Nearly 80% of total data processing time is spent on tasks such as filtering, aggregation, sorting, and format conversion. NTT Data conducted proof-of-concept tests aimed at improving data processing performance for these tasks. The tests employed an Intel® FPGA Programmable Acceleration Card (Intel® FPGA PAC) to process Linux audit logs, resulting in processing speeds more than four times faster than the same processing done in exclusively in software.
Two factors drove this exercise:
- The advent of Intel FPGA PACs and other associated technologies have now made it far easier for companies to incorporate FPGAs as processing elements in data center servers.
- HLS technology—which enables engineers to use programming languages with C-like syntaxes for application development targeting FPGAs—makes it easier for software engineers to develop applications that target FPGAs.
Performance improvements enabled by FPGA processing have two key benefits in the data center:
- Fewer Servers. FPGA processing improves each server’s processing capacity and thus reduces the number of servers needed for a given task. Server aggregation reduces hardware acquisition and construction costs and lowers running costs, which include operation, maintenance, space, and power.
- Reduced cloud instance usage time. Customers are charged by the processing time used in a cloud environment so shortening processing time reduces user costs and makes cloud services more economically attractive to end users.
A new six-page White Paper titled “Effective Use of FPGAs for Data Utilization” provides extensive technical details and discussions, results, and test conditions for these NTT Data acceleration tests. Click here to download the White Paper.
For more information about application acceleration for Intel® Xeon® CPUs with FPGAs in the data center, see the Intel® FPGA Acceleration Hub.
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