In this video from the 2015 OLCF User Meeting, Buddy Bland from Oak Ridge presents: Present and Future Leadership Computers at OLCF. “As the home of Titan, the fastest supercomputer in the USA, OLCF has an exciting future ahead with the 2017 deployment of the Summit supercomputer. Summit will deliver more than five times the computational performance of Titan’s 18,688 nodes, using only approximately 3,400 nodes when it arrives in 2017.”
Today GENCI announced a collaboration with IBM aimed at speeding up the path to exascale computing. “The collaboration, planned to run for at least 18 months, focuses on readying complex scientific applications for systems under development expected to achieve more than 100 petaflops, a solid step forward on the path to exascale. Working closely with supercomputing experts from IBM, GENCI will have access to some of the most advanced high performance computing technologies stemming from the rapidly expanding OpenPOWER ecosystem.”
“Data centric workloads are growing in importance in high-performance computing and, in an industry that has been dominated by a handful of technologies for several years, this has led users to look for new technologies which better suit such jobs. The demand now is for low power, high memory, and I/O-intensive solutions, so there is a growing niche which can be addressed by solutions which are less focused on Flops performance.”
Today IBM along with Nvidia and two U.S. Department of Energy National Laboratories today announced a pair of Centers of Excellence for supercomputing – one at the Lawrence Livermore National Laboratory and the other at the Oak Ridge National Laboratory. The collaborations are in support of IBM’s supercomputing contract with the U.S. Department of Energy. They will enable advanced, large-scale scientific and engineering applications both for supporting DOE missions, and for the Summit and Sierra supercomputer systems to be delivered respectively to Oak Ridge and Lawrence Livermore in 2017 and to be operational in 2018.
“We present results for a platform consisting of an NVM Express SSD, a CAPI accelerator card and a software stack running on a Power8 system. We show how the threading of the Power8 CPU can be used to move data from the SSD to the CAPI card at very high speeds and implement accelerator functions inside the CAPI card that can process the data at these speeds.”