As technology evolves and new methods for designing radios arise, it becomes necessary to continue the search for fast and flexible development environments. Some of these new technologies include software defined radio (SDR), Field Programmable Gate Arrays (FPGAs), and the open source project GNU Radio. Software defined radio is a concept that GNU Radio has harnessed to allow developers to quickly create flexible radio designs. In terms of hardware, the maturity of FPGAs give radio designers new opportunities to develop high-speed radios having high-throughput and low-latency, yet the conventional build-time for FPGAs is a limiting factor for productivity. Recent research has lead to reductions in build-time by using FPGAs in a non-traditional manner, meaning productivity no longer has to be sacrificed. The AgileHW project demonstrated this concept and will be used as a basis to develop an overlaying architecture that uses a combination of the technologies mentioned to create a flexible, open, and efficient environment for radio development. This thesis discusses the realization of this architecture with the use of Xilinx FPGAs as a hardware accelerator for an enhanced GNU Radio. / Master of Science

As hardware applications become increasingly complex, the supporting technology needs to evolve and adapt to the demands. Field Programmable Gate Array (FPGA), Application Specific Integrated Circuit, General Purpose Processor, and System on Chip are the preferred devices for solving computational problems. Each of these platforms has its own specific advantages and disadvantages, which need to be accounted for during application development. Flexible radio communications has been dominated by Software Defined Radios. However, research in industry and universities has successfully developed run-time reconfiguration tools to make FPGA designs more flexible and thus vastly reducing configuration times. Developers now have a more powerful platform with dense Digital Signal Processor resources and the flexibility of SDR. Xilinx offers tools such as partial reconfiguration, which is a special modification of the standard tool-flow that supports configuration of the selected partial regions on an FPGA. The AgileHW project improves on the Xilinx tools resource allocation and routing scheme to increase the design agility and productivity. This thesis advances the AgileHW reconfigurable platform so developers can use the newer technology to build enhanced designs. / Master of Science

This master's thesis dissertates of partial reconfiguration methods based on programmable structures. In theoretical part it deals with difference and modular-based method of Xilinx's FPGAs Partial reconfiguration. Options of both reconfiguration techniques were written for Spartan 3, Virtex II, Virtex 4 and Virtex 5 processors. Diference-based method was in practical part tested on Spartan 3E Starter Kit and modular-based on ML501 board. All configuration bitstreams are included on CD. Xilinx Inc. provided all needed software tools such as ISE9.2i and PlanAHEAD.

<p>The aim of this thesis was to configure an FPGA with high speed ports to capture data from a prototype 4 bit ΣΔ analogue-to-digital converter sending data at a rate of 2.4 Gbps in four channels and to develop a protocol for transferring the data to a PC for analysis. Data arriving in the four channels should be sorted into 4 bit words with one bit taken successively from each of the channels. A requirement on the data transfer was that the data in the four channels should arrive synchronously to the FPGA. A Virtex-5 FPGA on a LT110X platform was used with <em>Rocket^TMIO</em> GPT transceivers tightly integrated with the FPGA logic. Since the actual DUT (Device Under Test) was not in place during the work, the transceivers of the FPGA were used for both sending and receiving data. The transmission was shown to be successful for both eight and ten bit data widths. At this stage a small skew between the data in the four channels was observed. This was solved by storing the information in separate memories, one for each of the channels, to make possible to later form the 4 bit words in the PC (MatLab). The memories were two port FIFOs writing in data at 240 MHz (10 bit data width) or 300 MHz (8 bit data width) and read out at 50 MHz.</p> / <p>Syftet med examensarbetet var att konfigurera en FPGA med höghastighetsportar så att data från en prototyp av en 4 bitars ΣΔ analog-till-digital omvandlare kan samlas in med en hastighet av 2.4 Gbps i var och en av fyra kanaler och att utveckla ett protokoll för överföring av dessa data från FPGAn till en PC för analys. Insamlade data ska sorteras i 4 bitars ord med en bit successivt tagen från var och en av kanalerna. Ett krav på dataöverföringen var att data i de fyra kanalerna skulle anlända synkront till FPGAn. En Virtex-5 FPGA på en LT110X plattfrom användes med <em></em>GTP transceivrar tätt integrerade med FPGA logiken. Då utrustningen som skulle testas inte var tillgänglig under tiden arbetet utfördes användes FPGAns transceivrar till att både sända och ta emot data. Överföring av data med både 8 och 10 bitars datavidd uppnåddes framgångsrikt. Data i de fyra kanalerna visade sig dock inte anlända synkront till mottagaren. Detta problem löstes genom att lagra informationen i separata minnen, ett för varje kanal, överföra data från minnena till PCn och där med hjälp av MatLab sortera dem till 4 bitars ord. Som minnen användes tvåportars FIFOn där data skrivs in med en hastighet av 240 MHz (10 bitars datavidd) eller 300 MHZ (8 bitars datavidd) och läses ut med en hastighet av 50 MHz.</p>

