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. The presentation shows the journey from standard system bench marking to micro-benchmarking specifically instruction per cycle analysis (IPC). This presentation also details the programming techniques used along the way, including intrinsic SIMD and inline assembler programming.
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. The presentation shows the journey from standard system bench marking to micro-benchmarking specifically instruction per cycle analysis (IPC). This presentation also details the programming techniques used along the way, including intrinsic SIMD and inline assembler programming.
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With the ongoing work in the CS TWG, the chairs will present the latest updates from the membership of the working group.
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.
Computational Storage offers near-data acceleration, and it is gaining popularity with recent commercialization and standardization efforts.
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
Data center systems power consumption is currently one of the biggest concern and green computing is main industry interest.
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
SNIA Developer Conference
September 15-17, 2025
SDC 2025 is brought to you by SNIA. SNIA is an industry association committed to its mission of worldwide leadership developing and promoting architectures, standards, education and vendor-neutral collaboration.
