Computational Storage is a new field that is addressing performance and scaling issues for compute with traditional server architectures. This is an active area of innovation in the industry where multiple device and solution providers are collaborating in defining this architecture while actively working to create new and exciting solutions. The SNIA Computational Storage TWG is leading the way with new interface definitions with Computational Storage APIs that work across different hardware architectures. Learn how these APIs may be applied and what types of problems they can help solve.
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Computational Storage APIs
With the ongoing work in the CS TWG, the chairs will present the latest updates from the membership of the working group.
- Scott ShadleySolidigm Technology, SNIA
Learn what is happening in NVMe to support Computational Storage devices.
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.
Computational storage in general can bring unique benefits in increasing the efficiency of CPU utilization in a data processing system.
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