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20242026
most citedA Survey: Collaborative Hardware and Software Design in the Era of Large Language Models

3 citations · 3 across the 6 of their papers we have counts for

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7 papers · 1 filter

cs.AR2026

A Shape-Adaptive Architecture with Disaggregated Quantization for Efficient LLM Serving

Cong Guo, Chiyue Wei, Bowen Duan +5

Large language models (LLMs) have become the backbone of modern AI applications, but pose significant challenges for efficient inference. Their autoregressive generation divides ex…

cs.AR2026

Vortex: Bridging Extreme Compression and Efficient LLM Inference

Haoxuan Shan, Cong Guo, Bowen Duan +6

Extreme compression techniques, including vector quantization (VQ) and input-dependent sparsity, can significantly reduce the memory footprint of large language models (LLMs). Howe…

cs.AR2026

EVA: Accelerating LLM Decoding via an Efficient Vector Quantization Architecture

Bowen Duan, Cong Guo, Chiyue Wei +8

Large Language Models (LLMs) have achieved impressive performance across diverse domains but remain inefficient during the autoregressive decoding phase. Unlike the prefill stage,…

cs.AR2025

Focus: A Streaming Concentration Architecture for Efficient Vision-Language Models

Chiyue Wei, Cong Guo, Junyao Zhang +8

Vision-Language Models (VLMs) have demonstrated strong performance on tasks such as video captioning and visual question answering. However, their growing scale and video-level inp…

cs.AR2025

Platinum: Path-Adaptable LUT-Based Accelerator Tailored for Low-Bit Weight Matrix Multiplication

Haoxuan Shan, Cong Guo, Chiyue Wei +4

The rapid scaling of large language models demands more efficient hardware. Quantization offers a promising trade-off between efficiency and performance. With ultra-low-bit quantiz…

cs.AR2024★ 3 cited

A Survey: Collaborative Hardware and Software Design in the Era of Large Language Models

Cong Guo, Feng Cheng, Zhixu Du +21

The rapid development of large language models (LLMs) has significantly transformed the field of artificial intelligence, demonstrating remarkable capabilities in natural language…

cs.AR2024

ModSRAM: Algorithm-Hardware Co-Design for Large Number Modular Multiplication in SRAM

Jonathan Ku, Junyao Zhang, Haoxuan Shan +6

Elliptic curve cryptography (ECC) is widely used in security applications such as public key cryptography (PKC) and zero-knowledge proofs (ZKP). ECC is composed of modular arithmet…