编译器定向软错误弹性轻量级GPU注册文件保护

Hongjune Kim, Jianping Zeng, Qingrui Liu, Mohammad Abdel-Majeed, Jaejin Lee, Changhee Jung
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引用次数: 14

摘要

本文介绍了Penny,一种用于保护GPU寄存器文件(RF)免受软错误影响的编译器定向弹性方案。Penny通过使用更便宜的错误检测码(EDC)以及基于幂等的恢复取代了传统的基于纠错码(ECC)的射频保护。与ECC保护相比,Penny可以实现相同水平的RF弹性,但硬件成本显着降低,或者使用相同的ECC实现更强的弹性,因为它能够在仅用于检测时检测多比特错误。特别是,为了解决gpu中缺乏存储缓冲区的问题,这会导致检查点存储覆盖和检查点存储的高成本,Penny提供了一些编译器优化,如存储着色和检查点修剪。在25个基准测试中,Penny平均只导致≈3%的运行时开销。
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Compiler-directed soft error resilience for lightweight GPU register file protection
This paper presents Penny, a compiler-directed resilience scheme for protecting GPU register files (RF) against soft errors. Penny replaces the conventional error correction code (ECC) based RF protection by using less expensive error detection code (EDC) along with idempotence based recovery. Compared to the ECC protection, Penny can achieve either the same level of RF resilience yet with significantly lower hardware costs or stronger resilience using the same ECC due to its ability to detect multi-bit errors when it is used solely for detection. In particular, to address the lack of store buffers in GPUs, which causes both checkpoint storage overwriting and the high cost of checkpointing stores, Penny provides several compiler optimizations such as storage coloring and checkpoint pruning. Across 25 benchmarks, Penny causes only ≈3% run-time overhead on average.
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