activity
20152026
most citedAutoTSMM: An Auto-tuning Framework for Building High-Performance Tall-and-Skinny Matrix-Matrix Multiplication on CPUs

6 citations · 7 across the 5 of their papers we have counts for

collaborators

5 papers

cs.DC2026

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…

cs.DC2023★ 1 cited

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,…

cs.DC2022

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…

cs.DC2022★ 6 cited

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…

cs.DC2015

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…