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A High-Level Synthesis Scheduling and Binding Heuristic for FPGA Fault Tolerance

机译:用于FPGA容错的高级合成调度和结合启发式

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摘要

Computing systems with field-programmable gate arrays (FPGAs) often achieve fault tolerance in high-energy radiation environments via triple-modular redundancy (TMR) and configuration scrubbing. Although effective, TMR suffers from a 3x area overhead, which can be prohibitive for many embedded usage scenarios. Furthermore, this overhead is often worsened because TMR often has to be applied to existing register-transfer-level (RTL) code that designers created without considering the triplicated resource requirements. Although a designer could redesign the RTL code to reduce resources, modifying RTL schedules and resource allocations is a time-consuming and error-prone process. In this paper, we present a more transparent high-level synthesis approach that uses scheduling and binding to provide attractive tradeoffs between area, performance, and redundancy, while focusing on FPGA implementation considerations, such as resource realization costs, to produce more efficient architectures. Compared to TMR applied to existing RTL, our approach shows resource savings up to 80% with average resource savings of 34% and an average clock degradation of 6%. Compared to the previous approach, our approach shows resource savings up to 74% with average resource savings of 19% and an average heuristic execution time improvement of 96x.
机译:具有现场可编程门阵列(FPGA)的计算系统通常通过三模块化冗余(TMR)和配置擦洗来实现高能辐射环境中的容错。虽然有效,TMR遭受了3倍面积的开销,但对于许多嵌入式使用场景来说,这可能是禁止的。此外,这种开销通常不会恶化,因为TMR通常必须应用于设计人员的现有寄存器传输级(RTL)代码而不考虑三倍的资源要求。尽管设计师可以重新设计RTL代码以减少资源,但修改RTL计划和资源分配是耗时和错误的过程。在本文中,我们提出了一种更透明的高级合成方法,使用调度和绑定来提供面积,性能和冗余之间的有吸引力权衡,同时关注FPGA实现考虑,例如资源实现成本,以产生更高效的架构。与现有RTL应用于TMR相比,我们的方法显示了高达80%的资源节省,平均资源节省34%,平均时钟降级为6%。与以前的方法相比,我们的方法显示资源节省高达74%,平均资源节省19%,平均启发式执行时间提高96倍。

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