ArticleIEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum : [proceedings]. IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum2016
Evaluation of Emerging Energy-Efficient Heterogeneous Computing Platforms for Biomolecular and Cellular Simulation Workloads.
Article in IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum : [proceedings]. IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
16 citing papers in PubMed.
- Application of Anomaly Detection to Identify Important Features of Protein Dynamics.ACS omega · 2025Article
- The Power of Molecular Dynamics Simulations and Their Applications to Discover Cysteine Protease Inhibitors.Mini reviews in medicinal chemistry · 2024Review
- VMD as a Platform for Interactive Small Molecule Preparation and Visualization in Quantum and Classical Simulations.Journal of chemical information and modeling · 2023Article
- Assessments of Variational Autoencoder in Protein Conformation Exploration.Journal of computational biophysics and chemistry · 2023Article
- Application Experiences on a GPU-Accelerated Arm-based HPC Testbed.The proceedings of International Conference on High Performance Computing in Asia-Pacific Region (HPC Asia 2023 Workshops) : 27 February to 2 March 2023, Singapore. International Conference/Exhibition on High-Performance Computing in th... · 2023Article
- Applications of Molecular Dynamics Simulation in Protein Study.Membranes · 2022Review
- Molecular Dynamic Simulations and Molecular Docking as a Potential Way for Designed New Inhibitor Drug without Resistance.Tanaffos · 2022Review
- Simulating Peptide Monolayer Formation: GnRH-I on Silica.International journal of molecular sciences · 2021Article
- Parallel implementation of L + S signal recovery in dynamic MRI.Magma (New York, N.Y.) · 2021Article
- Optimization of Molecular Dynamics Simulations of c-MYCLife (Basel, Switzerland) · 2020Article
- Recent Advances in Coarse-Grained Models for Biomolecules and Their Applications.International journal of molecular sciences · 2019Review
- Molecular Dynamics Simulation for All.Neuron · 2018Review
- Hybrid CME-ODE method for efficient simulation of the galactose switch in yeast.IET systems biology · 2018Article
- Article
- Early Experiences Porting the NAMD and VMD Molecular Simulation and Analysis Software to GPU-Accelerated OpenPOWER Platforms.High performance computing : 31st International Conference, ISC High Performance 2016, Frankfurt, Germany, June 19-23, 2016, Proceedings. ISC High Performance (Conference) (31st : 2016 : Frankfurt, Germany) · 2016Article
- Immersive Molecular Visualization with Omnidirectional Stereoscopic Ray Tracing and Remote Rendering.IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum : [proceedings]. IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Many of the continuing scientific advances achieved through computational biology are predicated on the availability of ongoing increases in computational power required for detailed simulation and analysis of cellular processes on biologically-relevant timescales. A critical challenge facing the development of future exascale supercomputer systems is the development of new computing hardware and associated scientific applications that dramatically improve upon the energy efficiency of existing solutions, while providing increased simulation, analysis, and visualization performance. Mobile computing platforms have recently become powerful enough to support interactive molecular visualization tasks that were previously only possible on laptops and workstations, creating future opportunities for their convenient use for meetings, remote collaboration, and as head mounted displays for immersive stereoscopic viewing. We describe early experiences adapting several biomolecular simulation and analysis applications for emerging heterogeneous computing platforms that combine power-efficient system-on-chip multi-core CPUs with high-performance massively parallel GPUs. We present low-cost power monitoring instrumentation that provides sufficient temporal resolution to evaluate the power consumption of individual CPU algorithms and GPU kernels. We compare the performance and energy efficiency of scientific applications running on emerging platforms with results obtained on traditional platforms, identify hardware and algorithmic performance bottlenecks that affect the usability of these platforms, and describe avenues for improving both the hardware and applications in pursuit of the needs of molecular modeling tasks on mobile devices and future exascale computers.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.