NERSCPowering Scientific Discovery Since 1974

Yushu Yao

199bbde
Yushu Yao Ph.D.
HPC Consultant
Phone: (510) 486-4690
Fax: (510) 486-4316
1 Cyclotron Road
Mail Stop 943-256
Berkeley, CA 94720 US

Conference Papers

Zhengji Zhao, Mike Davis, Katie Antypas, Yushu Yao, Rei Lee and Tina Butler, "Shared Library Performance on Hopper", A paper presented in the Cray User Group meeting, Apri 29-May-3, 2012, Stuttgart, German., May 3, 2012,

Mehmet Balman, Eric Pouyoul, Yushu Yao, Loring E. Wes Bethel, Prabhat, John Shalf, Alex Sim, Brian L. Tierney, "Experiences with 100G Network Applications", Proceedings of the 5th International Workshop on Data Intensive and Distributed Computing (DIDC 2012), Delft, Netherlands, 2012,

Presentation/Talks

Yushu Yao, NERSC; Douglas Jacobsen, NERSC, Connecting to NERSC, NUG 2014, February 3, 2014,

Yushu Yao, NERSC Parallel Database Evaluation, February 12, 2013,

Zhengji Zhao, Mike Davis, Katie Antypas, Yushu Yao, Rei Lee and Tina Butler, Shared Library Performance on Hopper, A talk in the Cray User Group meeting, Apri 29-May-3, 2012, Stuttgart, German., May 3, 2012,

Posters

A. Koniges, R. Gerber, D. Skinner, Y. Yao, Y. He, D. Grote, J-L Vay, H. Kaiser, and T. Sterling, "Plasma Physics Simulations on Next Generation Platforms", 55th Annual Meeting of the APS Division of Plasma Physics, Volume 58, Number 16, November 11, 2013,

The current high-performance computing revolution provides opportunity for major increases in computational power over the next several years, if it can be harnessed. This transition from simply increasing the single-processor and network performance to a different architectural paradigms forces application programmers to rethink the basic models of parallel programming from both the language and problem division standpoints. One of the major computing facilities available to researchers in fusion energy is the National Energy Research Scientific Computing Center. As the mission computing center for DOE, Office of Science, NERSC is tasked with helping users to overcome the challenges of this revolution both through the use of new parallel constructs and languages and also by enabling a broader user community to take advantage of multi-core performance. We discuss the programming model challenges facing researchers in fusion and plasma physics in for a variety of simulations ranging from particle-in-cell to fluid-gyrokinetic and MHD models.

Babak Behzad, Joseph Huchette, Huong Luu, Suren Byna, Yushu Yao, Prabhat, "Auto-Tuning of Parallel I/O Parameters for HDF5 Applications", SC, 2012,

Surendra Byna, Jerry Chou, Oliver R\ ubel, Prabhat, Homa Karimabadi, William S. Daughton, Vadim Roytershteyn, E. Wes Bethel, Mark Howison, Ke-Jou Hsu, Kuan-Wu Lin, Arie Shoshani, Andrew Uselton, Kesheng Wu, "Parallel Data, Analysis, and Visualization of a Trillion Particles", XLDB, 2012,