By Vaughn Betz
For the reason that their creation in 1984, Field-Programmable Gate Arrays (FPGAs) became probably the most renowned implementation media for electronic circuits and feature grown right into a $2 billion in step with 12 months undefined. As strategy geometries have gotten smaller into the deep-submicron zone, the common sense ability of FPGAs has enormously elevated, making FPGAs a plausible implementation substitute for better and bigger designs. To make the easiest use of those new deep-submicron methods, one needs to re-design one's FPGAs and computing device- Aided layout (CAD) instruments. structure and CAD for Deep-Submicron FPGAs addresses a number of key matters within the layout of high-performance FPGA architectures and CAD instruments, with specific emphasis on matters which are very important for FPGAs applied in deep-submicron tactics. 3 components mix to figure out the functionality of an FPGA: the caliber of the CAD instruments used to map circuits into the FPGA, the caliber of the FPGA structure, and (i.e. transistor-level) layout of the FPGA. structure and CAD for Deep-Submicron FPGAs examines all 3 of those matters in live performance. with a view to examine the standard of alternative FPGA architectures, one wishes CAD instruments able to instantly imposing circuits in each one FPGA structure of curiosity. as soon as a circuit has been carried out in an FPGA structure, one subsequent wishes actual zone and hold up versions to guage the standard (speed completed, zone required) of the circuit implementation within the FPGA structure below try out. This booklet as a result has 3 significant foci: the improvement of a top of the range and hugely versatile CAD infrastructure, the production of actual sector and hold up versions for FPGAs, and the examine of numerous vital FPGA architectural concerns. structure and CAD for Deep-Submicron FPGAs is a vital reference for researchers, pros and scholars drawn to FPGAs.
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Extra resources for Architecture and CAD for Deep-Submicron FPGAs
Lm technologies. The measure of throughput used is SPECint92. ). The ARM71 0 processor has a SPECint921Watt five times greater than the R4700's, and the claim then follows that it is "five times as energy efficient". 24}. 24 vs .. 30). 12 is used because it better tracks the R4700's energy at the low throughput values. 2. ----, 4700 ,-. 06 c: ~ ! 12 Energy vs. Throughput ofR4700 and ARM710. 5 ·Vr ) for the R4700. 7·Vr), or 150% of the ARM710's throughput. This does assume that the R4700 processor has been designed so that it can operate at thes~ low supply voltages.
1. Huang, et. , "A Robust Physical and Predictive Model for DeepSubmicrometer MOS Circuit Simulation", Proceedings of the IEEE Custom Integrated Circuits Conference, May 1993, pp. 1-4. M. Horowitz, T. Indennaur, and R Gonzalez, "Low-Power Digital Design", Proceedings of the IEEE Symposium on Low Power Electronics, Oct. 1994, pp. 8-11. , ARM710 Data Sheet, Technical Document, Dec. 1994. , Enhanced Orion 64-Bit RISC Microprocessor, Data Sheet, Sept. 1995. , Embedded Ultra-Low Power Intel486TM GX Processor, SmartDieTM Product Specification, Dec.
Architecture and CAD for Deep-Submicron FPGAs by Vaughn Betz