Hardware Acceleration of EDA Algorithms- P4 doc
... the encoding of the lit, lit_bar, and var_implied signals. 4.4 Hardware Architecture 45 hardware. Therefore, the width of conflict-induced clause banks is kept equal to the number of variables ... of bck_lvl is higher than this variable’s my_lvl. The output of the XNOR of the rest of the lesser significant bits (j < i) for this variable is ignored. This is done by ANDing the...
Ngày tải lên: 02/07/2014, 14:20
... similar kernel for 2-, 3-, and 4-input gates in our library. Algorithm 11 Pseudocode of the Kernel to Compute CD of the Output k of 2-Input Gate with Inputs i and j CPT_kernel_2(int ∗ CD,int ∗D,inti,intj,intk){ t x = ... experimental results of [17] indicate a speedup for device model evaluation of about 1–6×. Our results demonstrate speedups for device model evaluation of about 3...
Ngày tải lên: 02/07/2014, 14:20
... Gulati · Sunil P. Khatri Hardware Acceleration of EDA Algorithms Custom ICs, FPGAs and GPUs 123 Hardware Acceleration of EDA Algorithms Contents 1 Introduction 1 1.1 Hardware Platforms Considered ... procedure benefits from the high parallelism of the GPU. In Part III of this book, we study the acceleration of several EDA problems, with varying amounts of control...
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Hardware Acceleration of EDA Algorithms- P2 pps
... a brief description of next-generation hardware platforms. The larger goal of this work is to provide techniques to enable the acceleration of EDA algorithms on different hardware platforms. References 1. ... electronics of the future. References 5 In this monograph, we explore the acceleration of several different EDA algo- rithms (with varying degrees of inherent pa...
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Hardware Acceleration of EDA Algorithms- P3 pptx
... tasks in hardware, with a corresponding speedup of 1–2 orders of mag- nitude over the existing hardware approaches, as shown in the sequel. In most of the above approaches, the capacity of the ... (in terms of number of clauses) that can fit in the hardware. Our proposed solution has significantly larger capacity than existing hardware- based solutions. In our approach, a singl...
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Hardware Acceleration of EDA Algorithms- P7 pot
... every input of every gate, we can store K · P pairs of μ and σ values for pin-to-output delay distributions for every input of every gate. Here K is the number of discretizations of the output ... elements of this structure are the offset in texture memory (type integer) of the gate, for which this thread will perform STA, and the input arrival times (type float). The pseudocode...
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Hardware Acceleration of EDA Algorithms- P8 potx
... corresponding to the sum of the gate offset of G (G off ) and the value of the gate inputs. 1 0 0 0 1 0 1 1 1 1 1 1 1 0 0 0 0 1 NOR2 offset INV offset NAND3 offset AND2 offset Fig. 8.1 Truth tables stored ... tables of all gates in the library are stored in a LUT. The output of the simulation of a gate of type G is computed by looking up the LUT at the address corresponding to t...
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Hardware Acceleration of EDA Algorithms- P10 pptx
... circuits consisting of as few as about 1,000 transistors, speedups of about 3× can be obtained. In Part IV of this monograph, we discussed automated acceleration of single-core software on a GPU. ... a control-dominated EDA application. In Part III, we presented the acceleration of several EDA applications with varied degrees of inherent parallelism in them. In Part IV of...
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Hardware Acceleration of EDA Algorithms- P11 pot
... diagram of a single SM is shown in Fig. 12.4 and the block diagram of a core within an SM is shown in Fig. 12.5. With these upcoming architectures, newer approaches for hardware acceleration of algorithms ... 67 Decisions SAT, 32 Detectability, 138 DFF, 11 DIMACS, 45 Dimblock, 29 K. Gulati, S.P. Khatri, Hardware Acceleration of EDA Algorithms, DOI 10.1007/978-1-4419-0944-2,...
Ngày tải lên: 02/07/2014, 14:20