He Z, Yu L, Zheng X, Ma S, He Y. Framework of AVS2-video coding, in IEEE International Conference on Image Processing, ICIP 2013, Melbourne, Australia, September 15-18, 2013.; 2013:1515–1519. 访问链接
Gan L, Fu H, Luk W, Yang C, Xue W, Yang G. Global atmospheric simulation on a reconfigurable platform, in Proc. 21st IEEE International Symposium on Field-Programmable Custom Computing Machines (FCCM'13). Seattle, Washington, USA: IEEE; 2013:230–230. 访问链接
Zhang N, Chen Y-W, Lin J-L, Fan X, Ma S, Zhao D, Gao W. Improved disparity vector derivation in 3D-HEVC, in 2013 Visual Communications and Image Processing, VCIP 2013, Kuching, Malaysia, November 17-20, 2013.; 2013:1–5. 访问链接
Zhao L, An J, Ma S, Zhao D, Fan X. Improved intra transform skip mode in HEVC, in IEEE International Conference on Image Processing, ICIP 2013, Melbourne, Australia, September 15-18, 2013.; 2013:2010–2014. 访问链接
Ma C, Dong Z, Jiang T, Wang Y, Gao W. A Method of Perceptual-Based Shape Decomposition, in IEEE International Conference on Computer Vision, ICCV 2013, Sydney, Australia, December 1-8, 2013. IEEE Computer Society; 2013:873–880. 访问链接
Wang S, Ma S, Zhang L, Wang S, Zhao D, Gao W. Multi layer based rate control algorithm for HEVC, in 2013 IEEE International Symposium on Circuits and Systems (ISCAS2013), Beijing, China, May 19-23, 2013.; 2013:41–44. 访问链接
A 2-D lateral heterogeneous model was constructed to simulate basin-edge effects using PSM/FDM method. Effects of basin-edge geometry and source depth were simulated. PGV of different models are given to illustrate the effects, and it suggests that the basin geometry and the depth of soft sediment play crucial roles in seismic ground motion study for sedimentary basin.
Ma S, Wang S, Gao W. Overview of IEEE 1857 video coding standard, in IEEE International Conference on Image Processing, ICIP 2013, Melbourne, Australia, September 15-18, 2013.; 2013:1500–1504. 访问链接
Developing highly scalable algorithms for global atmospheric modeling is becoming increasingly important as scientists inquire to understand behaviors of the global atmosphere at extreme scales. Nowadays, heterogeneous architecture based on both processors and accelerators is becoming an important solution for large-scale computing. However, large-scale simulation of the global atmosphere brings a severe challenge to the development of highly scalable algorithms that fit well into state-of-the-art heterogeneous systems. Although successes have been made on GPU-accelerated computing in some top-level applications, studies on fully exploiting heterogeneous architectures in global atmospheric modeling are still very less to be seen, due in large part to both the computational difficulties of the mathematical models and the requirement of high accuracy for long term simulations. In this paper, we propose a peta-scalable hybrid algorithm that is successfully applied in a cubed-sphere shallow-water model in global atmospheric simulations. We employ an adjustable partition between CPUs and GPUs to achieve a balanced utilization of the entire hybrid system, and present a pipe-flow scheme to conduct conflict-free inter-node communication on the cubed-sphere geometry and to maximize communication-computation overlap. Systematic optimizations for multithreading on both GPU and CPU sides are performed to enhance computing throughput and improve memory efficiency. Our experiments demonstrate nearly ideal strong and weak scalabilities on up to 3,750 nodes of the Tianhe-1A. The largest run sustains a performance of 0.8 Pflops in double precision (32% of the peak performance), using 45,000 CPU cores and 3,750 GPUs.