2 citations · 4 across the 14 of their papers we have counts for
14 papers
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…
Stencil-Lifting: Hierarchical Recursive Lifting System for Extracting Summary of Stencil Kernel in Legacy Codes
Mingyi Li, Junmin Xiao, Siyan Chen +5
We introduce Stencil-Lifting, a novel system for automatically converting stencil kernels written in low-level languages in legacy code into semantically equivalent Domain-Specific…
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,…
An Accurate and Efficient Large-scale Regression Method through Best Friend Clustering
Kun Li, Liang Yuan, Yunquan Zhang +1
As the data size in Machine Learning fields grows exponentially, it is inevitable to accelerate the computation by utilizing the ever-growing large number of available cores provid…
An Efficient Vectorization Scheme for Stencil Computation
Kun Li, Liang Yuan, Yunquan Zhang +3
Stencil computation is one of the most important kernels in various scientific and engineering applications. A variety of work has focused on vectorization and tiling techniques, a…
Reducing Redundancy in Data Organization and Arithmetic Calculation for Stencil Computations
Kun Li, Liang Yuan, Yunquan Zhang +3
Stencil computation is one of the most important kernels in various scientific and engineering applications. A variety of work has focused on vectorization techniques, aiming at ex…
AutoFlow: Hotspot-Aware, Dynamic Load Balancing for Distributed Stream Processing
Pengqi Lu, Liang Yuan, Yunquan Zhang +2
Stream applications are widely deployed on the cloud. While modern distributed streaming systems like Flink and Spark Streaming can schedule and execute them efficiently, streaming…
AGCM-3DLF: Accelerating Atmospheric General Circulation Model via 3D Parallelization and Leap-Format
Hang Cao, Liang Yuan, He Zhang +1
The Atmospheric General Circulation Model (AGCM) has been an important research tool in the study of climate change for decades. As the demand for high-resolution simulation is bec…
Temporal Vectorization for Stencils
Liang Yuan, Hang Cao, Yunquan Zhang +3
Stencil computations represent a very common class of nested loops in scientific and engineering applications. Exploiting vector units in modern CPUs is crucial to achieving peak p…
A Measurement Theory of Locality
Liang Yuan, Chen Ding, Peter Denning +1
Locality is a fundamental principle used extensively in program and system optimization. It can be measured in many ways. This paper formalizes the metrics of locality into a measu…