“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.”
“IBM Platform Data Manager for LSF takes control of data transfers to help organizations improve data throughput and lower costs by minimizing wasted compute cycles and conserving disk space. Platform Data Manager automates the transfer of data used by application workloads running on IBM Platform LSF clusters and the cloud, bringing frequently used data closer to compute resources by storing it in a smart, managed cache that can be shared among users and workloads.”
UCX is a collaboration between industry, laboratories, and academia to create an open-source production grade communication framework for HPC applications. “The path to Exascale, in addition to many other challenges, requires programming models where communications and computations unfold together, collaborating instead of competing for the underlying resources. In such an environment, providing holistic access to the hardware is a major component of any programming model or communication library. With UCX, we have the opportunity to provide not only a vehicle for production quality software, but also a low-level research infrastructure for more flexible and portable support for the Exascale-ready programming models.”
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.
Today IBM announced that the company is now offering Nvidia Tesla K80 GPU accelerators on bare metal cloud servers. With the new offering, IBM Cloud is bringing high-speed performance to the SoftLayer cloud infrastructure, enabling companies to build supercomputing clusters without having to expand their existing technology infrastructure.