Dec. 15th , 2014 … James Lin today announced Shanghai Jiao Tong University has joined the OpenPOWER Foundation, an open development community based on the POWER microprocessor architecture.
Shanghai Jiao Tong University joins a growing roster of technology organizations working collaboratively to build advanced server, networking, storage and acceleration technology as well as industry leading open source software aimed at delivering more choice, control and flexibility to developers of next-generation, hyperscale and cloud data centers. The group makes POWER hardware and software available to open development for the first time, as well as making POWER intellectual property licensable to others, greatly expanding the ecosystem of innovators on the platform.
The supercomputer “π” built in Shanghai Jiao Tong University is one of top supercomputers around Chinese universities. The High Performance Computing Center (HPCC) at Shanghai Jiao Tong University is also one of the top centers all over the universities in China and NVIDIA CUDA Center of Excellence. HPCC promotes research and teaching on campus, provides supercomputing services , computational science and engineering for scientists, researcher, staff and students in Shanghai Jiao Tong University.
“We are very glad to be a member of the OpenPower Foundation. Hoping we can contribute to it.“ says James Lin (Vice Director of HPCC).
“The development model of the OpenPOWER Foundation is one that elicits collaboration and represents a new way in exploiting and innovating around processor technology,” says Michelle Hunt (Executive Director of OpenPOWER Foundation). “With the Power architecture designed for Big Data and Cloud, new OpenPOWER Foundation members like Shanghai Jiao Tong University, will be able to add their own innovations on top of the technology to create new applications that capitalize on emerging workloads.”
insideHPC: Today IEEE announced that Satoshi Matsuoka from the Tokyo Institute of Technology is the recipient of the 2014 Sydney Fernbach Award. The award was established in 1992 in memory of Sidney Fernbach, one of the pioneers in the development and application of high performance computers for the solution of large computational problems.
Satoshi Matsuoka has been a Full Professor at the Global Scientific Information and Computing Center (GSIC), a Japanese national supercomputing center hosted by the Tokyo Institute of Technology, since 2001. He received his Ph. D. from the University of Tokyo in 1993. He is the leader of the TSUBAME series of supercomputers, including TSUBAME2.0 which was the first supercomputer in Japan to exceed Petaflop performance and became the 4th fastest in the world on the Top500 in Nov. 2010, as well as the recent TSUBAME-KFC becoming #1 in the world for power efficiency for both the Green 500 and Green Graph 500 lists in Nov. 2013. He is also currently leading several major supercomputing research projects, such as the MEXT Green Supercomputing, JSPS Billion-Scale Supercomputer Resilience, as well as the JST-CREST Extreme Big Data. He has written over 500 articles according to Google Scholar, and chaired many ACM/IEEE conferences, including the Technical Paper Chair at SC09, the Community Program Chair at SC11, and the overall Technical Program Chair at SC13. He is a fellow of the ACM and European ISC, and has won many awards, including the JSPS Prize from the Japan Society for Promotion of Science in 2006, awarded by his Highness Prince Akishino, the ACM Gordon Bell Prize in 2011, and the Commendation for Science and Technology by the Minister of Education, Culture, Sports, Science and Technology in 2012.
7月24日全天，交大高性能计算中心联合NVIDIA公司、材料学院在材料学院A500报告厅举办了HPC Seminar 系列之“MD on π”活动。该活动为高性能计算中心深入学院进行HPC培训的第一站，旨在支持材料学院更好使用π上的GPU资源，提高机时使用效率。 活动以Molecular Dynamics（简称MD）应用在π集群的GPU资源使用为主题。超过80名校内外师生参与（大部分来自材料学院），由于培 训内容与学科高度结合，在一整天的培训中，气氛非常活跃，参与师生表现出对GPU计算的极大兴趣，休息及Q&A环节讨论亦非常激烈。上午的活动以 GPU/CUDA基本编程知识为主，下午的活动以高性能计算中心集群上支持GPU的MD应用介绍为主。
上午的活动中，来自NVIDIA的 工程师罗华平简单介绍了GPU的应用现状和基础，介绍了NVIDIA公司在提升GPU性能功耗比和简化编程上做出的巨大努力。报告指出，GPU相对于 CPU，具有十分强悍的性能而相对较低的功耗，目前世界上能耗较低的超级计算机（按Green500排名）基本上使用GPU为主要计算资源。而目前GPU 的编程也在不断进步中，不仅CUDA的编程更加简单，逐渐成熟的OpenACC也使得GPU编程更加容易上手，编程者可以在短短数小时内获得较高的性能提 升，而NVLink技术的发布则能够非常有效缓解目前GPU计算中PCIE带宽不足的瓶颈。 阅读全文…
HPCwire: The man pacing the edge of the meeting room was increasingly convinced that at least one, and possibly most, of his colleagues were borderline idiots. He tried again to bring perspective to their latest argument: