This code recipe describes how to get, build, and use the GROMACS* code with support for the Intel® Xeon Phi™ coprocessor with Intel® Many-Integrated Core (MIC) architecture.
GROMACS is a versatile package to perform molecular dynamics, using Newtonian equations of motion, for systems with hundreds to millions of particles. GROMACS is primarily designed for biochemical molecules, like proteins, lipids and nucleic acids that have a multitude of complicated bonded interactions. But, since GROMACS is extremely fast at calculating the non-bonded interactions typically dominating simulations, many researchers use it for research on non-biological systems, such as polymers.
GROMACS supports all the usual algorithms expected from a modern molecular dynamics implementation.
The GROMACS code is maintained by developers around the world. The code is available under the GNU General Public License from www.gromacs.org.
Code Support for Intel® Xeon Phi™ coprocessor
GROMACS 5.0-RC1 has been released with Intel Xeon Phi coprocessor native/symmetric support. The code is currently available at http://www.gromacs.org/Downloads, or via ftp at ftp://ftp.gromacs.org/pub/gromacs/gromacs-5.0-rc1.tar.gz.
Only source code is available; configure and build it using the instructions provided below.
In GROMACS 5.0, the code was restructured with a platform-independent SIMD layer, which simplifies moving to a new instruction set architecture by redefining macros in localized header files. Version 5.0 with Intel Xeon Phi coprocessor support provides a 16-way neighbor list for enabling 512-bit vector registers (KNC/KNL), support of FMA (fused multiply-add) instructions and mask registers, and heavy optimizations for Intel Xeon Phi coprocessor native computations. These optimizations including the following:
- 16-wide SIMD non-bonded computations optimized with MIC-intrinsics
- 4-wide SIMD intrinsics in PME (Partical Mesh Ewald method)
- Improvements to force reduction over OpenMP* threads
- Resolved issues of Intel® Math Kernel Library enabling for FFT, BLAS, LAPACK
Version 5.0 code performance scales well on the host node's Intel® Xeon® processor. However, coprocessor native/symmetric support has known scaling challenges beyond two nodes, and Intel is diligently working to resolve them. Additionally, an offload version is in development, which will asynchronously move Particle-Particle computations to the Intel Xeon Phi coprocessor.
This version of GROMACS code supports both message passing and threading programming models of the Intel Xeon processor (referred to as 'host' in this document) with the Intel Xeon Phi coprocessor (referred to as 'coprocessor' in this document) in both a single node and a cluster environment.
To get access to the code and test workloads:
- Go to the downloads page: http://www.gromacs.org/Downloads
- Download the gromacs-5.0-rc1.tar.gz code.
Configure cmake by adding these essential parameters:
DGMX_FFT_LIBRARY=mkl #enable MKL for FFT
DGMX_MPI=ON #enable MPI
DGMX_OPENMP=ON #enable OpenMP
DCMAKE_EXE_LINKER_FLAGS="-L$ZLIB_DIR/lib64" #path to MIC zlib
DCMAKE_C_FLAGS="-O3 –mmic -I$ZLIB_DIR/include" #C-compiler flags should include –mmic ## and zlib include dir
DCMAKE_CXX_FLAGS="-O3 –mmic -I$ZLIB_DIR/include" #the same for C++ compiler
DGMX_SKIP_DEFAULT_CFLAGS=ON #omit default compiler flags
make -j 12
Full cmake configuration for Intel Xeon Phi coprocessor
cmake .. \
DGMX_MPI=ON -DGMX_OPENMP=ON \
DCMAKE_EXE_LINKER_FLAGS="-L$ZLIB_DIR/lib64 -mkl=sequential" \
DCMAKE_C_FLAGS="-std=gnu99 -O3 -mmic -vec-report1 -fno-alias -ip -funroll-all-loops -fimf-domain-exclusion=15 -g -DNDEBUG -I$ZLIB_DIR/include" \
DCMAKE_CXX_FLAGS="-std=c++0x -O3 -mmic -vec-report1 -fno-alias -ip -funroll-all-loops -fimf-domain-exclusion=15 -g -DNDEBUG -I$ZLIB_DIR/include"
Running Workloads on Intel Xeon Phi coprocessor Only
To run the workload on the Intel Xeon Phi coprocessor only, do the following:
- Source the Intel® compiler, so libraries can be found.
- Set up extra environment variables for run time.
