CIPRES Parallel Codes

Parallel tools currently supported by the CIPRES Science Gateway

Tool Major Versions Language Compiler Cluster Cores
charged
MPI library Threading Other Software
ASTRAL (CPU) 5.15.4 Java/C++ Clang Expanse 8 - 16   Java  
ASTRAL (GPU) 5.15.4 Java/C++ GNU Expanse 1,2,or 4 GPU*   Java/OpenCL  
ASTRAL-Hybrid 1.16 C++ GNU Expanse 4 - 48   Pthreads  
ASTRAL-Pro 1.16 C++ GNU Expanse 4 - 48   Pthreads  
BAli-Phy 3.6.1 Python/C++ GNU Expanse 1-6   bash  
BEAST 1.8 (CPU) 1.8.4 Java/C++ GNU Expanse 1 - 3   Java BEAGLE 4.0.0
BEAST 1.8 (GPU) 1.8.4 Java/C++ GNU Expanse 1 or 4 GPU*   Java/CUDA BEAGLE 4.0.0
BEAST 1.10 (CPU) 1.10.4 Java/C++ GNU Expanse 3 - 4   Pthreads BEAGLE 3.1.2
BEAST 1.10 (GPU) 1.10.4 Java/C++ GNU Expanse 1 GPU*   CUDA BEAGLE 3.1.2
BEAST2 (CPU) 2.6.6,2.7.6 Java/C++ GNU Expanse 1 - 64   Java BEAGLE 4.0.0
BEAST2 (GPU) 2.6.6,2.7.6 Java/C++ GNU Expanse 1 or 4 GPU*   Java/CUDA BEAGLE 4.0.0
EPA-ng 0.3.8 C++ GNU Expanse 48   OpenMP  
ExaBayes 1.5.1 C++ Clang Expanse 24 - 128 OpenMPI    
FastTree 2.1.10 C Intel Expanse 8 - 32   OpenMP  
GARLI 2.1 C++ Clang Expanse 1 - 50 OpenMPI    
G-PhoCS 1.3.2 C Intel Expanse 6 - 24   OpenMP  
IMa3 1.11 C++ Intel Expanse 48 - 128 OpenMPI    
IQ-TREE 1.6.12, 2.1.2, 2.3.2 C++ Clang Expanse 6 - 128   OpenMP SPRNG; Eigen3
jModelTest2 2.1.10 Java   Expanse 16 - 32   Java PhyML 3.0
MAFFT 7.505 C Clang Expanse 8 - 32   Pthreads  
MIGRATE-N 4.4.4, 5.0.4 C Clang Expanse 1 - 128 OpenMPI    
ModelTest-NG 0.1.7 C++ GNU Expanse 22 - 38   Pthreads PLL
MrBayes 3.2.6, 3.2.7a C/C++ GNU Popeye 2 - 32 OpenMPI   BEAGLE 3.1.2
Muscle Parallel 5.1 C++ GNU Expanse 32-128   OpenMP  
ParallelStructure 2.3.4 C + R Intel + GNU Expanse 1 - 32   R  
PAUP 4a168 C GNU Expanse 1 - 128   Pthreads  
PhyloBayes 1.8c C++ Intel Expanse 48 - 96 MVAPICH2    
RAxML 8.2.12 C GNU Expanse 8 - 128 OpenMPI Pthreads  
RAxML-NG 1.2.1 C++ GNU Expanse 6 - 128   Pthreads  
RevBayes 1.2.1 C++ GNU Expanse 2 - 64 OpenMPI    
StatAlign 3.4 Java   Expanse 1-2 MPJ Java  

 

*Each GPU is charged as 20 cpu cores. So a 4 GPU run will be charged as 4*20=80 cpu cores per hour.

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