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‎NPB-FF/README.md‎

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# The NPB-CPP Benchmark Suite in C++
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# The NPB-CPP Benchmark Suite in C++ Parallel Programming Libraries for Multicores
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The NPB's Fortran codes were carefully ported to **C++** and are fully compliant to the **NPB3.4.1** version ([NPB official webpage](https://www.nas.nasa.gov/publications/npb.html)). Our paper under review for the TOPC journal contains abundant information on how the porting was conducted and discusses the outcome performance we obtained with **NPB-CPP** on different machines (Intel Xeon, AMD Epyc and IBM Power8) and compilers (GCC and ICC). Results showed that we achieved similar performance with **NPB-CPP** compared to the original **NPB**. **You can use our paper, along with the official reports, as a guide to access performance using the NPB suite**.
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The NPB's Fortran codes were carefully ported to **C++** and are fully compliant to the **NPB3.4.1** version ([NPB official webpage](https://www.nas.nasa.gov/publications/npb.html)). Our paper under review for a journal contains abundant information on how the porting was conducted and discusses the outcome performance we obtained with **NPB-CPP** on different machines (Intel Xeon, AMD Epyc and IBM Power8) and compilers (GCC and ICC). Results showed that we achieved similar performance with **NPB-CPP** compared to the original **NPB**. **You can use our paper, along with the official reports, as a guide to access performance using the NPB suite**. You can cite our [previous work](https://doi.org/10.1109/PDP2018.2018.00120) while our new paper is not published.
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*This is a repository aimed at providing parallel codes with different C++ parallel programming APIs for the NAS Parallel Benchmarks (NPB). You can also contribute with this project, writing issues and pull requests.*
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‎NPB-OMP/README.md‎

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# The NPB-CPP Benchmark Suite in C++
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# The NPB-CPP Benchmark Suite in C++ Parallel Programming Libraries for Multicores
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The NPB's Fortran codes were carefully ported to **C++** and are fully compliant to the **NPB3.4.1** version ([NPB official webpage](https://www.nas.nasa.gov/publications/npb.html)). Our paper under review for the TOPC journal contains abundant information on how the porting was conducted and discusses the outcome performance we obtained with **NPB-CPP** on different machines (Intel Xeon, AMD Epyc and IBM Power8) and compilers (GCC and ICC). Results showed that we achieved similar performance with **NPB-CPP** compared to the original **NPB**. **You can use our paper, along with the official reports, as a guide to access performance using the NPB suite**.
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The NPB's Fortran codes were carefully ported to **C++** and are fully compliant to the **NPB3.4.1** version ([NPB official webpage](https://www.nas.nasa.gov/publications/npb.html)). Our paper under review for a journal contains abundant information on how the porting was conducted and discusses the outcome performance we obtained with **NPB-CPP** on different machines (Intel Xeon, AMD Epyc and IBM Power8) and compilers (GCC and ICC). Results showed that we achieved similar performance with **NPB-CPP** compared to the original **NPB**. **You can use our paper, along with the official reports, as a guide to access performance using the NPB suite**. You can cite our [previous work](https://doi.org/10.1109/PDP2018.2018.00120) while our new paper is not published.
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*This is a repository aimed at providing parallel codes with different C++ parallel programming APIs for the NAS Parallel Benchmarks (NPB). You can also contribute with this project, writing issues and pull requests.*
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‎NPB-SER/README.md‎

