20 citations · 20 across the 5 of their papers we have counts for
5 papers
Efficient model compression with Random Operation Access Specific Tile (ROAST) hashing
Aditya Desai, Keren Zhou, Anshumali Shrivastava
Advancements in deep learning are often associated with increasing model sizes. The model size dramatically affects the deployment cost and latency of deep models. For instance, mo…
Measurement and Analysis of GPU-accelerated Applications with HPCToolkit
Keren Zhou, Laksono Adhianto, Jonathon Anderson +6
To address the challenge of performance analysis on the US DOE's forthcoming exascale supercomputers, Rice University has been extending its HPCToolkit performance tools to support…
GPA: A GPU Performance Advisor Based on Instruction Sampling
Keren Zhou, Xiaozhu Meng, Ryuichi Sai +1
Developing efficient GPU kernels can be difficult because of the complexity of GPU architectures and programming models. Existing performance tools only provide coarse-grained sugg…
Quadboost: A Scalable Concurrent Quadtree
Keren Zhou, Guangming Tan, Wei Zhou
Building concurrent spatial trees is more complicated than binary search trees since a space hierarchy should be preserved during modifications. We present a non-blocking quadtree-…
Parse Concurrent Data Structures: BST as an Example
Keren Zhou, Guocheng Niu, Wuzhao Zhang +2
Designing concurrent data structures should follow some basic rules. By separating the algorithms into two phases, we present guidelines for scalable data structures, with a analys…