About the GPU COE at the Institute of Process Engineering (IPE) at the Chinese Academy of Sciences (CAS)
The Institute of Process Engineering (IPE) at the Chinese Academy of Sciences (CAS) was awarded an NVIDIA GPU Center of Excellence in 2009.  CAS was selected for its commitment to furthering GPU computing research and their teaching of parallel programming courses based on the CUDA architecture.  The establishment of the IPE-led GPU Center of Excellence at CAS will provide a strategic opportunity for both China and NVIDIA to take a leading role in application-oriented HPC at a critical turning point for both computing technology and process engineering. Using the GPU-CPU co-processing model, the IPE has achieved great results in complicated problems such as multi-phase reactor designs, micro-nano systems modeling and secondary and tertiary oil recovery.  They have recently established the world’s first Fermi-based supercomputer with 1 Petaflops peak performance, optimized for their multi-scale discrete simulation platform.  We believe that this emerging model will be the promising way to go for China's supercomputing industry.

About IPE
IPE was founded under the name of  Institute of Chemical Metallurgy (ICM) in 1958, after a half-century development, its R&D has extended to chemical engineering, resources and environmental protection, energy resources and materials manufacturing, and later biochemical technology and industrial and engineering chemistry.  In 2001, they formally changed its name from ICM to IPE.  The current strategy of IPE is looking into the national strategic demands on process industry and the upfront technologies of process engineering in the world, improve the ability of independent innovation, key technology innovation and system integration; select the process industry of important impact on national economy as breaking point to have some major R&D achievements so as to promote the works as a whole; set a demonstration for an environmentally friendly and informal process industry; promote the development of process industry in great length; build the institute up as a major base for process engineering theory and technology innovation at home and abroad.

The major laboratories of IPE are: State Key Laboratory of Biochemical Engineering and State Research Center of Biochemical Engineering (Beijing), State Key Laboratory of Multi-phase Complex Systems, Key Laboratory of Green Process and Engineering, Chinese Academy of Sciences, and National Engineering Laboratory for Hydrometallurgical Cleaner Production Technology (NELHCPT).

About CAS
Chinese Academy of Sciences (CAS) is a leading academic institution and comprehensive research and development center in natural science, technological science and high-tech innovation in China.   It was founded in Beijing on 1st November 1949 on the basis of the former Academia Sinica (Central Academy of Sciences) and Peiping Academy of Sciences.

CAS has been devoting itself to the reform and innovation for social and economic development, as a major driving force in the reform of the national scientific and technological system and the rejuvenation of the country’s hi-tech industry, just in the wake of the world’s science and technology development. The CAS, at present facing a new era of development, is now targeting at the national strategic needs and world frontiers of science, striving to accomplish world-class science and to continuously make fundamental, strategic and forward-looking contributions to national economic construction, national security and social sustainable development by strengthening original scientific innovation, innovation of key technologies and system integration.

About the PI
Wei Ge received his Ph. D degree from Harbin Institute of Technology in 1998 and has been professor of chemical engineering at IPE since 2006.  He proposed the so-called “pseudo-particle” model which enables simulation of macro-scale flow phenomena from microscopic physics through large-scale parallel computation, from which he extended his work to a broad range of discrete simulations and HPC applications.  As project leader, he is now devoted to the establishment of a series of multi-scale software and hardware platforms to bridge simulations of molecular details to reactor performance.  He is author of over 80 journal papers and 3 monographs.

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