1 citations · 2 across the 13 of their papers we have counts for
13 papers
CFP: Efficient Optimization of Intra-Operator Parallelism Plans for Large Model Training
Weifang Hu, Xuanhua Shi, Yunkai Zhang +7
Optimizing the parallel training of large models requires exploring intra-operator parallelism plans for a computation graph that typically contains tens of thousands of primitive…
gECC: A GPU-based high-throughput framework for Elliptic Curve Cryptography
Qian Xiong, Weiliang Ma, Xuanhua Shi +5
Elliptic Curve Cryptography (ECC) is an encryption method that provides security comparable to traditional techniques like Rivest-Shamir-Adleman (RSA) but with lower computational…
Hyperbolic Hypergraph Neural Networks for Multi-Relational Knowledge Hypergraph Representation
Mengfan Li, Xuanhua Shi, Chenqi Qiao +2
Knowledge hypergraphs generalize knowledge graphs using hyperedges to connect multiple entities and depict complicated relations. Existing methods either transform hyperedges into…
Generalization-Enhanced Code Vulnerability Detection via Multi-Task Instruction Fine-Tuning
Xiaohu Du, Ming Wen, Jiahao Zhu +5
Code Pre-trained Models (CodePTMs) based vulnerability detection have achieved promising results over recent years. However, these models struggle to generalize as they typically l…
Iterative Refinement of Project-Level Code Context for Precise Code Generation with Compiler Feedback
Zhangqian Bi, Yao Wan, Zheng Wang +7
Large Language Models (LLMs) have shown remarkable progress in automated code generation. Yet, LLM-generated code may contain errors in API usage, class, data structure, or missing…
Graph for Science: From API based Programming to Graph Engine based Programming for HPC
Yu Zhang, Zixiao Wang, Jin Zhao +5
Modern scientific applications predominantly run on large-scale computing platforms, necessitating collaboration between scientific domain experts and high-performance computing (H…