98 citations · 133 across the 5 of their papers we have counts for
Showing 2020Show all
3 papers · 1 filter
cs.DC2020★ 1 cited
Revisiting Huffman Coding: Toward Extreme Performance on Modern GPU Architectures
Jiannan Tian, Cody Rivera, Sheng Di +4
Today's high-performance computing (HPC) applications are producing vast volumes of data, which are challenging to store and transfer efficiently during the execution, such that da…
cs.DC2020★ 98 cited
cuSZ: An Efficient GPU-Based Error-Bounded Lossy Compression Framework for Scientific Data
Jiannan Tian, Sheng Di, Kai Zhao +8
Error-bounded lossy compression is a state-of-the-art data reduction technique for HPC applications because it not only significantly reduces storage overhead but also can retain h…
cs.DC2020★ 29 cited
TSM2X: High-Performance Tall-and-Skinny Matrix-Matrix Multiplication on GPUs
Cody Rivera, Jieyang Chen, Nan Xiong +2
Linear algebra operations have been widely used in big data analytics and scientific computations. Many works have been done on optimizing linear algebra operations on GPUs with re…