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3 changed files with 59 additions and 134 deletions
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# Come riprodurre i risultati
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Perchè tutto il team possa collaborare al progetto, è importante che tutti sappiano come abbiamo fatto a ottenere un certo risultato.
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## Come compilare
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Per compilare il codice a noi assegnato, è necessario:
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1. Accedere alla cartella in cui è contenuto:
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```console
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$ cd ./atax
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```
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2. Eseguire il Makefile:
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```console
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$ make atax.elf
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```
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## Come debuggare e profilare
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Ho configurato il [Makefile](OpenMP/linear-algebra/kernels/atax/Makefile) con un phony target che esegue il programma 25 volte e calcola il tempo di esecuzione medio:
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1. Accedere alla cartella in cui è contenuto:
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```console
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$ cd ./atax
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```
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2. Eseguire il Makefile:
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```console
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$ make bench
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```
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> Nota: funziona solo su sistemi UNIX-like!
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> Nota2: ricordarsi di fare module load cuda e assegnare poi il giusto path a nvcc (sia su .vscode/c_cpp_properties.json sia nel Makefile)
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69
README.md
69
README.md
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@ -17,37 +17,86 @@
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## Results
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## Results
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Results can be read in the ex.txt file where we stored all the
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```
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experiments done.
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Flags: -DMINI_DATASET
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CB*** Average of 3 runs: 1.03e-05 seconds
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Flags: -DMINI_DATASET -DHPC_INCLUDE_INIT
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CB*** Average of 3 runs: 1.27e-05 seconds
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Flags: -DMINI_DATASET -DHPC_USE_CUDA
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CB*** Average of 3 runs: 0.00123 seconds
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Flags: -DMINI_DATASET -DHPC_INCLUDE_INIT -DHPC_USE_CUDA
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CB*** Average of 3 runs: 0.00161 seconds
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Flags: -DSMALL_DATASET
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CB*** Average of 3 runs: 0.0014 seconds
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Flags: -DSMALL_DATASET -DHPC_INCLUDE_INIT
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CB*** Average of 3 runs: 0.00344 seconds
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Flags: -DSMALL_DATASET -DHPC_USE_CUDA
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CB*** Average of 3 runs: 0.00971 seconds
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Flags: -DSMALL_DATASET -DHPC_INCLUDE_INIT -DHPC_USE_CUDA
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CB*** Average of 3 runs: 0.0112 seconds
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Flags: -DSTANDARD_DATASET
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CB*** Average of 3 runs: 0.0876 seconds
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Flags: -DSTANDARD_DATASET -DHPC_INCLUDE_INIT
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CB*** Average of 3 runs: 0.188 seconds
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Flags: -DSTANDARD_DATASET -DHPC_USE_CUDA
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CB*** Average of 3 runs: 0.201 seconds
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Flags: -DSTANDARD_DATASET -DHPC_INCLUDE_INIT -DHPC_USE_CUDA
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CB*** Average of 3 runs: 0.0647 seconds
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Flags: -DLARGE_DATASET
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CB*** Average of 3 runs: 0.35 seconds
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Flags: -DLARGE_DATASET -DHPC_INCLUDE_INIT
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CB*** Average of 3 runs: 0.746 seconds
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Flags: -DLARGE_DATASET -DHPC_USE_CUDA
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CB*** Average of 3 runs: 0.26 seconds
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Flags: -DLARGE_DATASET -DHPC_INCLUDE_INIT -DHPC_USE_CUDA
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CB*** Average of 3 runs: 0.278 seconds
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Flags: -DEXTRALARGE_DATASET
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CB*** Average of 3 runs: 0.789 seconds
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Flags: -DEXTRALARGE_DATASET -DHPC_INCLUDE_INIT
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CB*** Average of 3 runs: 1.68 seconds
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Flags: -DEXTRALARGE_DATASET -DHPC_USE_CUDA
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CB*** Average of 3 runs: 0.647 seconds
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Flags: -DEXTRALARGE_DATASET -DHPC_INCLUDE_INIT -DHPC_USE_CUDA
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CB*** Average of 3 runs: 0.665 seconds
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```
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### Validation
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### Validation
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* Compiler used: **nvcc**
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> Compiler used: **nvcc**
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* Device used: `JETSON NANO DEVELOPER KIT`
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> ```
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* Built on: Mon_Mar_11_22:13:24_CDT_2019 Cuda compilation tools, release 10.0, V10.0.326
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> Built on Mon_Mar_11_22:13:24_CDT_2019
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> Cuda compilation tools, release 10.0, V10.0.326
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> ```
