candidate processor architecture. Hence, this approach does not require running the target application on each candidate processor; instead, it is run only on the reference processor which allows testing many processor architectures in very short time.

In order to accelerate logic simulation, it is highly beneficial to simulate the circuit design on FPGA hardware. However, limited hardware resources on FPGAs prevent large designs from being implemented on a single FPGA. Hence there is a need to partition the design and simulate it on a multi-FPGA platform. In contrast to existing FPGA-based post-synthesis partitioning approaches which first completely flatten the circuit and then possibly perform bottom-up clustering, we perform a selective top-down flattening and thereby avoid the potential netlist blowup. This also allows us to preserve the design hierarchy to guide the partitioning and to make subsequent debugging easier. Our approach analyzes the hierarchical design and selectively flattens instances using two metrics based on slack. The resulting partially flattened netlist is converted to a hypergraph, partitioned using a public domain partitioner (hMetis), and reconverted back to a plurality of FPGA netlists, one for each FPGA of the FPGA-based accelerated logic simulation platform. We compare our approach with a partitioning approach that operates on a completely flattened netlist. Static timing analysis was performed for both approaches, and over 15 examples from the OpenCores project, our approach yields a 52% logic simulation speedup and about 0.74x runtime for the entire flow, compared to the completely flat approach. The entire tool chain of our approach is automated in an end-to-end flow from hierarchy extraction, selective flattening, partitioning, and netlist reconstruction. Compared to an existing method which also performs slack-based partitioning of a hierarchical netlist, we obtain a 35% simulation speedup.

<p>The Stressometer system is a measurement and control system used in cold rolling to improve the flatness of a metal strip. In order to achieve this goal the system employs a multiple input multiple output (MIMO) control system that has a considerable number of sensors and actuators. As a consequence the computational load on the Stressometer control system becomes very high if too advance functions are used. Simultaneously advances in rolling mill mechanical design makes it necessary to implement more complex functions in order for the Stressometer system to stay competitive. Most industrial players in this market considers improved computational power, for measurement, control and modeling applications, to be a key competitive factor. Accordingly there is a need to improve the computational power of the Stressometer system. Several different approaches towards this objective have been identified, e.g. exploiting hardware parallelism in modern general purpose and graphics processors.</p><p>Another approach is to implement different applications in FPGA-based hardware, either tailored to a specific problem or as a part of hardware/software co-design. Through the use of a hardware/software co-design approach the efficiency of the Stressometer system can be increased, lowering overall demand for processing power since the available resources can be exploited more fully. Hardware accelerated platforms can be used to increase the computational power of the Stressometer control system without the need for major changes in the existing hardware. Thus hardware upgrades can be as simple as connecting a cable to an accelerator platform while hardware/software co-design is used to find a suitable hardware/software partition, moving applications between software and hardware.</p><p>In order to determine whether this hardware/software co-design approach is realistic or not, the feasibility of implementing simulator, computational and control applications in FPGAbased hardware needs to be determined. This is accomplished by selecting two specific applications for a closer study, determining the feasibility of implementing a Stressometer measuring roll simulator and a parallel Cholesky algorithm in FPGA-based hardware.</p><p>Based on these studies this work has determined that the FPGA device technology is perfectly suitable for implementing both simulator and computational applications. The Stressometer measuring roll simulator was able to approximate the force and pulse signals of the Stressometer measuring roll at a relative modest resource consumption, only consuming 1747 slices and eight DSP slices. This while the parallel FPGA-based Cholesky component is able to provide performance in the range of GFLOP/s, exceeding the performance of the personal computer used for comparison in several simulations, although at a very high resource consumption. The result of this thesis, based on the two feasibility studies, indicates that it is possible to increase the processing power of the Stressometer control system using the FPGA device technology.</p>

