Crunching Machine Learning And Databases Together On GPUs
While it is always best to have the right tool for the job, it is better still if a tool can be used by multiple jobs and therefore have its utilization be higher than it might otherwise be. This is one of the reasons why general purpose, X86-based computing took over the datacenter. Economies of scale trumped the efficiency that can come from limited scope or just leaving legacy applications alone in place on alternate platforms.
The idea of offloading computational tasks from CPUs to GPU accelerators took off in academia a little more than a decade ago, and …
Crunching Machine Learning And Databases Together On GPUs was written by Timothy Prickett Morgan at The Next Platform.