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

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

collaborators

5 papers

cs.AR20243 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…

cs.AR2023

NDSEARCH: Accelerating Graph-Traversal-Based Approximate Nearest Neighbor Search through Near Data Processing

Yitu Wang, Shiyu Li, Qilin Zheng +5

Approximate nearest neighbor search (ANNS) is a key retrieval technique for vector database and many data center applications, such as person re-identification and recommendation s…

cs.AR2023

Block-Wise Mixed-Precision Quantization: Enabling High Efficiency for Practical ReRAM-based DNN Accelerators

Xueying Wu, Edward Hanson, Nansu Wang +9

Resistive random access memory (ReRAM)-based processing-in-memory (PIM) architectures have demonstrated great potential to accelerate Deep Neural Network (DNN) training/inference.…

cs.LG2023

SiDA-MoE: Sparsity-Inspired Data-Aware Serving for Efficient and Scalable Large Mixture-of-Experts Models

Zhixu Du, Shiyu Li, Yuhao Wu +7

Mixture-of-Experts (MoE) has emerged as a favorable architecture in the era of large models due to its inherent advantage, i.e., enlarging model capacity without incurring notable…