✎ start [Rodinia]

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====== Rodinia: Accelerating Compute-Intensive Applications with Accelerators ======
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 3.1 ([[https://web.archive.org/web/20180227025117/http://www.cs.virginia.edu:80/~skadron/wiki/rodinia/index.php/TechnicalDoc|Version history]])
Rodinia is designed for heterogeneous computing infrastructures with OpenMP, OpenCL and CUDA implementations.

^ Applications    ^ Dwarves       ^ Domains         ^Parallel Model         ^Incre. Ver. ^
|[[Leukocyte|Leukocyte]]|Structured Grid|Medical Imaging|CUDA, OMP, OCL|✔|
|[[Heart_Wall|Heart Wall]]|Structured Grid|Medical Imaging|CUDA, OMP, OCL||
|[[MUMmerGPU|MUMmerGPU]]|Graph Traversal|Bioinformatics|CUDA, OMP||
|[[CFD_Solver|CFD Solver]]|Unstructured Grid|Fluid Dynamics|CUDA, OMP, OCL||
|[[LU_Decomposition|LU Decomposition]]|Dense Linear Algebra|Linear Algebra|CUDA, OMP, OCL|✔|
|[[HotSpot|HotSpot]]|Structured Grid|Physics Simulation|CUDA, OMP, OCL||
|[[Back_Propagation|Back Propogation]]|Unstructured Grid|Pattern Recognition|CUDA, OMP, OCL||
|[[Needleman-Wunsch|Needleman-Wunsch]]|Dynamic Programming|Bioinformatics|CUDA, OMP, OCL|✔|
|[[Kmeans|Kmeans]]|Dense Linear Algebra|Data Mining|CUDA, OMP, OCL||
|[[Graph_traversal|Breadth-First Search]]|Graph Traversal|Graph Algorithms|CUDA, OMP, OCL||
|[[SRAD|SRAD]]|Structured Grid|Image Processing|CUDA, OMP, OCL|✔|
|[[Streamcluster1|Streamcluster1]]|Dense Linear Algebra|Data Mining|CUDA, OMP, OCL||
|[[Particle_Filter|Particle Filter]]|Structured Grid|Medical Imaging|CUDA, OMP, OCL||
|[[PathFinder|PathFinder]]|Dynamic Programming|Grid Traversal|CUDA, OMP, OCL||
|[[Gaussian_Elimination|Gaussian Elimination]]|Dense Linear Algebra|Linear Algebra|CUDA, OCL||
|[[k-Nearest_Neighbors|k-Nearest Neighbors]]|Dense Linear Algebra|Data Mining|CUDA, OMP, OCL||
|[[LavaMD2|LavaMD2]]|N-Body|Molecular Dynamics|CUDA, OMP, OCL||
|[[Myocyte|Myocyte]]|Structured Grid|Biological Simulation|CUDA, OMP, OCL||
|[[B+_Tree|B+ Tree]]|Graph Traversal|Search|CUDA, OMP, OCL||
|[[GPUDWT|GPUDWT]]|Spectral Method|Image/Video Compression|CUDA, OCL||
|[[Hybrid_Sort|Hybrid Sort]]|Sorting|Sorting Algorithms|CUDA, OCL||
|[[Hotspot3D|Hotspot3D]]|Structured Grid|Physics Simulation|CUDA, OCL, OMP|Hotspot for 3D IC|
|[[Huffman|Huffman]]|Finite State Machine|Lossless data compression|CUDA, OCL||