A design by example Regular Structure Generator

Originally presented as author's thesis (M.S.--Massachusetts Institute of Technology), 1985.Bibliography: leaves 108-111.Supported in part by the U.S. Air Force Office of Scientific Research contract F49620-84-C-0004Cyrus S. Bamji

Vertically integrated modules for low power embedded sensor systems

A typical embedded sensor system consists of an environmental sensor, data storage, and a control circuit (such as a microcontroller). Two main traits desired of these embedded sensor systems are small form factor and low power consumption. However, due to the diverse nature of the design and applications, monolithic solutions incorporating the three main components are often not available on a large cost effective scale. This work describes a method of integrating heterogeneous circuit components into a single module. When combined with efficient operating algorithms the system size is reduced and lifetime is extended. Production or custom designed component chips are thinned and stacked vertically while interconnects are fabricated within the module providing a 3-D integration (3DI) of the system. A Global Positioning System (GPS) location recording sensor system is designed with the intention of applying the 3DI process to reduce its size and power consumption

Dynamically reconfigurable architecture for embedded computer vision systems

The objective of this research work is to design, develop and implement a new architecture which integrates on the same chip all the processing levels of a complete Computer Vision system, so that the execution is efficient without compromising the power consumption while keeping a reduced cost. For this purpose, an analysis and classification of different mathematical operations and algorithms commonly used in Computer Vision are carried out, as well as a in-depth review of the image processing capabilities of current-generation hardware devices. This permits to determine the requirements and the key aspects for an efficient architecture. A representative set of algorithms is employed as benchmark to evaluate the proposed architecture, which is implemented on an FPGA-based system-on-chip. Finally, the prototype is compared to other related approaches in order to determine its advantages and weaknesses

VLSI Design

This book provides some recent advances in design nanometer VLSI chips. The selected topics try to present some open problems and challenges with important topics ranging from design tools, new post-silicon devices, GPU-based parallel computing, emerging 3D integration, and antenna design. The book consists of two parts, with chapters such as: VLSI design for multi-sensor smart systems on a chip, Three-dimensional integrated circuits design for thousand-core processors, Parallel symbolic analysis of large analog circuits on GPU platforms, Algorithms for CAD tools VLSI design, A multilevel memetic algorithm for large SAT-encoded problems, etc

Energy Efficient Hardware Accelerators for Packet Classification and String Matching

This thesis focuses on the design of new algorithms and energy efficient high throughput hardware accelerators that implement packet classification and fixed string matching. These computationally heavy and memory intensive tasks are used by networking equipment to inspect all packets at wire speed. The constant growth in Internet usage has made them increasingly difficult to implement at core network line speeds. Packet classification is used to sort packets into different flows by comparing their headers to a list of rules. A flow is used to decide a packet’s priority and the manner in which it is processed. Fixed string matching is used to inspect a packet’s payload to check if it contains any strings associated with known viruses, attacks or other harmful activities. The contributions of this thesis towards the area of packet classification are hardware accelerators that allow packet classification to be implemented at core network line speeds when classifying packets using rulesets containing tens of thousands of rules. The hardware accelerators use modified versions of the HyperCuts packet classification algorithm. An adaptive clocking unit is also presented that dynamically adjusts the clock speed of a packet classification hardware accelerator so that its processing capacity matches the processing needs of the network traffic. This keeps dynamic power consumption to a minimum. Contributions made towards the area of fixed string matching include a new algorithm that builds a state machine that is used to search for strings with the aid of default transition pointers. The use of default transition pointers keep memory consumption low, allowing state machines capable of searching for thousands of strings to be small enough to fit in the on-chip memory of devices such as FPGAs. A hardware accelerator is also presented that uses these state machines to search through the payloads of packets for strings at core network line speeds

Identifying worst case test vectors for FPGA exposed to total ionization dose using design for testability techniques

