In two benchmarks run by Toyota, Swarm64 DA (Database Accelerator) used in conjunction with a server containing an Intel® Programmable Acceleration Card (PAC) with Intel Arria® 10 GX FPGA boosted open-source PostgreSQL/PostGIS performance by a factor of 3x and delivered more predictable query performance (with 35x less latency variance) under concurrent loads. Swarm64 DA is an FPGA-accelerated, PostgreSQL relational database used for enterprise data analytics. When Swarm64 is installed, it programs the FPGA with hundreds of processes that work in parallel to write, read, filter, compress, and decompress data contained within database tables. This massive added parallelism lowers the CPUs’ workloads and increases their throughput. The overall result is much better server performance using fewer servers, which reduces overall TCO.
The results of these two PostgreSQL/PostGIS benchmarks are documented in a new White Paper titled “Measuring the impact of FPGA acceleration on PostGIS concurrent query performance at Toyota,” which is now available on the Swarm64 Web site. Tripling server performance means, for example, that a 5-node cluster of FPGA-equipped servers can handle the same PostgreSQL load as a 15-node cluster of servers equipped only with CPUs. This outcome has profound implications for capital equipment and operating costs in data centers. Put simply, FPGA-equipped servers with appropriate acceleration software can handle many more database workloads.
The benchmarks consisted of two scenarios:
Test Scenario 1: Obstacle detection. Find the list of vehicles that have been within 2 km of a random location within the last 6 minutes. The scenario assesses the efficiency of FPGA acceleration for the geospatial-optimized functions of PostGIS.
Test Scenario 2: Analytics scenario on the NYC Taxi Dataset, a 267 gigabyte table consisting of 1.1 billion rows of data. This data set is too large to be held in the servers’ RAM and therefore required SSD accesses.
In Test Scenario 1, the FPGA-equipped servers delivered more consistent query performance – with 35x less latency variance – and 3x faster performance over 3200 queries while scaling the number of concurrent users from 1 to 32. In Test Scenario 2, query response latency dropped by a factor of 2x to 3x using FPGA-accelerated servers, depending on the query.
To download a copy of the White Paper from Swarm64, click here.
Note: Swarm64 is a member of the Intel® FPGA Partner Program.
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