The Stressometer system is a measurement and control system used in cold rolling to improve the flatness of a metal strip. In order to achieve this goal the system employs a multiple input multiple output (MIMO) control system that has a considerable number of sensors and actuators. As a consequence the computational load on the Stressometer control system becomes very high if too advance functions are used. Simultaneously advances in rolling mill mechanical design makes it necessary to implement more complex functions in order for the Stressometer system to stay competitive. Most industrial players in this market considers improved computational power, for measurement, control and modeling applications, to be a key competitive factor. Accordingly there is a need to improve the computational power of the Stressometer system. Several different approaches towards this objective have been identified, e.g. exploiting hardware parallelism in modern general purpose and graphics processors. Another approach is to implement different applications in FPGA-based hardware, either tailored to a specific problem or as a part of hardware/software co-design. Through the use of a hardware/software co-design approach the efficiency of the Stressometer system can be increased, lowering overall demand for processing power since the available resources can be exploited more fully. Hardware accelerated platforms can be used to increase the computational power of the Stressometer control system without the need for major changes in the existing hardware. Thus hardware upgrades can be as simple as connecting a cable to an accelerator platform while hardware/software co-design is used to find a suitable hardware/software partition, moving applications between software and hardware. In order to determine whether this hardware/software co-design approach is realistic or not, the feasibility of implementing simulator, computational and control applications in FPGAbased hardware needs to be determined. This is accomplished by selecting two specific applications for a closer study, determining the feasibility of implementing a Stressometer measuring roll simulator and a parallel Cholesky algorithm in FPGA-based hardware. Based on these studies this work has determined that the FPGA device technology is perfectly suitable for implementing both simulator and computational applications. The Stressometer measuring roll simulator was able to approximate the force and pulse signals of the Stressometer measuring roll at a relative modest resource consumption, only consuming 1747 slices and eight DSP slices. This while the parallel FPGA-based Cholesky component is able to provide performance in the range of GFLOP/s, exceeding the performance of the personal computer used for comparison in several simulations, although at a very high resource consumption. The result of this thesis, based on the two feasibility studies, indicates that it is possible to increase the processing power of the Stressometer control system using the FPGA device technology.

No description available.

<p>The principle of universal shipborne automatic identification system (AIS) is to allow automatic exchange of shipboard information between one vessel and another. Saab TransponderTech AB has an operating AIS transponder on the market and the purpose of this report is to investigate alternative technologies that could result in a highly integrated replacement for the existing hardware. </p><p>Design aspects of a system-on-chip are discussed, such as: available system-on- chip technologies, intellectual property, on-chip bus structures and development tools. This information is applied to the existing hardware and the integration possibilities of the various parts of the AIS transponder is investigated. </p><p>The focus will be on two main transponder parts that are possible to replace with highly integrated circuits. The first of these parts is the so-called digital part where system-on-chip platforms for different technologies have been investigated with a special interest in a highly integrated FPGA implementation. The second part is the radio frequency receivers where alternatives to the existing superheterodyne receiver are discussed. </p><p>The conclusion drawn is that there exist technologies for developing a highly integrated AIS transponder. An attractive highly integrated transponder could consist of a FPGA system-on-chip platform with subsampling digital receivers and additional components that are unsuitable for integration.</p>

The principle of universal shipborne automatic identification system (AIS) is to allow automatic exchange of shipboard information between one vessel and another. Saab TransponderTech AB has an operating AIS transponder on the market and the purpose of this report is to investigate alternative technologies that could result in a highly integrated replacement for the existing hardware. Design aspects of a system-on-chip are discussed, such as: available system-on- chip technologies, intellectual property, on-chip bus structures and development tools. This information is applied to the existing hardware and the integration possibilities of the various parts of the AIS transponder is investigated. The focus will be on two main transponder parts that are possible to replace with highly integrated circuits. The first of these parts is the so-called digital part where system-on-chip platforms for different technologies have been investigated with a special interest in a highly integrated FPGA implementation. The second part is the radio frequency receivers where alternatives to the existing superheterodyne receiver are discussed. The conclusion drawn is that there exist technologies for developing a highly integrated AIS transponder. An attractive highly integrated transponder could consist of a FPGA system-on-chip platform with subsampling digital receivers and additional components that are unsuitable for integration.