Electronic devices often operate in harsh environments which contain a variation of radiation sources. Radiation may cause different kinds of damage to proper operation of the devices. Their sources can be found in terrestrial environments, or in extra-terrestrial environments like in space, or in man-made radiation sources like nuclear reactors, biomedical devices and high energy particles physics experiments equipment. Depending on the operation environment of the device, the radiation resultant effect manifests in several forms like total ionizing dose effect (TID), or single event effects (SEEs) such as single event upset (SEU), single event gate rupture (SEGR), and single event latch up (SEL). TID effect causes an increase in the delay and the leakage current of CMOS circuits which may damage the proper operation of the integrated circuit. To ensure proper operation of these devices under radiation, thorough testing must be made especially in critical applications like space and military applications. Although the standard which describes the procedure for testing electronic devices under radiation emphasizes the use of worst case test vectors (WCTVs), they are never used in radiation testing due to the difficulty of generating these vectors for circuits under test. For decades, design for testability (DFT) has been the best choice for test engineers to test digital circuits in industry. It has become a very mature technology that can be relied on. DFT is usually used with automatic test patterns generation (ATPG) software to generate test vectors to test application specific integrated circuits (ASICs), especially with sequential circuits, against faults like stuck at faults and path delay faults. Surprisingly, however, radiation testing has not yet made use of this reliable technology. In this thesis, a novel methodology is proposed to extend the usage of DFT to generate WCTVs for delay failure in Flash based field programmable gate arrays (FPGAs) exposed to total ionizing dose (TID). The methodology is validated using MicroSemi ProASIC3 FPGA and cobalt 60 facility

Fault and Defect Tolerant Computer Architectures: Reliable Computing With Unreliable Devices

This research addresses design of a reliable computer from unreliable device technologies. A system architecture is developed for a fault and defect tolerant (FDT) computer. Trade-offs between different techniques are studied and yield and hardware cost models are developed. Fault and defect tolerant designs are created for the processor and the cache memory. Simulation results for the content-addressable memory (CAM)-based cache show 90% yield with device failure probabilities of 3 x 10(-6), three orders of magnitude better than non fault tolerant caches of the same size. The entire processor achieves 70% yield with device failure probabilities exceeding 10(-6). The required hardware redundancy is approximately 15 times that of a non-fault tolerant design. While larger than current FT designs, this architecture allows the use of devices much more likely to fail than silicon CMOS. As part of model development, an improved model is derived for NAND Multiplexing. The model is the first accurate model for small and medium amounts of redundancy. Previous models are extended to account for dependence between the inputs and produce more accurate results

FIFTY YEARS OF MICROPROCESSOR EVOLUTION: FROM SINGLE CPU TO MULTICORE AND MANYCORE SYSTEMS

Nowadays microprocessors are among the most complex electronic systems that man has ever designed. One small silicon chip can contain the complete processor, large memory and logic needed to connect it to the input-output devices. The performance of today's processors implemented on a single chip surpasses the performance of a room-sized supercomputer from just 50 years ago, which cost over $ 10 million [1]. Even the embedded processors found in everyday devices such as mobile phones are far more powerful than computer developers once imagined. The main components of a modern microprocessor are a number of general-purpose cores, a graphics processing unit, a shared cache, memory and input-output interface and a network on a chip to interconnect all these components [2]. The speed of the microprocessor is determined by its clock frequency and cannot exceed a certain limit. Namely, as the frequency increases, the power dissipation increases too, and consequently the amount of heating becomes critical. So, silicon manufacturers decided to design new processor architecture, called multicore processors [3]. With aim to increase performance and efficiency these multiple cores execute multiple instructions simultaneously. In this way, the amount of parallel computing or parallelism is increased [4]. In spite of mentioned advantages, numerous challenges must be addressed carefully when more cores and parallelism are used.This paper presents a review of microprocessor microarchitectures, discussing their generations over the past 50 years. Then, it describes the currently used implementations of the microarchitecture of modern microprocessors, pointing out the specifics of parallel computing in heterogeneous microprocessor systems. To use efficiently the possibility of multi-core technology, software applications must be multithreaded. The program execution must be distributed among the multi-core processors so they can operate simultaneously. To use multi-threading, it is imperative for programmer to understand the basic principles of parallel computing and parallel hardware. Finally, the paper provides details how to implement hardware parallelism in multicore systems

Biomedical Engineering

Biomedical engineering is currently relatively wide scientific area which has been constantly bringing innovations with an objective to support and improve all areas of medicine such as therapy, diagnostics and rehabilitation. It holds a strong position also in natural and biological sciences. In the terms of application, biomedical engineering is present at almost all technical universities where some of them are targeted for the research and development in this area. The presented book brings chosen outputs and results of research and development tasks, often supported by important world or European framework programs or grant agencies. The knowledge and findings from the area of biomaterials, bioelectronics, bioinformatics, biomedical devices and tools or computer support in the processes of diagnostics and therapy are defined in a way that they bring both basic information to a reader and also specific outputs with a possible further use in research and development