Ao se projetar um novo processador, o desempenho não é mais o único objetivo de otimização. Reduzir o consumo de energia também é essencial, pois, enquanto a maior parte dos dispositivos embarcados depende fortemente de bateria, os processadores de propósito geral (GPPs) são restringidos pelos limites da energia térmica de projeto (TDP – thermal design power). Além disso, devido à evolução da tecnologia, a taxa de falhas transientes tem aumentado nos processadores modernos, o que afeta a confiabilidade de sistemas tanto no espaço quanto no nível do mar. Adicionalmente, a maioria dos processadores homogêneos e heterogêneos tem um design fixo, o que limita a adaptação em tempo de execução. Nesse cenário, nós propomos dois designs de processadores que são capazes de realizar o trade-off entre esses eixos de acordo com a aplicação alvo e os requisitos do sistema. Ambos designs baseiam-se em um mecanismo de duplicação de instruções com rollback que detecta e corrige falhas, um módulo de power gating para reduzir o consumo de energia das unidades funcionais. O primeiro é chamado de processador adaptativo e usa thresholds, definidos em tempo de projeto, para adaptar a execução da aplicação Adicionalmente, ele controla o ILP da aplicação para criar mais oportunidade de duplicação e de power gating. O segundo design é chamado processador polimórfico e ele avalia (em tempo de execução) a melhor configuração de hardware a ser usada para cada aplicação. Ele também explora o hardware disponível para maximizar o número de aplicações que são executadas em paralelo. Para a versão adaptativa usando uma configuração orientada a otimização de energia, é possível, em média, economizar 37,2% de energia com um overhead de apenas 8,2% em performance, mantendo baixos níveis de defeito, quando comparado a um design tolerante a falhas. Para a versão polimórfica, os resultados mostram que a reconfiguração dinâmica do processador é capaz de adaptar eficientemente o hardware ao comportamento da aplicação, de acordo com os requisitos especificados pelo designer, chegando a 94.88% do resultado de um processador oráculo quando o trade-off entre os três eixos é considerado. Por outro lado, a melhor configuração estática apenas atinge 28.24% do resultado do oráculo. / Performance is no longer the only optimization goal when designing a new processor. Reducing energy consumption is also mandatory: while most of the embedded devices are heavily dependent on battery power, General-Purpose Processors (GPPs) are being pulled back by the limits of Thermal Design Power (TDP). Moreover, due to technology scaling, soft error rate (i.e., transient faults) has been increasing in modern processors, which affects the reliability of both space and ground-level systems. In addition, most traditional homogeneous and heterogeneous processors have a fixed design, which limits its runtime adaptability. Therefore, they are not able to cope with the changing application behavior when one considers the axes of fault tolerance, performance, and energy consumption altogether. In this context, we propose two processor designs that are able to trade-off these three axes according to the application at hand and system requirements. Both designs rely on an instruction duplication with rollback mechanism that can detect and correct errors and a power gating module to reduce the energy consumption of the functional units The former design, called adaptive processor, uses thresholds defined at design time to allow runtime adaptation of the application’s execution and controls the application’s Instruction-Level Parallelism (ILP) to create more slots for duplication or power gating. The latter design (polymorphic processor) takes the former one step further by dynamically reconfiguring the hardware and evaluating different processor configurations for each application, and it also exploits the available pipelanes to maximize the number of applications that are executed concurrently. For the adaptive processor using an energy-oriented configuration, it is possible, on average, to reduce energy consumption by 37.2% with an overhead of only 8.2% in performance, while maintaining low levels of failure rate, when compared to a fault-tolerant design. For the polymorphic processor, results show that the dynamic reconfiguration of the processor is able to efficiently match the hardware to the behavior of the application, according to the requirements of the designer, achieving 94.88% of the result of an oracle processor when the trade-off between the three axes is considered. On the other hand, the best static configuration only achieves 28.24% of the oracle’s result.

