On Tue, 25 Apr 2006 09:48:21 -0400
Chuck Swiger <[EMAIL PROTECTED]> wrote:

> Bill Moran wrote:
> [ ... ]
> >> If you use well optimized applications, you see the larger performance 
> >> gain.  Poor optimization causes a CPU to chug along, flushing the CPU 
> >> cache 
> >> often, and slowing things down considerably.
> > 
> > I know.  That's why I'm so desperately trying to find a way to determine
> > how often the cache is being invalidated - so I can determine whether
> > larger cache sizes (such as 8M) are worthwhile.
> 
> Guys, you're confusing two things:
> "flushing the pipeline" vs. "L2 cache hit ratio".
> 
> The former happens when branch prediction/speculative execution goes awry and 
> requires the CPU to clear the pipeline of partially-executed instructions and 
> backtrack to follow the other path.  It is related to optimization quality of 
> compilers, but is not related at all to how big your L2 cache is.
> 
> The size of your L2 cache affects how much data is more local to the CPU than 
> main memory, and increasing it will improve the L2 cache hit ratio, or, 
> equivalently, reduce L2 cache misses.  This is affected by some specific 
> compiler optimizations (cf "loop unrolling"), but tends to reflect the 
> specifics 
> of the workload and how much multitasking of different programs you do more 
> than 
> the compiler.

Thanks, Chuck.

What I'm looking for is a way to measure this on the current machines
we're using so I can make a prediction as to whether larger cache
sizes will improve performance.  What I'm looking for is some sort of
counter or the like that I can use to tell what my current L2 cache
hit ratio _is_, so I can intelligently speculate as to whether another
6M of cache is worth the outrageous price.

-- 
Bill Moran
Collaborative Fusion Inc.

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