Sep 2026· IEEE International Conference on Application-Specific Systems, Architectures, and Processors· pp. 117-124· 0 citations· 15 references
Abstract
Coarse-grained reconfigurable architectures (CGRAs) promise high energy efficiency but remain vulnerable to transient upsets and aging-induced defects. We introduce a compiler-transparent reliability framework that provides online error detection and fast in-field recovery without requiring remapping or software checkpoints. The proposed approach distinguishes transient from permanent faults at runtime and enables rapid handover to healthy resources with low performance overhead. Experimental results demonstrate competitive fault coverage, bounded recovery latency, and negligible impact on steady-state throughput. In addition, a mean time to failure (MTTF) improvement of more than $\mathbf{2. 5} \times$ is achieved over the baseline without fault tolerance.
Trusted Execution Environments (TEEs) protect enclave memory from untrusted software but remain vulnerable to cache-based side-channel attacks due to shared microarchitectural resources. Existing countermeasures use techniques such as cache partitioning or randomization: these solutions are not ideal if a designer want...
Oussama Elmnaouri, Pascal Cotret, Vianney Lapôtre et al.· 0 citations
Efficient checkpoint/restart support is essential for resilient HPC scientific applications, but implementing it requires substantial expertise: developers must identify recoverable state, choose globally consistent checkpoint points, and preserve application invariants during restart. We study whether frontier LLM cod...
H. Nguyen, Tekin Bicer, Kyle Chard et al.· 0 citations
Emerging computer hardware often trades reliability for energy efficiency; here we show that large-language models (LLMs) can be trained to tolerate this unreliability, and that rather than degrading, their error resilience actually increases as they grow. Modified neural scaling laws inferred from 40,000 GPU-hours of...
T. McCourt, I. Fiete, Isaac L. Chuang· 0 citations
Zeroth-order (ZO) optimization is an attractive option for memory-efficient LLM fine-tuning, but its fault tolerance remains underexplored. Unlike first-order training, ZO progress can be represented by lightweight seed-and-scalar step logs, yet naive log-only recovery still incurs replay cost that grows with training...
Min-Qiu Sun, Xin Huang, Luan-Zheng Guo et al.· 0 citations
Compiler fuzzing is critical for ensuring the reliability of modern optimizing compilers. However, traditional generators and raw Large Language Model (LLM) outputs often yield syntactically invalid or low-value programs, incurring significant computational overhead. In this paper, we present BanditFuzz, an end-to-end...
Dong-Hui Li, Ying-Ying Li, Jin-Long Xu et al.· Proceedings of the 41st IEEE...· 0 citations
A harness instruments the shared self-consistent-field driver of GAMESS at twelve sites and applies identical, deterministic faults to the original and LLM-modernized implementations, isolating the converted integral kernels.
Evan Coleman, Yuzhong Shen, M. Sosonkina et al.· 0 citations
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