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…
15th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing
May 4-7, 2015
Rapid advances in architectures, networks, and systems and middleware technologies
are leading to new concepts and platforms for computing, ranging from Clusters and
Grids to Clouds and Datacenters. The 15th Annual IEEE/ACM International Symposium
in Cluster, Cloud, and Grid Computing (CCGrid 2015) is a forum bringing together
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:
HPCwire Soundbite: Today we’ll be talking with Dr. Lorena Barba, an Associate Professor of Engineering and Applied Sciences at George Washington University. Barba is a well-known GPU computing proponent and user
From April 20 to 27, the final of the ASC Student Supercomputer Challenge (ASC14) took place at Sun Yat-Sen University in Guangzhou, China.
Shanghai Jiao Tong University was part of the 16 ASC14 finalists of the 82 teams registered from five continents.
The teams had to built a small cluster with their own design and under 3000W power limit and make the best performance of the following 5 applications:
HPL (LINPACK) , Quantum Espresso (QE), SU2, and LICOM on their own machine, as well as 3D-EW on the Tianhe-2 supercomputer.
After a hard work for four months, the SJTU team got the e Prize, the Application Innovation Award, and won the competition!
Congratulation to them!
insideHPC: A team of computer scientists, mathematicians and geophysicists have pushed the performance of the SeisSol earthquake simulation software on the SuperMUC computerat the Leibniz Supercomputing Center to beyond one petaflop, a factor of five improvement in speed.
The scientists from Technische Universitaet Muenchen (TUM) and Ludwig-Maximillians Universitaet Muenchen (LMU) were able to optimise the 70,000 lines of SeisSol code to a peak performance of 1.42 petaflops, corresponding to 44.5 per cent of Super MUC’s theoretically available capacity. This makes SeisSol one of the most efficient simulation programs of its kind worldwide.
HPCwire: The GPU Technology Conference this week in San Jose offered plenty of material for the supercomputing set with a number of presentations focused on specific programming challenges for
The HPC Center of Shanghai Jiao Tong University has been selected into this year’s CCoE achievement Award Finalist!
There were only four CCoE finalists this year :
- Shanghai Jiao Tong University, CUDA Education & Evangelism
- CUDA Achievement Award during the GTC final day Keynote
- Tokyo Tech, TSUBAME-KFC
- University of Illinois at Urbana-Champaign, Fighting HIV with CUDA
- University of Tennessee, Knoxville, Breakthroughs in Sparse Solvers