The Waves instruments aboard the Juno and Radiation Belt Storm Probe (RBSP) spacecraft represents the next generation of space radio and plasma wave instrumentation developed by the University of Iowa's Radio and Plasma Wave group. The previous generation of such instruments on the Cassini spacecraft utilized several analog signal-conditioning techniques to compress and condense scientific data. Compression techniques are necessary because the plasma wave instruments can often generate significantly more science data than can be transmitted using the narrow telemetry channel of the hosting spacecraft. The next generation of plasma wave instrumentation represents a major shift of analog signal conditioning functionality to the digital domain, drastically reducing the amount of power and mass required by the instrument while simultaneously further condensing scientific data, increasing the precision of plasma emission measurements, and adding flexibility. The solution presented in this thesis is to utilize a low-cost radiation tolerant field programmable gate array (FPGA) that serves as a space qualified implementation platform for a custom designed general-purpose digital signal processor, called the WvFEv3.

Simple, cheap and reliable echo-based ultrasonic ranging systems such as the Polaroid ranging unit are easily applied to indoor applications. However, to measure the range between an unmanned helicopter and a moving ship deck at sea using ultrasound requires a more robust ranging system, because rushing air and breaking water are known ultrasound noise sources. The work of designing, constructing and testing such a system is described in this dissertation. The compact, UAV ready ultrasound transmitter module provides high power, broadband arbitrary signal generation. The separate field-ready receiver is based on a modern embedded Digital Signal Processor (DSP), providing high speed matched-filter correlation processing. Large time-bandwidth signalling is employed to maximise the signal to noise ratio of the ranging system. Synthesised experiments demonstrate the ability of the correlation processing to reliably recover timing from signals buried in noise. Real world experiments demonstrate decimetre accuracy with two centimetre resolution, ten metre range and 32Hz refresh rate. A maximum boresight range of up to 38m is supported.

As embedded systems designers increasingly turn to programmable logic technologies in place of off-the-shelf microprocessors, there is a growing interest in the development of optimised custom processing cores that can be designed on a per-application basis. FPGAs blur the traditional distinction between hardware and software and offer the promise of application specific hardware acceleration. But realizing this in a general sense requires a significant departure from traditional embedded systems development flows. Whereas off-the-shelf processors have a fixed architecture, the same cannot be said of purpose-built FPGA-based processors. With this freedom comes the challenge of empirically determining the optimal boundary point between hardware and software. The fluidity of the hardware/software partition also poses an interesting challenge for compiler developers. This thesis presents a tool and methodology that addresses these codesign challenges in a new way. Described as 'compiler-directed codesign', it makes use of a suitably modified compiler to help direct the development of a custom processor core on a per-application basis. By exposing the compiler's internal representation of a compiled target program, visibility into those instructions, and hardware resources, that are most sought after by the compiler can be gained. This information is then used to inform further processor development and to determine the optimal partition between hardware and software. At each design iteration, the machine model is updated to reflect the available hardware resources, the compiler is rebuilt, and the target application is compiled once again. By including the compiler 'in-the-loop' of custom processor design, developers can accurately quantify the impact on performance caused by the addition or removal of specific hardware resources and iteratively converge on an optimal solution. Compiler Directed Codesign has advantages over existing codesign methodologies because it offers both a concrete point from which to begin the partitioning process as well as providing quantifiable and rapid feedback of the merits of different partitioning choices. When applied to an Adaptive PCM Encoder/Decoder case study, the Compiler Directed Codesign technique yielded a custom processor core that was between 36% and 73% smaller, consumed between 11% to 19% less memory, and performed up to 10X faster than comparable general-purpose FPGA-based processor cores. The conclusion of this work is that a suitably modified compiler can serve a valuable role in directing hardware/software partitioning on a per-application basis.

<p>FFT processors are today one of the most important blocks in communication equipment. They are used in everything from broadband to 3G and digital TV to Radio LANs. This master's thesis project will deal with pipelined hardware solutions for FFT processors with long FFT transforms, 1K to 8K points. These processors could be used for instance in OFDM communication systems. </p><p>The final implementation of the FFT processor uses a GALS (Globally Asynchronous Locally Synchronous) architecture, that implements the SDF (Single Delay Feedback) radix-22 algorithm. </p><p>The goal of this report is to outline the knowledge gained during the master's thesis project, to describe a design methodology and to document the different building blocks needed in these kinds of systems.</p>

<p>A new path of DSP processor design is described in this thesis with an example, to design a FFT processor. It is an innovative concept for DSP processor design developed by the Electronic Systems Division in the department of Electrical Engineer department in Linköping University. </p><p>The project described in this thesis is to design a Sande-Tukey FFT processor step by step. It will go through all steps from the simplest MATLAB specification to the final synthesizable VHDL specification. The steps should be as small as possible in order to avoid error and MATLAB should be used as for as possible.</p>

