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SparseFT: Sparsity-aware Fault Tolerance for Reliable CNN Inference on GPUs.

, , , , , and . PACT, page 337-338. IEEE, (2023)

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Rules of Convergence - What Would Become the Face of the Internet TV?, , , , and . PACIS, page 25. AISeL, (2001)TLB index-based tagging for cache energy reduction., , and . ISLPED, page 85-90. IEEE/ACM, (2011)Split-CNN: Splitting Window-based Operations in Convolutional Neural Networks for Memory System Optimization., and . ASPLOS, page 835-847. ACM, (2019)Touché: Towards Ideal and Efficient Cache Compression By Mitigating Tag Area Overheads., , , , and . MICRO, page 453-465. ACM, (2019)Attaché: Towards Ideal Memory Compression by Mitigating Metadata Bandwidth Overheads., , , , , and . MICRO, page 326-338. IEEE Computer Society, (2018)Ternary cache: Three-valued MLC STT-RAM caches., , and . ICCD, page 83-89. IEEE Computer Society, (2014)SparseFT: Sparsity-aware Fault Tolerance for Reliable CNN Inference on GPUs., , , , , and . PACT, page 337-338. IEEE, (2023)Residue cache: a low-energy low-area L2 cache architecture via compression and partial hits., , , and . MICRO, page 420-429. ACM, (2011)TEPS: Transient Error Protection Utilizing Sub-word Parallelism., and . ISVLSI, page 286-291. IEEE Computer Society, (2009)Facto-CNN: Memory-Efficient CNN Training with Low-rank Tensor Factorization and Lossy Tensor Compression., , and . ACML, volume 222 of Proceedings of Machine Learning Research, page 662-677. PMLR, (2023)