cs.AR

Papers

• GauS: Differentiable Scheduling Optimization via Gaussian Reparameterization (2026)
  Yaohui Cai et al.
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• GrateTile: Efficient Sparse Tensor Tiling for CNN Processing (2020)
  Yu-Sheng Lin et al.
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• Scaling up HBM Efficiency of Top-K SpMV for Approximate Embedding Similarity on FPGAs (2021)
  Alberto Parravicini et al.
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• A Full-Stack Search Technique for Domain Optimized Deep Learning Accelerators (2022)
  Dan Zhang et al.
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• G-CoS: GNN-Accelerator Co-Search Towards Both Better Accuracy and Efficiency (2021)
  Yongan Zhang et al.
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• Accelerating Large-Scale Graph-based Nearest Neighbor Search on a Computational Storage Platform (2022)
  Ji-Hoon Kim et al.
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• PQA: Exploring the Potential of Product Quantization in DNN Hardware Acceleration (2024)
  Ahmed F. AbouElhamayed et al.
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• Chameleon: a Heterogeneous and Disaggregated Accelerator System for Retrieval-Augmented Language Models (2025)
  Wenqi Jiang et al.
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• Efficient Data Access Paths for Mixed Vector-Relational Search (2024)
  Viktor Sanca and Anastasia Ailamaki
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• HASS: Hardware-Aware Sparsity Search for Dataflow DNN Accelerator (2024)
  Zhewen Yu et al.
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• Efficient and Reliable Vector Similarity Search Using Asymmetric Encoding with NAND-Flash for Many-Class Few-Shot Learning (2024)
  Hao-Wei Chiang et al.
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• Experimental comparison of graph-based approximate nearest neighbor search algorithms on edge devices (2024)
  Ali Ganbarov et al.
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• Accelerating Retrieval-Augmented Generation (2024)
  Derrick Quinn et al.
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• MEMHD: Memory-Efficient Multi-Centroid Hyperdimensional Computing for Fully-Utilized In-Memory Computing Architectures (2025)
  Do Yeong Kang et al.
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• Harmonia: Enhancing Data Placement and Migration in Hybrid Storage Systems via Multi-Agent Reinforcement Learning (2026)
  Rakesh Nadig et al.
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• CrossNAS: A Cross-Layer Neural Architecture Search Framework for PIM Systems (2025)
  Md Hasibul Amin et al.
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• REIS: A High-Performance and Energy-Efficient Retrieval System with In-Storage Processing (2025)
  Kangqi Chen et al.
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• Clo-HDnn: A 4.66 TFLOPS/W and 3.78 TOPS/W Continual On-Device Learning Accelerator with Energy-efficient Hyperdimensional Computing via Progressive Search (2025)
  Chang Eun Song et al.
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• JSPIM: A Skew-Aware PIM Accelerator for High-Performance Databases Join and Select Operations (2025)
  Sabiha Tajdari et al.
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• DCC: Data-Centric Compilation of Machine Learning Kernels for Processing-In-Memory Architectures (2026)
  Peiming Yang et al.
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• HDDB: Efficient In-Storage SQL Database Search Using Hyperdimensional Computing on Ferroelectric NAND Flash (2025)
  Quanling Zhao et al.
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• CAMformer: Associative Memory is All You Need (2025)
  Tergel Molom-Ochir et al.
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• SpANNS: Optimizing Approximate Nearest Neighbor Search for Sparse Vectors Using Near Memory Processing (2026)
  Tianqi Zhang et al.
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• FaTRQ: Tiered Residual Quantization for LLM Vector Search in Far-Memory-Aware ANNS Systems (2026)
  Tianqi Zhang et al.
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• Physical Analogue Kolmogorov-Arnold Networks based on Reconfigurable Nonlinear-Processing Units (2026)
  Manuel Escudero et al.
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• bsort: A theoretically efficient non-comparison-based sorting algorithm for integer and floating-point numbers (2026)
  Benjam\'in Guzm\'an
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• An FPGA Implementation of Displacement Vector Search for Intra Pattern Copy in JPEG XS (2026)
  Qiyue Chen et al.
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• Hardware-Software Co-Design of Scalable, Energy-Efficient Analog Recurrent Computations (2026)
  Arthur Fyon et al.
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• EVA: Accelerating LLM Decoding via an Efficient Vector Quantization Architecture (2026)
  Bowen Duan et al.
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• RouteScan: A Non-Intrusive Approach to Auditing MoE LLMs Safety via Expert Routing Telemetry (2026)
  Bo Lv et al.
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