Thanks Ali and Korey.

My checkout is about a month old so that could be the issue.  I'll take a
look tomorrow.
MSHR settings are okay.  I'm using the atomic-reported memory latencies
(dcache_latency and icache_latency) to compute access latencies in my model.
 I assume these are as accurate as the timing or O3 CPU latencies for
single-threaded workloads.

If I keep having issues I'm happy to share the CPU model but it's a research
prototype configured to do exotic researchy sorts of things so I'm not sure
how helpful that would be.  =)

On Wed, May 18, 2011 at 11:33 PM, Korey Sewell <[email protected]> wrote:

> I'd also take a look at how many MSHRs you are giving your caches and see
> if it matches w/your cpu model. For example, if you only have 2 mshrs, but
> your model is issuing up to 8 speculative loads, its a chance your system
> may be under provisioned and eventually lose some performance.
>
>
> On Thu, May 19, 2011 at 12:28 AM, Ali Saidi <[email protected]> wrote:
>
>> Hi Marc,
>>
>> If you haven't updated your code recently, I committed some changes last
>> week at fixed some dependency issues with the ARM condition codes in the o3
>> cpu model. Previously any instruction that wrote a condition code would have
>> to do a read-modify-write operation on all the condition codes together
>> meaning that a string of instructions that set condition codes were all
>> dependent on each other. The committed code fixes this issue and sees
>> improvement of up to 22% on some spec benchmarks.
>>
>> If that doesn't fix the issue, you'll need to see where the o3 model is
>> stalling on your workload. Some of the statistics might help narrow it down
>> a bit. The model should be able to issue dependent instructions in
>> back-to-back cycles, and executes instruction speculatively (including
>> loads).
>>
>> Any chance you'd share your cpu model? Are you sure you're accounting for
>> memory latency correctly in it? The atomic memory mode completes a
>> load/store instantly, so if you're not correctly accounting for the real
>> time it would take for that load/store to complete that could be part of the
>> issue.
>>
>> Ali
>>
>> On May 18, 2011, at 9:21 PM, Marc de Kruijf wrote:
>>
>> > Hi all,
>> >
>> > I recently extended the atomic CPU model to simulate a deeply-pipelined
>> two-issue in-order machine.  The code includes variable length instruction
>> latencies, checks for register dependences, has full bypass/forwarding
>> capability, and so on.  I have reason to believe it is working as it should.
>> >
>> > Curiously, when I run binaries using this CPU model, it frequently
>> outperforms the O3 CPU model in terms of cycle count.  The O3 model I
>> compare against is also two-issue, has a 8-entry load queue, 8-entry store
>> queue, 16-entry IQ, 32-entry ROB, extra physical regs, but is otherwise
>> configured identically.  The in-order core models identical branch
>> prediction with a rather generous 13-cycle mispredict penalty for the
>> two-issue core (e.g. as in ARM Cortex-A8), and still achieves better
>> performance in most cases.
>> >
>> > I'm finding it hard to parse through all the O3 trace logs, so I was
>> wondering if anyone has intuition as to why this might be the case.  Does
>> the O3 CPU not do full bypassing?  Is there speculation going on beyond just
>> branch prediction?  I plan to look into the source code in more detail, but
>> I was wondering if someone could give me a leg up by pointing me in the
>> right direction.
>> >
>> > I've also noticed when I set the MemRead and MemWrite latencies in
>> src/cpu/o3/FuncUnitConfig.py to anything greater than 1, O3 performance
>> slows down quite drastically (~10% per increment).  This doesn't really make
>> sense to me either.  I'm not configuring with a massive instruction window,
>> but I wouldn't expect performance to suffer quite so much.  If it helps, all
>> my simulations so far are just using ARM.
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>
>
>
> --
> - Korey
>
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