An Accurate and Efficient Large-scale Regression Method through Best Friend Clustering

no code implementations • 22 Apr 2021 • Kun Li, Liang Yuan, Yunquan Zhang, Gongwei Chen

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 provided by high-performance computing hardware.

Clustering regression

AIPerf: Automated machine learning as an AI-HPC benchmark

1 code implementation • 17 Aug 2020 • Zhixiang Ren, Yongheng Liu, Tianhui Shi, Lei Xie, Yue Zhou, Jidong Zhai, Youhui Zhang, Yunquan Zhang, WenGuang Chen

The de facto HPC benchmark LINPACK can not reflect AI computing power and I/O performance without representative workload.

AutoML Benchmarking +1

HPC AI500: A Benchmark Suite for HPC AI Systems

no code implementations • 27 Jul 2019 • Zihan Jiang, Wanling Gao, Lei Wang, Xingwang Xiong, Yuchen Zhang, Xu Wen, Chunjie Luo, Hainan Ye, Yunquan Zhang, Shengzhong Feng, Kenli Li, Weijia Xu, Jianfeng Zhan

In this paper, we propose HPC AI500 --- a benchmark suite for evaluating HPC systems that running scientific DL workloads.