1 citations · 2 across the 8 of their papers we have counts for
9 papers
PrismStencil: Transforming Stencil Computations into Matrix Multiplications
Xianmeng Jiang, Yuan Liang, Zixuan Wang +2
Stencil computations are a fundamental class of workloads in scientific and engineering applications. Although Tensor Cores offer new opportunities for stencil acceleration, existi…
MakoXC: Rearchitecting DFT Exchange-Correlation with Matrix-Aligned and Knowledge-Organized Sparsity
Haozhi Han, Fusong Ju, Jing Bai +8
Density Functional Theory (DFT) is indispensable for materials science and drug discovery, yet the exchange--correlation (XC) evaluation remains a major bottleneck due to its cubic…
Unfolding an Atomistic World: Atomistic Simulation of Reactor Pressure Vessel Steel Across Year-and-Meter Scales
Haozhi Han, Ruge Zhang, Haoquan Chen +8
Lifetime prediction of reactor pressure vessel (RPV) steel requires bridging atomistic degradation mechanisms with service-scale spatial and temporal regimes, from Angstroms and pi…
SparStencil: Retargeting Sparse Tensor Cores to Scientific Stencil Computations via Structured Sparsity Transformation
Qi Li, Kun Li, Haozhi Han +7
Sparse Tensor Cores offer exceptional performance gains for AI workloads by exploiting structured 2:4 sparsity. However, their potential remains untapped for core scientific worklo…
Redundant Array Computation Elimination
Zixuan Wang, Liang Yuan, Xianmeng Jiang +3
Redundancy elimination is a key optimization direction, and loop nests are the main optimization target in modern compilers. Previous work on redundancy elimination of array comput…
Stencil Matrixization
Wenxuan Zhao, Liang Yuan, Baicheng Yan +4
Current architectures are now equipped with matrix computation units designed to enhance AI and high-performance computing applications. Within these architectures, two fundamental…
Gamify Stencil Dwarf on Cloud for Democratizing Scientific Computing
Kun Li, Zhichun Li, Yuetao Chen +7
Stencil computation is one of the most important kernels in various scientific computing. Nowadays, most Stencil-driven scientific computing still relies heavily on supercomputers,…
AIPerf: Automated machine learning as an AI-HPC benchmark
Zhixiang Ren, Yongheng Liu, Tianhui Shi +6
The plethora of complex artificial intelligence (AI) algorithms and available high performance computing (HPC) power stimulates the expeditious development of AI components with he…
Using Mineral Oil to Improve the Performance of Multi-Crystal Detector for Dark Matter Searching
J. C. Liu, C. Guo, Z. Y. Yu +13
The inorganic crystals have been widely used for dark matter direct searching for many decades. However, limited by the crystal growth technique, a lot of small crystals have to be…