Emerging Storage and HPC Technologies to Accelerate Big Data Analytics

Author(s)/Presenter(s):
Library Content Type:
Publish Date: 
Thursday, September 18, 2014
Abstract: 

The storage and HPC (High Performance Computing) markets started to use and evaluate a new set of emerging technologies in order to face the big data performances challenges, including lower latency, fast computing and low power consumption. Current technologies include memories (Nandflash, MRAM, RRAM, PCM…), interfaces (PCIe & NVMe, NV-DIMM, CAPI, NVlink, HMC...) and controllers (FPGA, RISC CPU...). This presentation will review all these technologies and explain how it helps big data analytics in term of processing performances, data access latency and power consumption. In addition, an overview of the next decade technology generation will be presented.

Learning Objectivies

New memories performances
Interfaces specification and model use
Alternative to x86 CPUs