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>
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> Device used: **Unimore Jetson Nano #8**
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To reproduce the obtained results:
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To reproduce the obtained results:
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1. Clone the repository on @Steffo99's computer:
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1. Load the CUDA module:
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```console
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$ module load cuda
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```
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2. Clone the repository on @Steffo99's computer:
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```console
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```console
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$ git clone https://github.com/Steffo99/unimore-hpc-assignments
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$ git clone https://github.com/Steffo99/unimore-hpc-assignments
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```
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```
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2. Checkout the exact commit the tests were executed on:
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3. Checkout the exact commit the tests were executed on:
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```console
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```console
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$ git checkout d13a9b786a53d5195ae17ef7afa776e2600ce8e0
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$ git checkout d13a9b786a53d5195ae17ef7afa776e2600ce8e0
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```
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```
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3. Access our group's assigned folder:
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4. Access our group's assigned folder:
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```console
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```console
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$ cd unimore-hpc-assignments/atax
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$ cd unimore-hpc-assignments/atax
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```
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```
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4. Run the benchmarking script:
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5. Run the benchmarking script:
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```console
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```console
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$ make bench
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$ make bench
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90
ex.txt
90
ex.txt
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2d6448e5aa3707370b837a37db4eb880ca06ddb7
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Performed on GTX 1070 driver 525.60.11 with atomic add on double number.
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Flags: -DMINI_DATASET
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CB*** Average of 3 runs: 3.33e-06 seconds
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Flags: -DMINI_DATASET -DHPC_INCLUDE_INIT
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CB*** Average of 3 runs: 8.33e-06 seconds
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Flags: -DMINI_DATASET -DHPC_USE_CUDA
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CB*** Average of 3 runs: 6.8e-05 seconds
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Flags: -DMINI_DATASET -DHPC_INCLUDE_INIT -DHPC_USE_CUDA
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CB*** Average of 3 runs: 7.2e-05 seconds
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Flags: -DSMALL_DATASET
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CB*** Average of 3 runs: 0.000563 seconds
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Flags: -DSMALL_DATASET -DHPC_INCLUDE_INIT
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CB*** Average of 3 runs: 0.00139 seconds
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Flags: -DSMALL_DATASET -DHPC_USE_CUDA
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CB*** Average of 3 runs: 0.000229 seconds
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Flags: -DSMALL_DATASET -DHPC_INCLUDE_INIT -DHPC_USE_CUDA
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CB*** Average of 3 runs: 0.000309 seconds
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Flags: -DSTANDARD_DATASET
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CB*** Average of 3 runs: 0.0276 seconds
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Flags: -DSTANDARD_DATASET -DHPC_INCLUDE_INIT
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CB*** Average of 3 runs: 0.0664 seconds
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Flags: -DSTANDARD_DATASET -DHPC_USE_CUDA
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CB*** Average of 3 runs: 0.00938 seconds
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Flags: -DSTANDARD_DATASET -DHPC_INCLUDE_INIT -DHPC_USE_CUDA
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CB*** Average of 3 runs: 0.0128 seconds
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Flags: -DLARGE_DATASET
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CB*** Average of 3 runs: 0.109 seconds
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Flags: -DLARGE_DATASET -DHPC_INCLUDE_INIT
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CB*** Average of 3 runs: 0.243 seconds
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Flags: -DLARGE_DATASET -DHPC_USE_CUDA
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CB*** Average of 3 runs: 0.0449 seconds
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Flags: -DLARGE_DATASET -DHPC_INCLUDE_INIT -DHPC_USE_CUDA
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CB*** Average of 3 runs: 0.0459 seconds
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Flags: -DEXTRALARGE_DATASET
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CB*** Average of 3 runs: 0.248 seconds
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Flags: -DEXTRALARGE_DATASET -DHPC_INCLUDE_INIT
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CB*** Average of 3 runs: 0.584 seconds
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Flags: -DEXTRALARGE_DATASET -DHPC_USE_CUDA
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CB*** Average of 3 runs: 0.0971 seconds
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Flags: -DEXTRALARGE_DATASET -DHPC_INCLUDE_INIT -DHPC_USE_CUDA
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CB*** Average of 3 runs: 0.108 seconds
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--------------------------------------------------------
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d13a9b786a53d5195ae17ef7afa776e2600ce8e0
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Experiment after changing a index of the vector Y
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nothing special changed but i place it here.
