- 🔭 I’m currently working on GPU database and LLM system.
- 👀 I'm very interested in cloud-native databases, vector databases and machine learning systems.
- 💻 MPhil in Database Group at SUSTech from 2022.
- 👨🎓 Graduated from BUPT in 2022.
- 🔙 Have been interned in CASIA, Alibaba Ant Group and Huawei GaussDB Group.
- 📫 yangshen.d@outlook.com
- 🏠 dengyangshen.netlify.app
🤯
Working on LLM sys and GPU DB
🚀Master student in DBGroup@SUSTech.
- Shenzhen, China
-
09:41
(UTC +08:00) - https://dengyangshen.netlify.app
- https://orcid.org/0009-0003-9487-1455
Highlights
Pinned Loading
-
DBGroup-SUSTech/GPU-Merkle-Patricia-Trie
DBGroup-SUSTech/GPU-Merkle-Patricia-Trie PublicAn optimized Merkle Patricia Trie implementation on GPU, fully compatible with and integrable into Ethereum. The paper is published on VLDB 2024.
Cuda 10
-
DBGroup-SUSTech/GPUDB-Prefetch
DBGroup-SUSTech/GPUDB-Prefetch PublicSource code of our DaMoN@SIGMOD 2024 paper "How Does Software Prefetching Work on GPU Query Processing?"
Cuda 6
-
vllm-project/vllm
vllm-project/vllm PublicA high-throughput and memory-efficient inference and serving engine for LLMs
Something went wrong, please refresh the page to try again.
If the problem persists, check the GitHub status page or contact support.
If the problem persists, check the GitHub status page or contact support.