Author

Hui-Shuo Feng

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Preprint Oct 2026

PlaneZip: Lossless Bit-Plane Compression of Training Activations Offloaded over PCIe

Training under a device-memory budget relies on tensor rematerialization: an evicted activation is either swapped to host memory or dropped and recomputed. Because GPU compute has outgrown PCIe bandwidth, cost-model planners such as MegTaiChi, which charge a swap its full transfer time, almost never swap, and swaps tha...

Zhu-Fang Gu, Qi-Zhe Tang, Yu-Xin Wang et al. · 0 citations

Preprint Oct 2026

SlackSwap: Bandwidth-Aware Activation Swapping and Recomputation for Memory-Efficient DNN Training

Swapping saved activations to host memory once enabled GPUs to train models that exceeded their device-memory capacity when compute throughput and host-link bandwidth were roughly balanced. For example, on a 2015 Titan X, PCIe bandwidth was sufficient to offload all VGG-16 activations during the forward pass. This bala...

Hui-Shuo Feng, Xun Zhou, Yu-Xin Wang · 0 citations