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Performed on jetson nano with atomic add on float number.
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Flags: -DMINI_DATASET
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CB*** Average of 3 runs: 1.03e-05 seconds
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Flags: -DMINI_DATASET -DHPC_INCLUDE_INIT
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CB*** Average of 3 runs: 1.27e-05 seconds
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Flags: -DMINI_DATASET -DHPC_USE_CUDA
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CB*** Average of 3 runs: 0.00123 seconds
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Flags: -DMINI_DATASET -DHPC_INCLUDE_INIT -DHPC_USE_CUDA
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CB*** Average of 3 runs: 0.00161 seconds
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Flags: -DSMALL_DATASET
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CB*** Average of 3 runs: 0.0014 seconds
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Flags: -DSMALL_DATASET -DHPC_INCLUDE_INIT
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CB*** Average of 3 runs: 0.00344 seconds
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Flags: -DSMALL_DATASET -DHPC_USE_CUDA
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CB*** Average of 3 runs: 0.00971 seconds
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Flags: -DSMALL_DATASET -DHPC_INCLUDE_INIT -DHPC_USE_CUDA
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CB*** Average of 3 runs: 0.0112 seconds
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Flags: -DSTANDARD_DATASET
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CB*** Average of 3 runs: 0.0876 seconds
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Flags: -DSTANDARD_DATASET -DHPC_INCLUDE_INIT
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CB*** Average of 3 runs: 0.188 seconds
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Flags: -DSTANDARD_DATASET -DHPC_USE_CUDA
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CB*** Average of 3 runs: 0.201 seconds
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Flags: -DSTANDARD_DATASET -DHPC_INCLUDE_INIT -DHPC_USE_CUDA
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CB*** Average of 3 runs: 0.0647 seconds
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Flags: -DLARGE_DATASET
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CB*** Average of 3 runs: 0.35 seconds
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Flags: -DLARGE_DATASET -DHPC_INCLUDE_INIT
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CB*** Average of 3 runs: 0.746 seconds
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Flags: -DLARGE_DATASET -DHPC_USE_CUDA
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CB*** Average of 3 runs: 0.26 seconds
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Flags: -DLARGE_DATASET -DHPC_INCLUDE_INIT -DHPC_USE_CUDA
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CB*** Average of 3 runs: 0.278 seconds
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Flags: -DEXTRALARGE_DATASET
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CB*** Average of 3 runs: 0.789 seconds
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Flags: -DEXTRALARGE_DATASET -DHPC_INCLUDE_INIT
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CB*** Average of 3 runs: 1.68 seconds
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Flags: -DEXTRALARGE_DATASET -DHPC_USE_CUDA
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CB*** Average of 3 runs: 0.647 seconds
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Flags: -DEXTRALARGE_DATASET -DHPC_INCLUDE_INIT -DHPC_USE_CUDA
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CB*** Average of 3 runs: 0.665 seconds
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