<p>This Master Thesis presents the design of the core of a fixed point general purpose multimedia DSP processor (MDSP) and its instruction set. This processor employs parallel processing techniques and specialized addressing models to speed up the processing of multimedia applications. </p><p>The MDSP has a dual MAC structure with one enhanced MAC that provides a SIMD, Single Instruction Multiple Data, unit consisting of four parallel data paths that are optimized for accelerating multimedia applications. The SIMD unit performs four multimedia- oriented 16- bit operations every clock cycle. This accelerates computationally intensive procedures such as video and audio decoding. The MDSP uses a memory bank of four memories to provide multiple accesses of source data each clock cycle.</p>

<p>Nowadays, FPGAs are large enough to host entire system-on-chip designs, wherein a soft core processor is often an integral part. High performance of the processor is always desirable, so there is an interest in finding faster solutions.This report aims to describe the work and results performed by Karl Bengtson and Olof Andersson at ISY. The task was to continue the development of a soft core microprocessor, originally created by Andreas Ehliar. The first step was to decide a more widely adopted instruction set for the processor. The choice fell upon the MIPS32 instruction set. The main work of the project has been focused on implementing support for MIPS32, allowing the processor to execute MIPS assembly language programs. The development has been done with speed optimization in mind. For every new function, the effects on the maximum frequency has been considered, and solutions not satisfying the speed requirements has been abandoned or revised.The performance has been measured by running a benchmark program—Coremark. Comparison has also been made to the main competitors among soft core processors. The results were positive, and reported a higher Coremark score than the other processors inthe study. The processor described herein still lacks many essential features. Nevertheless, the conclusion is that it may be possible to create a competitive alternative to established soft processors.</p> / <p>FPGAer används idag ofta för stora inbyggda system, i vilka en mjuk processor ofta spelar en viktig roll. Hög prestanda hos processorn är alltid önskvärt, så det finns ett intresse i att hitta snabbare lösningar. Denna rapport skall beskriva det arbete och de resultat som uppnåtts av Karl Bengtson och Olof Andersson på ISY. Uppgiften var att fortsätta utvecklandet av en mjuk processor, som ursprungligen skapats av Andreas Ehliar. Första steget var att välja ut en mer allmänt använd instruktionsuppsättning för processorn. Valet föll på instruktionsuppsättningsarkitekturen MIPS32. Projektets huvutarbete har varit fokuserat på att implementera stöd för MIPS32, vilket ger processorn möjlighet att köra assemblerprogram för MIPS.Utvecklingen har gjorts med hastighetsoptimering i beaktning. För varje ny funktion har dess effekter på maxfrekvensen undersökts,och lösningar som inte uppfyllt hastighetskraven har förkastats eller reviderats. Prestandan har mätts med programmet Coremark. Det har också gjorts jämförelser med huvudkonkurrenterna bland mjuka processorer. Resultaten var positiva, och rapporterade ett högre Coremarkpoäng än de andra processorerna i studien. Slutsatsen är att det ärmöjligt att skapa ett alternativ till de etablerade mjuka processorerna, men att denna processor fortfarande saknar väsentliga funktioner som behövs för att utgöra en mogen produkt.</p>

<p>The thesis work is conducted in the division of computer engineering at thedepartment of electrical engineering in Linköping University. During the thesiswork, a configurable Direct Memory Access (DMA) controller was designed andimplemented. The DMA controller runs at 200MHz under 65nm digital CMOS technology. The estimated gate count is 26595.</p><p>The DMA controller has two address generators and can provide two clocksources. It can thus handle data read and write simultaneously. There are 16channels built in the DMA controller, the data width can be 16-bit, 32-bit and64-bit. The DMA controller supports 2D data access by configuring its intelligentlinking table. The DMA is designed for advanced DSP applications and it is notdedicated for cache which has a fixed priority.</p>

<p>This thesis is a part of an effort to make a scalable behavioral model of the Central Processing Unit and instruction set compatible with the DSP56000 Processor. The goal of this design is to reduce the critical path, silicon area, as well as power consumption of the instruction decoder.</p><p>The instruction decoder consists of three different types of operations instruction fetching, decoding and execution. By using these three steps an efficient model has to be designed to get the shortest critical path, less silicon area, and low power consumption.</p>