Li Rao

ORCID: 0009-0007-4484-698X
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About
Contact & Profiles
Research Areas
  • Distributed and Parallel Computing Systems
  • Parallel Computing and Optimization Techniques
  • Particle Accelerators and Free-Electron Lasers
  • Particle accelerators and beam dynamics
  • scientometrics and bibliometrics research
  • Mobile Agent-Based Network Management
  • Advanced Computational Techniques and Applications
  • Digital Transformation in Industry
  • Modular Robots and Swarm Intelligence
  • Power Systems and Technologies
  • Advanced Data Storage Technologies
  • Robotics and Automated Systems
  • Superconducting Materials and Applications
  • Magnetic confinement fusion research
  • Cloud Computing and Resource Management
  • Matrix Theory and Algorithms

Chinese Academy of Sciences
2010-2024

Institute of High Energy Physics
2024

University of Chinese Academy of Sciences
2024

China Spallation Neutron Source
2024

Karlsruhe Institute of Technology
2022

University of Surrey
2022

Shenyang Institute of Automation
2022

Arizona State University
2022

John Wiley & Sons (United States)
2022

Hudson Institute
2022

Sparse Matrix-Vector multiplication (SpMV) is an important computational kernel in scientific applications. Its performance highly depends on the nonzero distribution of sparse matrices. In this paper, we propose a new storage format for diagonal matrices, defined as Compressed Row Segment with Diagonal-pattern (CRSD). CRSD, design patterns to represent distribution. As Graphics Processing Units (GPUs) have tremendous computation power and OpenCL makes them more suitable computing, implement...

10.1109/icpp.2011.53 article EN International Conference on Parallel Processing 2011-09-01

In large-scale cluster systems, interconnecting thousands of computing nodes increase the complexity network topology. Nevertheless, few existing computational models consider impact hierarchical communication latencies and bandwidths caused by complexity. this paper we propose a new parallel model called LogGPH with parameter H incorporated into LogGP to describe hierarchy. Through predicting analyzing point-to-point collective MPI_Allgather on two 100-Terascale supercomputers, Dawning...

10.1109/cse.2010.40 article EN 2010-12-01

In this paper, we present our early performance evaluation results with the NPB benchmark and two scientific computing applications program, i.e., a HFFT package developed by lab CFDO application software, on 100 Teraflops-scale Dawning 5000A DeepComp 7000. We compared of 7000, their corresponding predecessor, 4000A 6800, which demonstrating improvements across variety problems. From results, can find that keep its scalability up to 16384 cores while 7000 number becomes 4096. also scales...

10.1109/icpads.2009.39 article EN 2009-12-01

Abstract The design betatron tune of the Rapid Cycling Synchrotron (RCS) China Spallation Neutron Source (CSNS) is (4.86, 4.80), which allows for incoherent shifts to avoid serious systematic resonances. When operational bare was set at value, beam instability in horizontal plane and loss induced by half-integer resonance vertical under space charge detuning were observed. Simulations experiments have shown that charge-induced reduces as tunes move up away from lines. However, experimental...

10.1088/1748-0221/19/04/t04003 article EN Journal of Instrumentation 2024-04-01
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