Vendors are re-writing software and adding custom hardware in an attempt to not bottleneck extremely low latency NVMe Flash and Storage Class Memory technologies. Eventually, they all are at the mercy of physics. Data has to traverse an internal and sometimes and external network so the computing tier can process it. Computational Storage offers an alternative by performing at least some of the processing on the storage device itself, eliminating most of the network activity. Join Storage Switzerland's Lead Analyst, George Crump as he leads a panel of computational storage experts to include NGD System's Scott Shadley, ScaleFlux's Thad Omura, and Samsung's Pankaj Mehra as preview the Computational Storage Workshop at the Flash Memory Summit on Thursday, August 8th.

1. Will Your Backup
Architecture Meet
Tomorrow’s SLAs?
3 Steps to Make Sure!
For audio playback and Q&A go to:
bit.ly/ExtremePerform

2. George Crump,
Lead Analyst & Founder
Thad Omura,
EVP Marketing &
Operations
Scott Shadley,
VP of Marketing
Pankaj Mehra,
VP, Product
Planning Team
Nick Adams,
Board Member

3. what is
COMPUTATIONAL
STORAGE?

4. why does it
MATTER?

5. what are some USE
CASES & SUCCESS
STORIES?

6. Presented by Scott Shadley, VP of Marketing
ngdsystems.com info@ngdsystems.com @NGDsystems

7. Form Factor
Available
In 2019
Capacity
(TB)
MAX Power
(W)
M.2 22110 NOW up to 8 8
EDSFF E1.S Q3 up to 16 12
EDSFF E1.L Q3 Up to 32 12
U.2 15mm NOW up to 32 12
AiC FHTQL up to 64 15
NGD Systems Computational Storage Solutions
June 11, 2019 NGD Systems, Inc. – Webinar 7
>10x faster Image
Classification
40% faster
1/3 the Space
Lower TCO
Native, Real-Time
Applications
500x Faster
Image Matching
OS running
On Drive

8. Presented by Thad Omura, EVP Marketing & Operations
scaleflux.com info@scaleflux.com /scaleflux

9. 9Proprietary & Confidential
 Up to 8TB capacity
• Multi-NAND vendor
3D TLC
 GZIP, EC HW Engines
 Atomic Writes,
Namespace Streams
 Tunable latency &
performance
ScaleFlux Computational Storage
200%
Latency Consistency
Host FM & Tunable Performance
Customer Specific Workload
CSD vs. NVMe
200%
Queries Per Second
Atomic Write Support
Sysbench OLTP write-only
CSD vs. NVMe
161%
Jobs Completed
GZIP & EC Compute Engines
Teragen, Terasort
CSD+HDD vs. HDD only
3.0
*Applies to HDFS &
Up to 500%
GZIP Write Throughput
GZIP Compute Engines
FIO
CSD GZIP vs. CPU GZIP
260%
GZIP Write Throughput
GZIP Compute Engines
YCSB Load Benchmark
CSD vs. NVMe

10. Presented by Pankaj Mehra, VP - Product Planning Team
samsung.com /SamsungUS @SamsungUS

11. 11 / 7C O L L A B O R A T E . I N N O V A T E . G R O W .
Samsung SmartSSD Technology Roadmap
Roadmap to smaller FF (U.2) and greater integration with SSD controller
Moves Data out ofSSDvia CPU &Memory
Limited scalability: Funnels 3 SSDs 1 FPGA
SmartSSD PoC
InternalDataTransfer
AddsBandwidthandProcessing
withoutFunneling
U.2 V1.0 SmartSSD
External FPGA
‘Q4’2018
HHHL AIC PoC
2H’2020 ~ 1H
2021
2nd Generation
2H’2019
U.2 MP
U.2FF:ScaleProcessingto24or48devices
2/4/8TB,25W,PCIeGen3x4,~300KLUTs
for accelerationkernels
NextGenSmartSSD
GreaterIntegrationand
MoreInternalBandwidth

12. 12 / 7C O L L A B O R A T E . I N N O V A T E . G R O W .
Pushing Intelligence to Data
CPU
CPU
FPGA
/ GPU
PCIe
Today’s Architecture
Heavy domain-specific
compute in CPU
SSD
Large amount of
data transferred
SSD
SSD
TBs, PBs, EBs
dataset
PCIe
Storage and Data Acceleration
High, scalable
total internal BW
SSD
CTRL
FPGA
Accelerator
Offload,
UDF Accel.
&
Near-Data
Processing
Performance
# SmartSSD / serverNAND
Scale Performance with Data
 Concurrent processing on large amount of data
 Offloaded processing near the data
 HW acceleration of certain domain-specific fns.
 Immediate Insight from Data
Performance Ceiling
 Bottlenecks: Root complex, Ext FPGA
 Unnecessary data movement
 IO BW pressure on Host CPU, DRAM
SmartSSD
Performance
# SSDs / server
Today
CPU
Performance Ceiling
2x to 10x
DRAM
DRAM
$
CPU
CPU
DRAM
DRAM
$

13. 13 / 7C O L L A B O R A T E . I N N O V A T E . G R O W .
TPC-DS Spark Q73 (Nested scan)
• Before:
• After:
Samsung SmartSSD Illustrative Performance Profile

14. Presented by Nick Adams, Board Member
snia.org /SNIA.ORG @SNIA

15. CONTACT US
Storageswiss.com
georgeacrump@storageswiss.com
@storageswiss
storageswiss

16. Will Your Backup
Architecture Meet
Tomorrow’s SLAs?
3 Steps to Make Sure!
For complete audio and Q&A please register for the
On Demand Version: bit.ly/ExtremePerform