Author

Xiaoming Chen

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Book Open access 2027

SparseX-PIM: Sparse Linear Algebra on Processing-in-Memory

Sparse linear algebra is a fundamental workload in scientific computing and machine learning, but its performance is severely constrained by memory bandwidth. Processing-in-memory (PIM) has shown great potential for sparse linear algebra, yet its efficiency is heavily bottlenecked by irregular computation and memory ac...

Rui Liu, Xiao-Yu Zhang, Bo-Wen Liu et al. · Proceedings of the 32nd ACM... · 0 citations

#small language model Sep 2026

DuoPIM: RRAM–DRAM Hybrid PIM Acceleration for Flexible-Batch LLM Decoding

Transformer-based large language models (LLMs) primarily consist of weight-intensive fully connected (FC) layers and cache-dependent attention layers. While batching significantly enhances the throughput of FC layers, it paradoxically increases the cache demands of attention layers. This provides no performance benefit...

Xiaotian Sun, Xinyu Wang, Wanqian Li et al. · IEEE Transactions on Compute... · 0 citations

Preprint Jul 2026

FlashAccel: Leveraging High-Bandwidth Flash (HBF) for High-Throughput LLM Inference

FlashAccel integrates HBF into HBM-based GPUs, providing architectural support to mitigate access latency and introduces an HBF-aware storage management layer together with a programming model to organize persistent data in HBF and coordinate heterogeneous memory resources at the system level.

Xinyu Wang, Yalong Xue, Xiaotian Sun et al. · 1 citation