Title: High Performance Computing, Computational Science, and Data Science

时间: 7月13日上午10:00

地点：东五楼210

Abstract:

The increasingly important data-intensive scientific discovery presents a critical question to the high 

performance computing (HPC) community - how to efficiently support these growing scientific big data 

applications with HPC systems that are traditionally designed for big compute applications? The 

conventional HPC systems are computing-centric and designed for computation-intensive applications. 

Scientific big data applications have different characteristics compared to big compute applications. 

These scientific applications, however, will still largely rely on HPC systems to be solved. In this talk, 

we discuss general HPC trend and some of our R&D in this space including HPC system architectures, 

data analytics methodologies and optimizations. I hope to recruit one research assistant with full financial 

support and one full-time research associate, and I will also discuss these opportunities at Texas Tech 

University.

Bio:

陈勇博士现任职美国德州理工大学计算机科学系副教授和博士生导师，从事数据密集计算、高性能计算、云计算和系统结构研究，在国际会议和期刊发表论文100余篇。他的研究获美国国家自然科学基金会、美国国防部、美国能源部和阿贡国家实验室以及橡树岭国家实验室资助。他的研究还受到业界包括Dell，NVidia，Nimboxx和Stack Velocity的资助。他也担任美国国家自然科学基金会项目资金评委、美国国家航空和宇宙航行局（NASA）项目资金评委、国际学术会议和期刊组织者多次。他荣获多项奖项包括德州理工大学Mortar Board and Omicron Delta Kappa杰出教授奖、德州理工大学工程学院杰出研究奖、IEEE TCSC (Technical Committee on Scalable Computing)青年成就奖、Ralph E. Powe青年教授奖、ACM/IEEE高性能计算杰出博士生奖、ACM/IEEE超级计算大会（SC）最佳论文和最佳学生论文提名。更多信息可以访问主页：http://www.myweb.ttu.edu/yonchen/或https://discl.cs.ttu.edu/。