The RiVEC Benchmark Suite is a collection composed of data-parallel applications from different domains. The suite focuses on benchmarking vector microarchitectures; nevertheless, it can be used as well for Multimedia SIMD microarchitectures. Current implementation is targeting RISC-V Architectures; however, it can be easily ported to any Vector/SIMD ISA thanks to a wrapper library which we developed to map vector intrinsics and math functions to the target architecture.
The benchmark suite with all its applications and input sets is available as open source free of charge. Some of the benchmark programs have their own licensing terms which might limit their use in some cases.
Currently there are two implementations based on the Working draft of the proposed RISC-V V vector extension v0.7 and v1.0:
Vectorized Bencmark Suite for rvv-0.7. Click here.
Vectorized Bencmark Suite for rvv-1.0. Click here.
If you use this software or a modified version of it for your research, please cite the paper: Cristóbal Ramírez, César Hernandez, Oscar Palomar, Osman Unsal, Marco Ramírez, and Adrián Cristal. 2020. A RISC-V Simulator and Benchmark Suite for Designing and Evaluating Vector Architectures. ACM Trans. Archit. Code Optim. 17, 4, Article 38 (October 2020), 29 pages. https://doi.org/10.1145/3422667
| Application Name | Application Domain | Algorithmic Model | Taken From |
|---|---|---|---|
| Axpy | High Performance Computing | BLAS | - |
| Blackscholes | Financial Analysis | Dense Linear Algebra | PARSEC |
| Canneal | Engineering | Unstructured Grids | PARSEC |
| LavaMD2 | Molecular Dynamics | N-Body | Rodinia |
| Particle Filter | Medical Imaging | Structured Grids | Rodinia |
| Somier | Physics Simulation | Dense Linear Algebra | - |
| Jacobi-2D | Engineering | Dense Linear Algebra | PolyBench |
| Pathfinder | Grid Traversal | Dynamic Programming | Rodinia |
| Streamcluster | Data Mining | Dense Linear Algebra | PARSEC |
| Swaptions | Financial Analysis | MapReduce Regular | PARSEC |
We provide precompiled binaries found in the folder bin. However, it is possible to recompile the codes for both rvv versions (0.7 and 1.0). To compile for rvv-0.7 it is possible to use the LLVM EPI Compiler. The provided binaries were compiled with the version llvm-EPI-0.7-development-toolchain-cross-2021-02-23-1523. Note that the compiler is actively in development, so after a certain time, the old versions will disappear. We recommend to use the latest version.
To compile for rvv-1.0 it is possible to use the LLVM from PLCT
Here you can find the EPI Builtins reference for rvv-0.7 used to target RISC-V V-extension.
The Suite includes a makefile to compile every application, in order to use it, you must define the path to the RISC-V vector compiler.
Setting the Vector Compiler path
export LLVM=$TOP/epi-toolchain
export PATH=$PATH:$LLVM/bin
To compile any application run the command make followed by the application name
make application
For example to compile blackscholes:
make blackscholes
The same for the other applications ...
Also you can compile all the applications by typing:
make all
There are provided 5 different simulation sizes (arguments to run the application). Assuming that the application is running on a simulator, is recommended to not use "native" simulation size.
simtiny : takes seconds to be executed on gem5
simsmall : takes around 15-30 minutes to be executed on gem5
simmedium : takes around 1-2 hour to be executed on gem5
simlarge : takes around 8-24 hours to be executed on gem5
native : only for native hardware
Whe you are executing an application, you must write the following arguments to run a predefined simsize.
blackscholes_args = "1 input/in_512.input output_prices.txt"
canneal_args = "1 100 300 input/100.nets 8"
streamcluster_args = "3 10 128 128 128 10 none output.txt 1"
swaptions_args = "-ns 8 -sm 512 -nt 1"
particlefilter_args = "-x 128 -y 128 -z 2 -np 256"
pathfinder_args = "32 32 output.txt"
axpy_args = "256"
lavaMD_args = "-cores 1 -boxes1d 1 -outputFile result.txt"
somier_args = "2 64"
jacobi_2d_args = "256 1 output.txt"
blackscholes_args = "1 input/in_4K.input output_prices.txt"
canneal_args = "1 10000 2000 input/100000.nets 32"
streamcluster_args = "10 20 128 4096 4096 1000 none output.txt 1"
swaptions_args = "-ns 8 -sm 4096 -nt 1"
particlefilter_args = "-x 128 -y 128 -z 8 -np 1024"
pathfinder_args = "1024 128 output.txt"
axpy_args = "512"
lavaMD_args = "-cores 1 -boxes1d 4 -outputFile result.txt"
somier_args = "4 64"
jacobi_2d_args = "128 10 output.txt"
blackscholes_args = "1 input/in_16K.input prices.txt"
canneal_args = "1 15000 2000 input/200000.nets 64"
streamcluster_args = "10 20 128 8192 8192 1000 none output.txt 1"
swaptions_args = "-ns 32 -sm 8192 -nt 1"
particlefilter_args = "-x 128 -y 128 -z 16 -np 4096"
pathfinder_args = "2048 256 output.txt"
axpy_args = "1024"
lavaMD_args = "-cores 1 -boxes1d 6 -outputFile result.txt"
somier_args = "2 128"
jacobi_2d_args = "256 100 output.txt"
blackscholes_args = "1 input/in_64K.input prices.txt"
canneal_args = "1 15000 2000 input/400000.nets 128"
streamcluster_args = "10 20 128 8192 8192 1000 none output.txt 1"
swaptions_args = "-ns 64 -sm 16384 -nt 1"
particlefilter_args = "-x 128 -y 128 -z 24 -np 8192"
pathfinder_args = "2048 1024 output.txt"
axpy_args = "2048"
lavaMD_args = "-cores 1 -boxes1d 10 -outputFile result.txt"
somier_args = "4 128"
jacobi_2d_args = "256 2000 output.txt"
./blackscholes_serial 1 input/in_64K.input prices.txt
./blackscholes_vector 1 input/in_64K.input prices.txt
More info about how to execute the serial and vectorized versions on the gem5 Vector Architecture model can be found in he README file located in https://github.com/RALC88/gem5/blob/develop/src/cpu/vector_engine/README.md
New vectorized applications are welcome. We strongly encourage you to contribute with new apps to enrich the scenarios and diversity in the RiVEC Bencmark Suite.
We thank the European Processor Initiative (EPI) project, and the Barcelona Supercomputing Center compiler team, specially to Roger Ferrer who have always support us and solved our doubts about compiler-related issues.
Cristóbal Ramírez Lazo [email protected]