Achieve predictable performance (sponsored by Intel)
Alex Grbic explains how a single FPGA can deliver significant acceleration for multiple workloads. This new approach of integrating data analytics frameworks and existing databases enables enterprise customers to run unmodified applications without requiring any FPGA expertise and can be used with unstructured, NoSQL, and traditional relational databases, such as Swarm64.
| Talk Title | Achieve predictable performance (sponsored by Intel) |
| Speakers | Alexander Grbic (Intel) |
| Conference | O’Reilly Velocity Conference |
| Conf Tag | Build Resilient Distributed Systems |
| Location | San Jose, California |
| Date | June 20-22, 2017 |
| URL | Talk Page |
| Slides | |
| Video | Talk Video |
Microsoft has widely deployed field-programmable gate arrays (FPGAs) for accelerating search, networking, and machine learning—with a little help from the company’s software expertise and its FPGA programmers. Alex Grbic outlines a new approach of integrating data analytics frameworks and existing databases that can be used with unstructured, NoSQL, and traditional relational databases, such as Swarm64. By putting a shim to the FPGA under an existing API or to a storage engine plugin, enterprise customers without any FPGA expertise can run unmodified applications. Alex explains how a single FPGA can uniquely deliver significant acceleration for multiple workloads. This keynote is sponsored by Intel.
