2 citations · 3 across the 4 of their papers we have counts for
4 papers
Communication-Avoiding Linear Algebraic Kernel K-Means on GPUs
Julian Bellavita, Matthew Rubino, Nakul Iyer +4
Clustering is an important tool in data analysis, with K-means being popular for its simplicity and versatility. However, it cannot handle non-linearly separable clusters. Kernel K…
ICGMM: CXL-enabled Memory Expansion with Intelligent Caching Using Gaussian Mixture Model
Hanqiu Chen, Yitu Wang, Luis Vitorio Cargnini +7
Compute Express Link (CXL) emerges as a solution for wide gap between computational speed and data communication rates among host and multiple devices. It fosters a unified and coh…
HLSTransform: Energy-Efficient Llama 2 Inference on FPGAs Via High Level Synthesis
Andy He, Darren Key, Mason Bulling +3
Graphics Processing Units (GPUs) have become the leading hardware accelerator for deep learning applications and are used widely in training and inference of transformers; transfor…
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…