3 research outputs found

    High-Speed Low-Voltage Line Driver for SerDes Applications

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    The driving factor behind this research was to design & develop a line driver capable of meeting the demanding specifications of the next generation of SerDes devices. In this thesis various line driver topologies were analysed to identify a topology suited for a high-speed low-voltage operating environment. This thesis starts of by introducing a relatively new high-speed communication Device called SerDes. SerDes is used in wired chip-to-chip communications and operates by converting a parallel data stream in a serial data stream that can be then transmitted at a higher bit rate, existing SerDes devices operate up to 12.5Gbps. A matching SerDes device at the destination will then convert the serial data stream back into a parallel data stream to be read by the destination ASIC. SerDes typically uses a line driver with a differential output. Using a differential line driver increases the resilience to outside sources of noise and reduces the amount of EM radiation produced by transmission. The focus of this research is to design and develop a line driver that can operate at 40Gbps and can function with a power supply of less than IV. This demanding specification was decided to be an accurate representation of future requirements that a line driver in a SerDes device will have to conform to. A suitable line driver with a differential output was identified to meet the demanding specifications and was modified so that it can perfonn an equalisation technique called pre-distortion. Two variations of the new topology were outlined and a behavioural model was created for both using Matlab Simulink. The behavioural model for both variants proved the concept, however only one variant maintained its perfomance once the designs were implemented at transistor level in Cadence, using a 65nm CMOS technology provided by Texas Instruments. The final line driver design was then converted into a layout design, again using Cadence, and RC parasitics were extracted to perfom a post-layout simulation. The post layout simulation shows that the novel line driver can operate at 40Gbps with a power supply of 1 V - O.8V and has a power consumption of 4.54m W /Gbps. The Deterministic Jitter added by the line driver is 12.9ps

    EARLY PERFORMANCE PREDICTION METHODOLOGY FOR MANY-CORES ON CHIP BASED APPLICATIONS

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    Modern high performance computing applications such as personal computing, gaming, numerical simulations require application-specific integrated circuits (ASICs) that comprises of many cores. Performance for these applications depends mainly on latency of interconnects which transfer data between cores that implement applications by distributing tasks. Time-to-market is a critical consideration while designing ASICs for these applications. Therefore, to reduce design cycle time, predicting system performance accurately at an early stage of design is essential. With process technology in nanometer era, physical phenomena such as crosstalk, reflection on the propagating signal have a direct impact on performance. Incorporating these effects provides a better performance estimate at an early stage. This work presents a methodology for better performance prediction at an early stage of design, achieved by mapping system specification to a circuit-level netlist description. At system-level, to simplify description and for efficient simulation, SystemVerilog descriptions are employed. For modeling system performance at this abstraction, queueing theory based bounded queue models are applied. At the circuit level, behavioral Input/Output Buffer Information Specification (IBIS) models can be used for analyzing effects of these physical phenomena on on-chip signal integrity and hence performance. For behavioral circuit-level performance simulation with IBIS models, a netlist must be described consisting of interacting cores and a communication link. Two new netlists, IBIS-ISS and IBIS-AMI-ISS are introduced for this purpose. The cores are represented by a macromodel automatically generated by a developed tool from IBIS models. The generated IBIS models are employed in the new netlists. Early performance prediction methodology maps a system specification to an instance of these netlists to provide a better performance estimate at an early stage of design. The methodology is scalable in nanometer process technology and can be reused in different designs
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