Field-programmable gate array

About: Field-programmable gate array is a research topic. Over the lifetime, 36074 publications have been published within this topic receiving 354374 citations. The topic is also known as: FPGA & Field-Programmable Gate Array.

Digital Signal Processing with Field Programmable Gate Arrays

Abstract: Field-Programmable Gate Arrays (FPGAs) are revolutionizing digital signal processing as novel FPGA families are replacing ASICs and PDSPs for front-end digital signal processing algorithms So the efficient implementation of these algorithms is critical and is the main goal of this book It starts with an overview of today's FPGA technology, devices, and tools for designing state-of-the-art DSP systems A case study in the first chapter is the basis for more than 40 design examples throughout The following chapters deal with computer arithmetic concepts, theory and the implementation of FIR and IIR filters, multirate digital signal processing systems, DFT and FFT algorithms, advanced algorithms with high future potential, and adaptive filters Each chapter contains exercises The VERILOG source code and a glossary are given in the appendices, while the accompanying CD-ROM contains the examples in VHDL and Verilog code as well as the newest Altera "Quartus II web edition" software This edition has a new chapter on microprocessors, new sections on special functions using MAC calls, intellectual property core design and arbitrary sampling rate converters, and over 100 new exercises

PipeRench: a reconfigurable architecture and compiler

Abstract: With the proliferation of highly specialized embedded computer systems has come a diversification of workloads for computing devices. General-purpose processors are struggling to efficiently meet these applications' disparate needs, and custom hardware is rarely feasible. According to the authors, reconfigurable computing, which combines the flexibility of general-purpose processors with the efficiency of custom hardware, can provide the alternative. PipeRench and its associated compiler comprise the authors' new architecture for reconfigurable computing. Combined with a traditional digital signal processor, microcontroller or general-purpose processor, PipeRench can support a system's various computing needs without requiring custom hardware. The authors describe the PipeRench architecture and how it solves some of the pre-existing problems with FPGA architectures, such as logic granularity, configuration time, forward compatibility, hard constraints and compilation time.

CMOL FPGA: a reconfigurable architecture for hybrid digital circuits with two-terminal nanodevices

Abstract: This paper describes a digital logic architecture for ‘CMOL’ hybrid circuits which combine a semiconductor–transistor (CMOS) stack and two levels of parallel nanowires, with molecular-scale nanodevices formed between the nanowires at every crosspoint. This cell-based, field-programmable gate array (FPGA)-like architecture is based on a uniform, reconfigurable CMOL fabric, with four-transistor CMOS cells and two-terminal nanodevices (‘latching switches’). The switches play two roles: they provide diode-like I –V curves for logic circuit operation, and allow circuit mapping on CMOL fabric and its reconfiguration around defective nanodevices. Monte Carlo simulations of two simple circuits (a 32-bit integer adder and a 64-bit full crossbar switch) have shown that the reconfiguration allows one to increase the circuit yield above 99% at the fraction of bad nanodevices above 20%. Estimates have shown that at the same time the circuits may have extremely high density (approximately 500 times higher than that of the usual CMOS FPGAs with the same design rules), while operating at higher speed at acceptable power consumption. (Some figures in this article are in colour only in the electronic version)

Data processing system and method

Abstract: A powerful, scaleable, and reconfigurable image processing system and method of processing data therein is described. This general purpose, reconfigurable engine with toroidal topology, distributed memory, and wide bandwidth I/O are capable of solving real applications at real-time speeds. The reconfigurable image processing system can be optimized to efficiently perform specialized computations, such as real-time video and audio processing. This reconfigurable image processing system provides high performance via high computational density, high memory bandwidth, and high I/O bandwidth. Generally, the reconfigurable image processing system and its control structure include a homogeneous array of 16 field programmable gate arrays (FPGA) and 16 static random access memories (SRAM) arranged in a partial torus configuration. The reconfigurable image processing system also includes a PCI bus interface chip, a clock control chip, and a datapath chip. It can be implemented in a single board. It receives data from its external environment, computes correspondence, and uses the results of the correspondence computations for various post-processing industrial applications. The reconfigurable image processing system determines correspondence by using non-parametric local transforms followed by correlation. These non-parametric local transforms include the census and rank transforms. Other embodiments involve a combination of correspondence, rectification, a left-right consistency check, and the application of an interest operator.

A time-multiplexed FPGA

Abstract: This paper describes the architecture of a time-multiplexed FPGA. Eight configurations of the FPGA are stored in on-chip memory. This inactive on-chip memory is distributed around the chip, and accessible so that the entire configuration of the FPGA can be changed in a single cycle of the memory. The entire configuration of the FPGA can be loaded from this on-chip memory in 30 ns. Inactive memory is accessible as block RAM for applications. The FPGA is based on the Xilinx XC4000E FPGA, and includes extensions for dealing with state saving and forwarding and for increased routing demand due to time-multiplexing the hardware.