A new design methodology that produces hardware solutions for performing real-time image processing is presented here. This design methodology provides significant advantages over traditional hardware design approaches by translating real-time image processing tasks into the gate-level resources of programmable logic-based hardware architectures. The use of programmable logic allows high-performance solutions to be realized with very efficient utilization of available logic and interconnection resources. These implementations provide comparable performance at a lower cost than other available programmable logic-based hardware architectures. This new design methodology is based on two components: a programmable logic-based destination hardware architecture and a suite of development system software. The destination hardware architecture is a Custom Computing Machine (CCM) that contains multiple Field Programmable Gate Array (FPGA) chips. FPGA chips provide gate-level programmability for the hardware architecture. Sophisticated software development tools, called the TRAVERSE development system software, are created to overcome the significant amount of time and expertise required to manually utilize this gate-level programmability. The new hardware architecture and development system software combine to establish a unique design methodology. There are several distinct contributions provided by this dissertation. The new flexible MORRPH hardware architecture provides a more efficient solution for creating real-time image processing computing machines than current commercial hardware architectures. The TRAVERSE development system software is the first integrated development system specifically for creating real-time image processing designs with multiple FPGA-based CCMs. New standards and design conventions are defined specifically for creating solutions to low-level image processing tasks, using the MORRPH architecture for verification. The circuit partitioning and global routing programs of the TRAVERSE development system software enable automated translation of image processing designs into the resources of multiple FPGA chips in the hardware architecture. In a broad sense, the individual contributions of this dissertation combine to create a new design methodology that will change the way hardware solutions are created for real-time image processing in the future. / Ph. D.

The digitization of classical control systems presents a number of challenges and opportunities with respect to the miniaturization, distribution, reliability verification and obsolescence of both the controller and the underlying system under control. A method for the design of proportional-integral-derivative (PID) compensators realized in the form of all-digital components is presented. All-digital refers to a system implementation that is realizable with a wide range of digital logic components including discrete digital logic elements and programmable logic devices (PLDs) such as field-programmable gate arrays. The proportional, integral and derivative components of the classical PID control law were re-envisioned in terms of frequency of occurrences or counts for adaptation to combinatorial and sequential digital logic. Modification of the control scheme around this newly formed representation of system error enables the development of a PID-like FPGA-based or PLD-based controller. Details of the design of an all-digital PID-like controller including abstract, causal block diagrams and a MATLAB® and Simulink® based implementation are presented. The compensator was simulated in a velocity tracking DC motor control application and was found to perform comparably to that of a classical PID based control. Methods for assessing the resultant stability of an all-digital PID compensated system under control are discussed.

Methods for Extending High-Performance Automated Test Equipment (ATE) using Multi-Gigahertz FPGA Technologies Ashraf M. Majid 264 Pages Directed by Dr. David Keezer This thesis presents methods for developing multi-function, multi-GHz, FPGAbased test modules designed to enhance the performance capabilities of automated test equipment (ATE). The methods are used to develop a design approach that utilizes a test module structure in two blocks. A core logic block is designed using a multi-GHz FPGA that provides control functions. Another block called the â application specificâ logic block includes components required for specific test functions. Six test functions are demonstrated in this research: high-speed signal multiplexing, loopback testing, jitter injection, amplitude adjustment, and timing adjustment. Furthermore, the test module is designed to be compatible with existing ATE infrastructure, thus retaining full ATE capabilities for standard tests. Experimental results produced by this research provide evidence that the methods are sufficiently capable of enhancing the multi-GHz testing capabilities of ATE and are extendable into future ATE development. The modular approach employed by the methods in this thesis allow for flexibility and future upgradability to even higher frequencies. Therefore the contributions made in this thesis have the potential to be used into the foreseeable future for enhancements to semiconductor test capabilities.