21 citations · 50 across the 18 of their papers we have counts for
8 papers · 1 filter
IAAT: A Input-Aware Adaptive Tuning framework for Small GEMM
Jianyu Yao, Boqian Shi, Chunyang Xiang +4
GEMM with the small size of input matrices is becoming widely used in many fields like HPC and machine learning. Although many famous BLAS libraries already supported small GEMM, t…
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…
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…
The Scalability for Parallel Machine Learning Training Algorithm: Dataset Matters
Daning Cheng, Hanping Zhang, Fen Xia +2
To gain a better performance, many researchers put more computing resource into an application. However, in the AI area, there is still a lack of a successful large-scale machine l…
Asynchronous COMID: the theoretic basis for transmitted data sparsification tricks on Parameter Server
Daning Cheng, Shigang Li, Yunquan Zhang
Asynchronous FTRL-proximal and L2 norm done at server are two widely used tricks in Parameters Server which is an implement of delayed SGD. Their commonness is leaving parts of upd…
Optimized Password Recovery for Encrypted RAR on GPUs
Xiaojing An, Haojun Zhao, Lulu Ding +2
RAR uses classic symmetric encryption algorithm SHA-1 hashing and AES algorithm for encryption, and the only method of password recovery is brute force, which is very time-consumin…