In this video from SC15, Rich Brueckner from insideHPC talks to contestants in the Student Cluster Competition. Using hardware loaners from various vendors and Allinea performance tools, nine teams went head-to-head to build the fastest HPC cluster.
TUM Germany Wins Highest Linpack Award on RSC system at SC15 Student Cluster Competition
November 26, 2015 by
Today Russia’s RSC Group announced that Team TUMuch Phun from the Technical University of Munich (TUM) won the Highest Linpack Award in the SC15 Student Cluster Competition. The enthusiastic students achieved 7.1 Teraflops on the Linpack benchmark using an RSC PetaStream cluster with computing nodes based on Intel Xeon Phi. TUM student team took 3rd place in overall competition within 9 teams participated in SCC at SC15, so as only one European representative in this challenge.
Speeding Up Applications at SC15
November 25, 2015 by
Software for data analysis, system management, and for debugging other software were be among the innovations on display at SC15 last week. In addition to the software, novel and improved hardware will also be on display, together with an impressive array of initiatives from Europe in research and development leading up to Exascale computing.
Allinea to Extend Performance Tools at SC15
November 11, 2015 by
Allinea Software will demonstrate significant extensions to their Forge integrated development tool suite and Performance Reports analytics tool at SC15. “Version 6.0 of both products delivers for developers, users, analysts and system administrators – not only on Intel Xeon and Xeon Phi platforms, but also ARM 64-bit and OpenPOWER platforms.”
Video: Debugging and Profiling Your HPC Applications
October 29, 2015 by
David Lecomber from Allinea Software presented this talk at the Argonne Training Program on Extreme-Scale Computing. “From climate modeling to astrophysics, from financial modeling to engine design, the power of clusters and supercomputers advances the frontiers of knowledge and delivers results for industry. Writing and deploying software that exploits that computing power is a demanding challenge – it needs to run fast, and run right. That’s where Allinea comes in.”
Stepping up to the performance challenge
September 29, 2015 by
The performance-savvy HPC developer is in high demand today. Leaps in intra-node parallelism, memory performance and capacity are set to meet applications struggling to exploit existing systems head-on.
Titan Supercomputer Powers the Future of Forecasting
August 22, 2015 by
Knowing how the weather will behave in the near future is indispensable for countless human endeavors. Now, researchers at ECMWF are leveraging the computational power of the Titan supercomputer at Oak Ridge to improve weather forecasting.
Adept Project Looks at Using Software to Conserve Energy
August 12, 2015 by
In this special guest feature, Tom Wilkie from Scientific Computing World writes that software approaches to energy efficiency in HPC may yield unexpected improvements in the hardware of next-generation mobile phone networks. “Adept, a European research project addressing the energy-efficient use of parallel technologies, is expected to release a set of benchmarks that it has developed to characterize the energy consumption of programming models on different architectures.”
Tuning Bioinformatics Codes with Allinea Performance Reports
August 3, 2015 by
In this video from ISC 2015, Mark O’Connor from Allinea demonstrates how the company’s Performance Reports tool enables coders to speed up the Discovar bioinformatics code. “Allinea Performance Reports are the most effective way to characterize and understand the performance of HPC application runs. One single-page HTML report elegantly answers a range of vital questions for any HPC installation.”
Allinea Training Coming to XSEDE15 Conference
July 24, 2015 by
Training on Allinea Software will be a featured segment at the XSEDE15 conference in St. Louis next week. The event is designed to help scientists and developers make more efficient use of their time and system allocations.