- Create an appropriate machinefile list for MPI, such as:
nodename – name of host, check by `uname-n`
device_id – 0,1,etc, depending on MIC device used
MIC_PPN – number of MPI processes executed on MIC card
Running Workloads on the Host Processor and Coprocessor
To run workloads on both the host's Intel Xeon processor and the Intel Xeon Phi coprocessor, do the following:
- Source the Intel® compiler, so libraries can be found.
- Set up extra environment variables for run time.
export MIC_OMP_NUM_THREADS=$NTHREADS #num of OMP threads on MIC
export IVB_OMP_NUM_THREADS=1 #num of OMP threads on Host
export MIC_KMP_AFFINITY=verbose,compact,0 #KMP_AFFINITY for MIC threads
export IVB_KMP_AFFINITY=verbose,compact,1 #KMP_AFFINITY for Host threads
- Create the appropriate machinefile list for MPI, such as:
nodename = name of host, check by `uname-n`
HOST_PPN = number of MPI processes executed on HOST
device_id = 0, 1, etc. depending on MIC device used
MIC_PPN = number of MPI processes executed on the Intel Xeon Phi coprocessor
- Mpiexec executes the wrapper script mdrun.sh, which runs an Intel Xeon processor binary on the host and an MIC binary on the Intel Xeon Phi coprocessor:
if [[ `uname -n | grep "\-mic"` ]] ; then
Optimizing performance differs for each workload. The KMP_AFFINITY variable allows you to easily adjust affinity for MPI ranks and the number of threads per rank on the Intel Xeon Phi coprocessor. Experimenting with the values for KMP_AFFINITY allow you to get best performance for a given workload.
Performance Testing Results1,2
The following graph shows the results achieved from the GROMACS code using the hardware and software configurations shown below. Up to 1.8x performance speedup can be achieved on the RF workload with symmetric mode, using both processors and coprocessors together. To achieve these results, the engineers used these affinity settings:
- 2 CPU : 24 MPI x 1 OMP
- 2 CPU + 1 Coprocessor : 24 MPI x 1 OMP + 30 MPI x 8 OMP
- 2 CPU + 2 Coprocessor : 24 MPI x 1 OMP + 30 MPI x 8 OMP + 30 MPI x 8 OMP
Testing Platform Configurations
The following hardware was used for the above recipe and performance testing.3
- 2-socket/24 cores:
- Processor: Intel® Xeon® processor E5-2697 V2 @ 2.70GHz (12 cores) with Intel® Hyper-Threading Technology
- Operating System: Red Hat Enterprise Linux* 2.6.32-358.el6.x86_64 #1 SMP Tue Jan 29 11:47:41 EST 2013 x86_64 x86_64 x86_64 GNU/Linux
- Memory: 64GB
- Coprocessor: 2X Intel® Xeon® Phi™ Coprocessor (Board SKU "C0-7120P/7120X/7120"): 61 cores @ 1.238 GHz, 4-way Intel Hyper-Threading Technology4, Memory: 15872 MB
- Intel® Many-core Platform Software Stack Version 2.1.6720-21
- Intel® C++ Compiler Version 126.96.36.199
- FFT: Intel® Math Kernel Library
- Configuration parameters were modified to achieve optimal performance
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1. Software and workloads used in performance tests may have been optimized for performance only on Intel microprocessors. Performance tests, such as SYSmark and MobileMark, are measured using specific computer systems, components, software, operations and functions. Any change to any of those factors may cause the results to vary. You should consult other information and performance tests to assist you in fully evaluating your contemplated purchases, including the performance of that product when combined with other products.
2. Intel's compilers may or may not optimize to the same degree for non-Intel microprocessors for optimizations that are not unique to Intel microprocessors. These optimizations include SSE2, SSE3, and SSE3 instruction sets and other optimizations. Intel does not guarantee the availability, functionality, or effectiveness of any optimization on microprocessors not manufactured by Intel.
Microprocessor-dependent optimizations in this product are intended for use with Intel microprocessors. Certain optimizations not specific to Intel microarchitecture are reserved for Intel microprocessors. Please refer to the applicable product User and Reference Guides for more information regarding the specific instruction sets covered by this notice.
Notice revision #20110804
3. For more information go to http://www.intel.com/performance
4. Available on select Intel® processors. Requires an Intel® HT Technology-enabled system. Consult your PC manufacturer. Performance will vary depending on the specific hardware and software used. For more information including details on which processors support HT Technology, visit http://www.intel.com/info/hyperthreading.
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