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Xiaoyao Liang

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Open access Aug 2026

GUMPIM: Unitary and Malleable Memory for Processing-in-Memory with Guaranteed PIM Pages

GUMPIM is proposed, a PIM system that allows interleaved CPU pages and non-interleaved PIM pages to coexist in a Unitary and Malleable memory space with Guaranteed PIM page allocation and enables zero-copy during PIM task offloading and maintains CPU memory bandwidth while ensuring low PIM offloading overhead.

Yilong Zhao, Fang-Xin Liu, Yi-Wei Hu et al. · 2 citations
Jul 2026

A Motion-Aware Vector Quantization Framework with Centroid Reuse for Efficient VLA Inference

This paper proposes VQVLA, an algorithm-hardware co-design framework that accelerates VLA inference by exploiting weight similarity and execution dynamics, and proposes a merged-centroid vectorized GEMM paradigm that operates on the codebook-index representation.

Zhuoran Song, Haozhe Jiang, Chunyu Qi et al. · 0 citations
Preprint Aug 2026

Algorithm-Architecture Co-Design for Efficient VLA Inference via Speculative Inference and Verification

Comprehensive evaluations on OpenVLA and RDT across LIBERO and ManiSkill benchmarks show that SpecVLA reduces end-to-end latency significantly while preserving task success rate, and achieves real-time robotic manipulation with both high efficiency and reliability.

Chunyu Qi, Zhuoran Song, Jian Weng et al. · 0 citations
Open access Aug 2026

GUMPIM: Unitary and Malleable Memory for Processing-in-Memory with Guaranteed PIM Pages

DRAM-based Processing-in-Memory (PIM) addresses the “memory wall” by executing computations directly inside main memory. However, memory interleaving and virtual memory limit contiguous data size visible to PIM units, constraining PIM task granularity. Fine-grained PIM tasks incur significant offloading overhead that n...

Yilong Zhao, Fangxin Liu, Yiwei Hu et al. · 1 citation

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