Download E-books Hardware Acceleration of EDA Algorithms: Custom ICs, FPGAs and GPUs PDF

By Kanupriya Gulati

Single-threaded software program functions have ceased to determine signi?cant profits in p- formance on a general-purpose CPU, inspite of extra scaling in very huge scale integration (VLSI) know-how. it is a signi?cant challenge for digital layout automation (EDA) purposes, because the layout complexity of VLSI built-in circuits (ICs) is consistently turning out to be. during this study monograph, we overview customized ICs, ?eld-programmable gate arrays (FPGAs), and images processors as systems for accelerating EDA algorithms, rather than the general-purpose sing- threaded CPU. We learn functions that are utilized in key time-consuming steps of the VLSI layout ?ow. extra, those purposes even have diverse levels of inherent parallelism in them. We research either control-dominated EDA functions and regulate plus info parallel EDA functions. We speed up those functions on those assorted structures. We additionally current an automatic technique for accelerating yes uniprocessor purposes on a photographs processor. This monograph compares customized ICs, FPGAs, and images processing devices (GPUs) as power systems to speed up EDA algorithms. It additionally offers info of the programming version used for interfacing with the GPUs.

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A hundred sixty five References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . a hundred sixty five half IV automatic iteration of GPU Code eleven automatic procedure for pictures Processor established software program Acceleration . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 169 eleven. 1 bankruptcy evaluation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 169 eleven. 2 creation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 169 eleven. three Our method . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 171 eleven. three. 1 challenge Definition . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 171 eleven. three. 2 GPU Constraints at the Kernel new release Engine . . . . . . 172 eleven. three. three automated Kernel iteration Engine . . . . . . . . . . . . . . . . . 173 eleven. four Experimental effects . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 176 eleven. four. 1 review technique . . . . . . . . . . . . . . . . . . . . . . . . . . . . 177 eleven. five bankruptcy precis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 179 References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 179 12 Conclusions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 181 References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 187 Index . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 189 List of Tables four. 1 four. 2 four. three four. four five. 1 five. 2 five. three 6. 1 6. 2 7. 1 eight. 1 eight. 2 nine. 1 nine. 2 nine. three 10. 1 10. 2 eleven. 1 Encoding of {reg,reg_bar} bits . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . forty-one Encoding of {lit,lit_bar} and var_implied indications . . . . . . . . . . . . . . . . . . forty two Partitioning and binning effects . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . fifty five evaluating opposed to MiniSAT (a BCP-based software program SAT solver) . . . . . fifty seven variety of boxes touched with admire to bin dimension . . . . . . . . . . . . . . . . . . . . seventy six LUT distribution for FPGA units . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . seventy six Runtime comparability XC4VFX140 as opposed to MiniSAT . . . . . . . . . . . . . . . . seventy nine evaluating MiniSAT with SurveySAT (CPU) and SurveySAT (GPU) . . ninety four evaluating MESP with MiniSAT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ninety seven Monte Carlo dependent SSTA effects . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . one hundred fifteen Encoding of the masks bits . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 126 Parallel fault simulation effects . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . a hundred thirty Fault desk iteration effects with L = 32K . . . . . . . . . . . . . . . . . . . . . . . . 148 Fault desk new release effects with L = 8K . . . . . . . . . . . . . . . . . . . . . . . . . 149 Fault desk iteration effects with L = 16K . . . . . . . . . . . . . . . . . . . . . . . . a hundred and fifty Speedup for BSIM3 review . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 162 Speedup for circuit simulation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 163 Validation of the automated kernel iteration method . . . . . . . . . . . . . . 178 xix List of Figures 1. 1 2. 1 2. 2 2. three 2. four 2. five 2. 6 three. 1 three. 2 three. three three. four four. 1 four. 2 four. three four. four four. five four. 6 four. 7 four. eight four. nine four. 10 four. eleven four. 12 four. thirteen four. 14 five. 1 five. 2 five. three five. four five. five five. 6 6. 1 CPU functionality progress [3] . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . FPGA format [14] . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . good judgment block within the FPGA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . LUT implementation utilizing a 16:1 MUX . . . . . . . . . . . . . . . . . . . . . . . . . . SRAM configuration bit layout . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . evaluating Gflops of GPUs and CPUs [11] . . . . . . . . . . . . . . . . . . . . . . . . FPGA progress development [9] .

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