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- Added a parameter to the cache configuration to configure the set index function.
- Added a hash set index function to the Fermi L1 data cache for the two default cache sizes, 16KB/48KB with 32/64 sets.
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Review ID: 89001
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for specific caches.
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Main contribution is a static warp limiting scheduler.
There is also some minor cleanup to the heirarchy of the cache code and removal some excessively long lines
Review ID: 36001 lgtm: 1
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increment HIT_RESERVED). Reviewed in person by Tim.
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statistics from the tag array to the cache access functions. Added cache_stats class to record all memory accesses and access outcomes to each cache. Removed L2CacheAccessBreakdown_t. Cleaned up power_stats to reflect changes in the cache stats. Updated the cache stats printing. This will cause the performance gold files to change as the output format has been changed.
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even if flushing L1 cache between kernels option is not set
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L1 Cache and Shared Memory configurations across kernels. The support
enable the user to specify two more configurations (Preferred L1) or
(Preferred Shared Memory) besides the default config. If the
cudaFuncSetCacheConfig API is used to set the cache configuration
of a specific kernel to either of these configuration (cudaFuncCachePreferShared,
cudaFuncCachePreferL1), the simulator will change the cache configuration
at kernel launch accordingly, if there is no alternative configurations
provided to the simulator it will use the default configurations with a
warning message display
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that categorize access by their access type (global memory read/write, local memory read/write, instruction read, ... etc.).
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//depot/gpgpu_sim_research/fermi_locality/...
to //depot/gpgpu_sim_research/fermi/...
Adding in some protected constructors to the core cache classes.
This allows us to customize caches (for example having them use a custom tag array) more easily.
Also I made the in-class tag_array object in the baseline_cache into a pointer. This allows derived classes to easily create custom tag arrays.
I think in general, class extendibility is increased when pointers are used instead of in-object storage.
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tag_array so they can allocate their own type of lines
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index generation and storing tag/block address.
- Added l2_cache_config class to extend the baseline
- Allow custom set_index per cache. Modified L2 set_index function to use the memory partition address
- Modified the cache tag to now be tag+set_index (same as the block address). Useful for more complex set index generation functions that can allow different indexes to map to the same set.
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//depot/gpgpu_sim_research/fermi_power/distribution/...
to //depot/gpgpu_sim_research/fermi/distribution/...
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policies>, <MSHR>, <Miss queue/FIFO sizing>
- Fixing default configurations to match the new format and additonal parameters
- Fixing Fermi's 48kB cache configuration
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as per Wilson's request
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access functions. Removes the multiple long flaky branches in the access functions (caused by multiple config options) and replaces them with a single function that is set in the constructor to reflect the current configuration.
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Separated the L1 and L2 cache access() implementations. Removed PRIVATE/SHARED cache scope configurations.
Added WRITE_EVICT cache write policy.
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(Doxygen notation).
Removing some error checking /debugging code
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gpu-cache.h to gpu-cache.cc for mshr_table, baseline/read_only/data/texture_caches
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replication, implemented write allocate / write back policies in L2 cache, added configurable parameters in gpgpusim.config ("W" = Write Allocate, "N" = No write allocate -> "P" = Private, "S" = shared), modified the cache configuration lines to always be separated by ":" instead of ":" and ",", and modified L1 and L2 data cache to be "Write Back" caches instead of "Read Only".
Still need to implement Ahmed's sectored cache implementation.
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136 for details.
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passing CUDA 3.1 regression
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- read only cache model with integrated mshrs (no L1D, yet); new
cache interface should be easily extendable to support texture
cache with latency fifo and separate tag/data arrays, though
this is not yet added (currently tags and data arrays are not
decoupled for texture)
- new partition model using the above
removes all old MSHRs, L1D etc...
passing CUDA 3.1 regression
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(and parse it before creating the simulator objects).
2. creating core_config to hold only features of a shader_core that are high
level enough either (a) the functional simulator needs to know about them,
or (b) they affect memory *access* generation.
3. in config files only (so far) separate out notion of write-{through,back},
from notion of when a line is allocated... will use this to distinguish
different types of caches.
passing CUDA 3.1 regression
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2. starting to redo cache_t
3. deleting more perf counters
4. other minor cleaning
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2. moving DRAM timing parameters into memory_config class
3. removing some likely useless statistics
4. other cleaning up of code
passing CUDA 3.1 regression
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cache)
2. update gpgpusim.config for Quadro to use L1 cache geometry from Henry's ISPASS paper
3. minor edit to CUDA api : add notion of fat_cubin_handle (currently not used for anything)
4. minor edits to deadlock detection message (more accurate reporting of source of deadlock)
5. other minor edits
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cleaning up
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(i'll use "fermi" for more disruptive changes to the pipeline model such
as updating the MSHRs and getting rid of the warp tracker, ripping out DWF, etc...)
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