How to caluculate the storage capacity consistent with the paper according to arch file

[Z-KN]

How to caluculate the storage capacity consistent with the paper according to arch file

[hqjenny]

Hi @Z-KN, the buffer size calculation follows the eqn:
entries x word-bits x 2 for double buffering = 16384 * 8 * 2 b = 32KB

[Z-KN]

All right. Thanks!
And I am also curious that what instances mean here? When I want to modify the storage specification, sometimes it will raise an assertion error "inner_instances % curr_instances == 0". Why must inner instances must be multiples of current instances? For example, from Fig. 2 in the paper, an input buffer and a weight buffer are in a juxtaposition rather than a hierarchy, right? So why is there a restriction imposed on the numerical relationship of these two types of instances?

[hqjenny]

Instance indicates the total number of a specific component in the architecture.

Inner instances are enforced to be multiples of current instances so we know the exact number of spatial fanouts of each current instance in a hierarchical memory abstraction. e.g. 1 parent instance will be communicating with X child instances.

It is a very good point that input and weight buffer are juxtaposition, and there shouldn't be a constraint imposing the relationship between them. However, I believe the constraints are required by the hierarchical memory abstraction that Timeloop implements. If you want to have 1 input and 2 weight instances, you might want to swap their levels.
If you would like to have 3 input and 4 weight buffers both connected to 12 MACs, it is not supported, but 2 input and 6 weight buffers (inner) is allowed.

For more Timeloop specification questions, in case you were not aware, here is a useful resource to look at: https://timeloop.csail.mit.edu/timeloop/input-formats/design/architecture.

[Z-KN]

Oh I see. Does it mean that you have to restrict the number of instances because you need to follow Timeloop's requirements? But in reality, input buffers and weight buffers are somewhat decoupled, can CoSA deal with that case of scheduling (like 3 input and 4 weight buffers; not considering Timeloop)?

[hqjenny]

It is a very good question. CoSA formulation should be able to handle the scenario you described. You can add per tensor spatial constraints instead of using the unified spatial constraints for all tensors.

[Z-KN]

OK, I understand it as currently, CoSA does not support such a configuration.

[hqjenny]

It is more because the simulator does not support such configurations.
If you have a simulator that supports such configuration, you can make CoSA work by adding the constraints I mentioned above. It should be a relatively straightforward change.

Basically, instead of constraining the spatial factors at a specific level with
Sum (log_spatial_RSPQCKN) < log_hierarchical_fanout

You can sum up certain tensor related utilization and constrain it.
Sum(log_spatial_RSCK) < log_parallel_weight_fanout
Sum(log_spatial_HWCN) < log_parallel_input_fanout
Sum(log_spatial_PQKN) < log_parallel_output_fanout

[Z-KN]

Thanks a lot! I understand.