With the ongoing work in the CS TWG, the chairs will present the latest updates from the membership of the working group.
You are here
Accelerating Near Real-time Analytics with High Performance Object Storage
---
Learn what is happening in NVMe to support Computational Storage devices.
Computational Storage is a new field that is addressing performance and scaling issues for compute with traditional server architectures.
NVMe and SNIA are both working on standards related to Computational Storage. The question that is continually asked is are these efforts are compatible or at odds with each other.
This presentation looks at a computational storage use-case within the Human Cell Atlas genomics research and discovers that the deployed HW CS engine is insufficient and why this is the case.
Computational Storage offers near-data acceleration, and it is gaining popularity with recent commercialization and standardization efforts.
- Changwoo MinVirginia Tech
The exploration of computation near flash storage has been prompted by the advent of network-attached flash-based storage enclosures operating at tens of gigabytes/sec, server memory bandwidths str
- Sean GibbEideticom
- Andrew MaierEideticom
Data center systems power consumption is currently one of the biggest concern and green computing is main industry interest.
- Yangwook KangSamsung Semiconductor, Inc.
Apache Ozone is a highly scalable distributed object storage system and also provides the file system interface.
Large-scale data analytics, machine learning, and big data applications often require the storage of a massive amount of data.
We examine the benefits of using computational storage devices like Xilinx SmartSSD to offload the compression to achieve an ideal compression scheme where higher compression ratios are achieved wi