6 citations · 7 across the 6 of their papers we have counts for
6 papers
AutoTSMM: An Auto-tuning Framework for Building High-Performance Tall-and-Skinny Matrix-Matrix Multiplication on CPUs
Chendi Li, Haipeng Jia, Hang Cao +6
In recent years, general matrix-matrix multiplication with non-regular-shaped input matrices has been widely used in many applications like deep learning and has drawn more and mor…
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…