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Published on: December 18, 2014
Early Experiences Porting the NAMD and VMD Molecular Simulation and Analysis Software to GPU-Accelerated OpenPOWER
John E Stone1, Antti-Pekka Hynninen2, James C Phillips1
1Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign.
Porting molecular dynamics software (NAMD, VMD) to GPU-accelerated OpenPOWER hardware enhances biomolecular simulations. Performance gains were observed using POWER8 features and GPU acceleration for complex modeling tasks.
Area of Science:
- Computational biology
- Biophysics
- High-performance computing
Background:
- All-atom molecular dynamics (MD) simulations are crucial for studying biomolecular structure and dynamics.
- These simulations require significant computational resources and pose challenges in preparation, execution, and analysis.
- Optimizing MD simulations on advanced hardware is essential for scientific discovery.
Purpose of the Study:
- To report early experiences porting NAMD and VMD to GPU-accelerated OpenPOWER platforms.
- To evaluate the performance of molecular modeling kernels on these new hardware architectures.
- To assess the benefits of specific POWER8 features for MD simulations.
Main Methods:
- Porting NAMD and VMD software to GPU-accelerated OpenPOWER hardware.
- Comparing compiler autovectorization with hand-coded vector intrinsics on POWER8 CPUs.
- Analyzing performance gains from POWER8's 8-way Simultaneous Multithreading (SMT).
- Evaluating GPU-accelerated molecular modeling kernels.
Main Results:
- Successful porting of NAMD and VMD to OpenPOWER platforms.
- Demonstrated performance benefits from POWER8 architectural features, including 8-way SMT.
- Comparison of autovectorization and hand-coded intrinsics for the POWER8 CPU.
- Performance evaluation of GPU-accelerated kernels on the new hardware.
Conclusions:
- GPU-accelerated OpenPOWER platforms offer a viable and performant environment for large-scale biomolecular simulations.
- Specific architectural features of POWER8 can be leveraged to enhance molecular modeling tasks.
- Further optimization and exploration of these platforms are warranted for advancing computational biophysics.
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