Logic synthesis for a single large look-up table

R. Murgai, M. Fujita, F. Hirose
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引用次数: 23

Abstract

Logic synthesis for look-up tables (LUTs) has received much attention in the past few years, since Xilinx introduced its LUT-based field-programmable gate array (FPGA) architectures. An m-input LUT can implement any Boolean function of up to m inputs. So the goal of synthesis for such architectures has been to synthesize a circuit in which each function can be implemented by one m-LUT such that either the total number of functions or the number of levels of the circuit is minimized. In this work, we focus on a different though related problem: synthesize the given circuit on a single memory or LUT L, which has a capacity of M bits. In addition to satisfying the memory constraint M, we also wish to minimize the total number of functions to be implemented. The main motivation for the problem comes from the problem of minimizing the simulation time on a hardware accelerator for logic simulation. This accelerator uses memory as a logic primitive. In fact, the problem is also relevant in the context of compile-code or software simulation. Another situation where the problem arises is in synthesis for the FPGA architectures being proposed that have on-chip memory for storing programs and data. The unused memory locations can be used to store logic functions. We show that the existing LUT synthesis methods are inadequate to solve this problem. We propose techniques to solve the problem and present experimental evidence to demonstrate their effectiveness.
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单个大型查询表的逻辑综合
自Xilinx推出基于lut的现场可编程门阵列(FPGA)架构以来,查找表(lut)的逻辑综合在过去几年中受到了广泛关注。m输入LUT可以实现最多m输入的任何布尔函数。因此,这种体系结构的综合目标是综合一个电路,其中每个功能都可以由一个m-LUT实现,这样无论是功能的总数还是电路的层数都是最小的。在这项工作中,我们专注于一个不同但相关的问题:在单个存储器或LUT L上合成给定电路,其容量为M位。除了满足内存约束M之外,我们还希望最小化要实现的函数总数。这个问题的主要动机来自于最小化硬件加速器上的逻辑仿真时间的问题。这个加速器使用内存作为逻辑原语。事实上,这个问题也与编译代码或软件仿真相关。出现问题的另一种情况是在FPGA架构的合成中提出的具有片上存储器用于存储程序和数据的FPGA架构。未使用的内存位置可以用来存储逻辑函数。我们发现现有的LUT合成方法不足以解决这一问题。我们提出了解决问题的技术,并提出了实验证据来证明其有效性。
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