Question

A data engineer argues that the team's new data center GPUs should replace the CPUs for a nightly batch job that parses log files one line at a time, applying complex branching business rules with heavy sequential dependencies between records. Why is this reasoning likely flawed?

Accepted Answer

GPUs excel at massively parallel, arithmetic-heavy workloads but perform poorly on inherently serial, branch-heavy tasks with sequential dependencies, where high-clock-speed CPU cores are better suited.

Answer

GPUs cannot execute conditional branching logic at all, so any workload containing if/else rules must run on a CPU.

Answer

GPUs have higher clock speeds than CPUs, so the sequential dependencies would actually be resolved faster on the GPU.

Answer

GPUs lack access to system memory, so they can never process large log files regardless of the workload type.