High Performance Computing and Big Data analytics touch us every day. We each rely on daily weather forecasts, banking and financial information, scientific and health analyses, and thousands of other activities that involve HPC and Big Data analysis.
Satoshi Matsuoka from the Tokyo Institute of Technology discusses Big Data at the NCSA Blue Waters Symposium. “The trend towards convergence is not only strategic however but rather inevitable as the Moore’s law ends such that sustained growth in data capabilities, not compute, will advance the capacity and thus the overall capacities towards accelerating research and ultimately the industry.”
“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.”
“It’s been nearly three years since Intel acquired Whamcloud and its Lustre engineering team. With Intel’s recent announcement that Lustre will power the 2018 Aurora supercomputer at Argonne, we took the opportunity to catch up with Brent Gorda, general manager of Intel High Performance Data Division at Intel Corporation.”
“The Cray XC series DataWarp applications I/O accelerator technology delivers a balanced and cohesive system architecture from compute to storage. It allocates storage dynamically in either private (dedicated) or shared modes. Storage performance quality of service can be provided to individual applications, based on the user’s policies. While leveraging Cray’s proven domain expertise in storage, the DataWarp accelerator can be used as a global storage cache for parallel file systems (PFS) such as Lustre, General Parallel File System (GPFS) and PanFS.”