Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

AIWC #201

Open
wants to merge 203 commits into
base: master
Choose a base branch
from
Open

AIWC #201

wants to merge 203 commits into from

Conversation

BeauJoh
Copy link

@BeauJoh BeauJoh commented Dec 3, 2021

Adds Architecture-Independent Workload Characterization (AIWC) plugin
Adds support for -DLLVM_ROOT_DIR=/llvm cmake argument along with the more verbose -DLLVM_DIR=/llvm/lib/cmake/llvm
Added support for Generic address space support --- needed for running DPC++-OpenCL SYCL implementation

p.s. sorry for having such a long convoluted history of commits over many files rather than one nice clean change.

BeauJoh and others added 30 commits November 9, 2017 15:07
…eated/run, this can be used to bound some of the other metrics in the feature-space
…when a barrier has been hit and cleared in a workitem
… was leading to an unsigned integer underflow
…ew metrics are printed at the end of the OpenCL program, since they are outside the scope of any kernel. To this end, these results are printed to a new aiwc_memory_transfers_*.csv file.
…labels are named during this stage of IR simulation
Don't store the size of memory operations as it's not used in later analysis.
To determine the number of unique memory addresses, just use the keys of the
map that's used to store the count of accesses against each address.
In calculation of Local Memory Address Entropy, the address was being cast
from an unsigned to a signed int, which is incorrect for addresses where the
first bit is a one. Instead of doing a division (by float), just use a right
shift by the chosen number of bits.
Calculation of granularity was using inverse of number of instructions,
but should have been inverse of number of work items.
Move granularity and barriers-per-instruction to Thread-Level Parallelism
(renamed from Instruction Level Parallelism).
BeauJoh and others added 30 commits November 23, 2021 20:53
Merge in changes from original Oclgrind
Recover Benjamin's commit on generic memory space
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

Successfully merging this pull request may close these issues.

4 participants