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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

Author

Nai-Feng Jing

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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
Preprint Aug 2026

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

Vision-Language-Action (VLA) models have demonstrated remarkable capabilities in the field of embodied AI, but their high computational cost and limited predicted action length hinder real-time deployment. Although Dadu-Corki, a dedicated accelerator for efficient embodied AI, has been introduced, it does not exploit t...

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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