The aim of this thesis was to configure an FPGA with high speed ports to capture data from a prototype 4 bit ΣΔ analogue-to-digital converter sending data at a rate of 2.4 Gbps in four channels and to develop a protocol for transferring the data to a PC for analysis. Data arriving in the four channels should be sorted into 4 bit words with one bit taken successively from each of the channels. A requirement on the data transfer was that the data in the four channels should arrive synchronously to the FPGA. A Virtex-5 FPGA on a LT110X platform was used with RocketTMIO GPT transceivers tightly integrated with the FPGA logic. Since the actual DUT (Device Under Test) was not in place during the work, the transceivers of the FPGA were used for both sending and receiving data. The transmission was shown to be successful for both eight and ten bit data widths. At this stage a small skew between the data in the four channels was observed. This was solved by storing the information in separate memories, one for each of the channels, to make possible to later form the 4 bit words in the PC (MatLab). The memories were two port FIFOs writing in data at 240 MHz (10 bit data width) or 300 MHz (8 bit data width) and read out at 50 MHz. / Syftet med examensarbetet var att konfigurera en FPGA med höghastighetsportar så att data från en prototyp av en 4 bitars ΣΔ analog-till-digital omvandlare kan samlas in med en hastighet av 2.4 Gbps i var och en av fyra kanaler och att utveckla ett protokoll för överföring av dessa data från FPGAn till en PC för analys. Insamlade data ska sorteras i 4 bitars ord med en bit successivt tagen från var och en av kanalerna. Ett krav på dataöverföringen var att data i de fyra kanalerna skulle anlända synkront till FPGAn. En Virtex-5 FPGA på en LT110X plattfrom användes med GTP transceivrar tätt integrerade med FPGA logiken. Då utrustningen som skulle testas inte var tillgänglig under tiden arbetet utfördes användes FPGAns transceivrar till att både sända och ta emot data. Överföring av data med både 8 och 10 bitars datavidd uppnåddes framgångsrikt. Data i de fyra kanalerna visade sig dock inte anlända synkront till mottagaren. Detta problem löstes genom att lagra informationen i separata minnen, ett för varje kanal, överföra data från minnena till PCn och där med hjälp av MatLab sortera dem till 4 bitars ord. Som minnen användes tvåportars FIFOn där data skrivs in med en hastighet av 240 MHz (10 bitars datavidd) eller 300 MHZ (8 bitars datavidd) och läses ut med en hastighet av 50 MHz.

The aim of this thesis was to design and implement PCI Express Bridge. The main purpose of this unit is to help application engineers who develop various FPGA based accelerators. The implemented unit transforms complex PCI Express based system bus interface to more common and scalable interface of internal bus for on-chip components interconnection. This allows engineers to focus on the development of their target applications, not on a complicated communication protocol. The unit was implemented in the VHDL language, synthesized for Virtex-5 based FPGAs as well as completely tested on ML555 and COMBOv2 cards. The acquired results show that the component reaches the throughput of 7 Gb/s, which is the theoretical limitation of underlying protocols.

Increasingly, soft processors are being considered for use within FPGA-based reliable computing systems. In an environment in which radiation is a concern, such as space, the logic and routing (configuration memory) of soft processors are sensitive to radiation effects, including single event upsets (SEUs). Thus, effective tools are needed to evaluate and estimate how sensitive the configuration memories of soft processors are in high-radiation environments. A high-speed FPGA fault injection system and methodology were created using the Xilinx Radiation Test Consortium's (XRTC's) Virtex-5 radiation test hardware to conduct exhaustive tests of the SEU sensitivity of a design within an FPGA's configuration memory. This tool was used to show that the sensitivity of the configuration memory of a soft processor depends on several variables, including its microarchitecture, its customizations and features, and the software instructions that are executed. The fault injection experiments described in this thesis were performed on five different soft processors, i.e., MicroBlaze, LEON3, Arm Cortex-M0 DesignStart, OpenRISC 1200, and PicoBlaze. Emphasis was placed on characterizing the sensitivity of the MicroBlaze soft processor and the dependence of the sensitivity on various modifications. Seven benchmarks were executed through the various experiments and used to determine the SEU sensitivity of the soft processor's configuration memory to the instructions that were executed. In this thesis, a wide variety of soft processor fault injection results are presented to show the differences in sensitivity between multiple soft processors and the software they run.