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Concurrency is a powerful tool for doing huge amounts of computation on today's multi-core computers. But that power is limited by the design of paralleling the problem and its implementation using threads and locks. We'll start with a sub-optimal concurrent Go program and walk through improving it - iterating on finding the program's bottleneck, improving it, and seeing the program get faster. We'll also cover general tips and tricks of concurrent optimization to apply to your own computationally intensive programs.