From the 1 of 12 linked papers with an AI index.
12 papers
Scalable High-Fidelity Macromolecular Docking for GPU-Accelerated Supercomputers
Xiangyu Meng, Peng Chen, Mingzhen Li +7
Flexible macromolecular docking offers high-fidelity predictions of biomolecular interactions, but remains prohibitively expensive at scale. Among existing approaches, LightDock le…
Efficient Computing for Medical Image Acquisition and Reconstruction
Xiao Wang, Jayasai Rajagopal, Md Safaiat Hossain +4
The chapter surveys how medical imaging modalities such as CT, MRI, PET, and SPECT reconstruct images from raw signal measurements, presenting a unified mathematical framework and…
RT-RkNN: Reverse k Nearest Neighbor Queries as a Graphics Ray Casting Problem
Zhengyang Bai, Peng Chen, Mohamed Wahib
Reverse k nearest neighbor (RkNN) queries are fundamental in spatial databases, location-based analytics, and recommendation systems. Existing state-of-the-art techniques rely on s…
SHIRO: Near-Optimal Communication Strategies for Distributed Sparse Matrix Multiplication
Chen Zhuang, Lingqi Zhang, Benjamin Brock +5
Distributed Sparse Matrix-Matrix Multiplication (SpMM) is a fundamental operation in high-performance computing and deep learning applications. The major performance bottleneck in…
RAPTOR: Practical Numerical Profiling of Scientific Applications
Faveo Hoerold, Ivan R. Ivanov, Akash Dhruv +4
The proliferation of low-precision units in modern high-performance architectures increasingly burdens domain scientists. Historically, the choice in HPC was easy: can we get away…
Balanced and Elastic End-to-end Training of Dynamic LLMs
Mohamed Wahib, Muhammed Abdullah Soyturk, Didem Unat
To reduce the computational and memory overhead of Large Language Models, various approaches have been proposed. These include a) Mixture of Experts (MoEs), where token routing aff…