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# The NPB-CPP Benchmark Suite in C++
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# The NPB-CPP Benchmark Suite in C++ Parallel Programming Libraries for Multicores
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The NPB's Fortran codes were carefully ported to **C++** and are fully compliant to the **NPB3.4.1** version ([NPB official webpage](https://www.nas.nasa.gov/publications/npb.html)). Our paper under review for the TOPC journal contains abundant information on how the porting was conducted and discusses the outcome performance we obtained with **NPB-CPP** on different machines (Intel Xeon, AMD Epyc and IBM Power8) and compilers (GCC and ICC). Results showed that we achieved similar performance with **NPB-CPP** compared to the original **NPB**. **You can use our paper, along with the official reports, as a guide to access performance using the NPB suite**.
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The NPB's Fortran codes were carefully ported to **C++** and are fully compliant to the **NPB3.4.1** version ([NPB official webpage](https://www.nas.nasa.gov/publications/npb.html)). Our paper under review for a journal contains abundant information on how the porting was conducted and discusses the outcome performance we obtained with **NPB-CPP** on different machines (Intel Xeon, AMD Epyc and IBM Power8) and compilers (GCC and ICC). Results showed that we achieved similar performance with **NPB-CPP** compared to the original **NPB**. **You can use our paper, along with the official reports, as a guide to access performance using the NPB suite**. You can cite our [previous work](https://doi.org/10.1109/PDP2018.2018.00120) while our new paper is not published.
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*This is a repository aimed at providing parallel codes with different C++ parallel programming APIs for the NAS Parallel Benchmarks (NPB). You can also contribute with this project, writing issues and pull requests.*
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‎NPB-TBB/README.md‎

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# The NPB-CPP Benchmark Suite in C++
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# The NPB-CPP Benchmark Suite in C++ Parallel Programming Libraries for Multicores
22

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The NPB's Fortran codes were carefully ported to **C++** and are fully compliant to the **NPB3.4.1** version ([NPB official webpage](https://www.nas.nasa.gov/publications/npb.html)). Our paper under review for the TOPC journal contains abundant information on how the porting was conducted and discusses the outcome performance we obtained with **NPB-CPP** on different machines (Intel Xeon, AMD Epyc and IBM Power8) and compilers (GCC and ICC). Results showed that we achieved similar performance with **NPB-CPP** compared to the original **NPB**. **You can use our paper, along with the official reports, as a guide to access performance using the NPB suite**.
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The NPB's Fortran codes were carefully ported to **C++** and are fully compliant to the **NPB3.4.1** version ([NPB official webpage](https://www.nas.nasa.gov/publications/npb.html)). Our paper under review for a journal contains abundant information on how the porting was conducted and discusses the outcome performance we obtained with **NPB-CPP** on different machines (Intel Xeon, AMD Epyc and IBM Power8) and compilers (GCC and ICC). Results showed that we achieved similar performance with **NPB-CPP** compared to the original **NPB**. **You can use our paper, along with the official reports, as a guide to access performance using the NPB suite**. You can cite our [previous work](https://doi.org/10.1109/PDP2018.2018.00120) while our new paper is not published.
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*This is a repository aimed at providing parallel codes with different C++ parallel programming APIs for the NAS Parallel Benchmarks (NPB). You can also contribute with this project, writing issues and pull requests.*
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‎README.md‎

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# The NPB-CPP Benchmark Suite in C++
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# The NPB-CPP Benchmark Suite in C++ Parallel Programming Libraries for Multicores
22

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The NPB's Fortran codes were carefully ported to **C++** and are fully compliant to the **NPB3.4.1** version ([NPB official webpage](https://www.nas.nasa.gov/publications/npb.html)). Our paper under review for the TOPC journal contains abundant information on how the porting was conducted and discusses the outcome performance we obtained with **NPB-CPP** on different machines (Intel Xeon, AMD Epyc and IBM Power8) and compilers (GCC and ICC). Results showed that we achieved similar performance with **NPB-CPP** compared to the original **NPB**. **You can use our paper, along with the official reports, as a guide to access performance using the NPB suite**.
3+
The NPB's Fortran codes were carefully ported to **C++** and are fully compliant to the **NPB3.4.1** version ([NPB official webpage](https://www.nas.nasa.gov/publications/npb.html)). Our paper under review for a journal contains abundant information on how the porting was conducted and discusses the outcome performance we obtained with **NPB-CPP** on different machines (Intel Xeon, AMD Epyc and IBM Power8) and compilers (GCC and ICC). Results showed that we achieved similar performance with **NPB-CPP** compared to the original **NPB**. **You can use our paper, along with the official reports, as a guide to access performance using the NPB suite**. You can cite our [previous work](https://doi.org/10.1109/PDP2018.2018.00120) while our new paper is not published.
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55
*This is a repository aimed at providing parallel codes with different C++ parallel programming APIs for the NAS Parallel Benchmarks (NPB). You can also contribute with this project, writing issues and pull requests.*
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