Rodinia:Accelerating Compute-Intensive Applications with Accelerators

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A vision of heterogeneous computer systems that incorporate diverse accelerators and automatically select the best
computational unit for a particular task is widely shared among researchers and many industry analysts; however,
there are no agreed-upon benchmarks to support the research needed in the development of such a platform. There
are many suites for parallel computing on general-purpose CPU architectures, but accelerators fall into a gap that is
not covered by previous benchmark development. Rodinia is released to address this concern.

The Rodinia Benchmark Suite, version 2.4 (Version history)

Rodinia is designed for heterogeneous computing infrastructures with OpenMP, OpenCL and CUDA implementations.

ApplicationsDwarvesDomainsParallel ModelIncre. Ver.
LeukocyteStructured GridMedical ImagingCUDA, OMP, OCL
Heart WallStructured GridMedical ImagingCUDA, OMP, OCL
MUMmerGPUGraph TraversalBioinformaticsCUDA, OMP
CFD Solver1Unstructured GridFluid DynamicsCUDA, OMP, OCL
LU Decomposition Dense Linear AlgebraLinear AlgebraCUDA, OMP, OCL
HotSpotStructured GridPhysics SimulationCUDA, OMP, OCL
Back PropagationUnstructured GridPattern RecognitionCUDA, OMP, OCL
Needleman-WunschDynamic ProgrammingBioinformaticsCUDA, OMP, OCL
KmeansDense Linear AlgebraData MiningCUDA, OMP, OCL
Breadth-First Search1Graph TraversalGraph AlgorithmsCUDA, OMP, OCL
SRADStructured GridImage ProcessingCUDA, OMP, OCL
Streamcluster1Dense Linear AlgebraData MiningCUDA, OMP, OCL
Particle FilterStructured GridMedical ImagingCUDA, OMP, OCL
PathFinderDynamic ProgrammingGrid TraversalCUDA, OMP, OCL
Gaussian EliminationDense Linear AlgebraLinear AlgebraCUDA, OCL
k-Nearest NeighborsDense Linear AlgebraData MiningCUDA, OMP, OCL
LavaMD2N-BodyMolecular DynamicsCUDA, OMP, OCL
MyocyteStructured GridBiological SimulationCUDA, OMP, OCL
B+ TreeGraph TraversalSearchCUDA, OMP, OCL

Other applications under evaluation:

ApplicationsDwarvesDomainsParallel ModelComment
GPUDWTSpectral MethodImage/Video CompressionCUDAThis benchmark will be included in the next release of Rodinia
SQLite SelectMap ReduceRelational DatabaseCUDAThis benchmark needs an OCL version and also may be too simple
3D StencilStructured GridCellular AutomationCUDAWill be superseded by a more sophisticated 3D benchmark
Hybrid SortSortingSorting AlgorithmsCUDAThis benchmark is under consideration to include in the main suite

1Ana Lucia Varbanescu and Jianbin Fang, Delft University of Technology contributed the OpenCL version.

2In collaboration with Lawrence Livermore National Laboratory.

Application Download

Please read the Rodinia license.

Several applications/libraries come with their own licenses.

Also, if your use of Rodinia results in a publication, please cite:

[1] S. Che, M. Boyer, J. Meng, D. Tarjan, J. W. Sheaffer, S.-H. Lee, and K. Skadron.
Rodinia: A Benchmark Suite for Heterogeneous Computing. In Proceedings of the IEEE
International Symposium on Workload Characterization (IISWC), pp. 44-54, Oct. 2009.

[2] S. Che, J. W. Sheaffer, M. Boyer, L. G. Szafaryn, L. Wang, and K. Skadron.
A Characterization of the Rodinia Benchmark Suite with Comparison to Contemporary
CMP Workloads. In Proceedings of the IEEE International Symposium on Workload
Characterization, Dec. 2010.

This work is supported by NSF grant nos. IIS-0612049, CNS-0916908 and CNS-0615277, a grant from the SRC under task no. 1607, and grants from AMD, NEC labs, and NVIDIA Research.

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