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Parallel space-efficient minimal perfect hash function on SIMD and GPU

License: GNU General Public License v3.0

CMake 0.65% C++ 94.47% Cuda 3.85% Shell 0.43% Dockerfile 0.10% TeX 0.49%

gpurecsplit's People

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gpurecsplit's Issues

Non-architecture specific parallel RecSplit?

I recently moved to a Mac with M2 Max processor and building the project fails due to missing header file (see below). I was curious if there was a parallel version of RecSplit that does not depend on x86-specific instructions? (It wasn't clear to me from the code.)

#0 2.266 [ 97%] Building CXX object CMakeFiles/recsplit_construction.dir/benchmark/benchmark_construction.cpp.o
#0 2.331 In file included from /opt/gpurecsplit/include/function/../util/Vector.hpp:31,
#0 2.331                  from /opt/gpurecsplit/include/function/RecSplitRotate.hpp:45,
#0 2.331                  from /opt/gpurecsplit/benchmark/benchmark_construction.hpp:30,
#0 2.331                  from /opt/gpurecsplit/benchmark/benchmark_construction.cpp:1:
#0 2.331 /opt/gpurecsplit/include/function/../util/../support/common.hpp:41:10: fatal error: x86intrin.h: No such file or directory
#0 2.331    41 | #include <x86intrin.h>
#0 2.331       |          ^~~~~~~~~~~~~
#0 2.331 compilation terminated.

Number of objects used README experiments

The readme provides Throughput numbers, but I'm wondering what is the dataset size used.
Typically I would assume that throughput is higher for small sets and lower for larger datasets due to caching and such, so it's useful to provide this number.

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