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How Does Parallelism Impact the Energy Efficiency and Performance of High-Performance Scientific Software? The Case of Haddock

https://doi.org/10.2139/ssrn.5137167
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Parallel Scientific Computing
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A survey on processing-in-memory techniques: Advances and challenges
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GROMACS: High performance molecular simulations through multi-level parallelism from laptops to supercomputers
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Understanding the impact of task granularity in the energy consumption of parallel programs
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Large-Scale Docking in the Cloud
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HADDOCK: A Protein−Protein Docking Approach Based on Biochemical or Biophysical Information
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Computational science: ...Error
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MassiveFold: unveiling AlphaFold’s hidden potential with optimized and parallelized massive sampling
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Memory-Aware Fair-Share Scheduling for Improved Performance Isolation in the Linux Kernel
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SweetspotVM: Oversubscribing CPU without Sacrificing VM Performance
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MRSch: Multi-Resource Scheduling for HPC
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Big data analysis using Apache Hadoop
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Using the focus group method in software engineering: obtaining practitioner and user experiences
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When Scientific Software Meets Software Engineering
inferredcites →https://doi.org/10.1109/ms.2011.1openalex-snapshot
A Refactoring Approach to Parallelism
inferredcites →https://doi.org/10.1109/saner53432.2022.00151openalex-snapshot
Towards using focus groups to identify software developer's interests regarding their development process
inferredcites →https://doi.org/10.1109/tpds.2021.3090334openalex-snapshot
Energy hardware and workload aware job scheduling towards interconnected HPC environments
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Green Architectural Tactics for the Cloud
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There’s plenty of room at the Top: What will drive computer performance after Moore’s law?
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Parallel Processing for Scientific Computing
inferredcites →https://doi.org/10.1140/epjc/s10052-015-3461-2openalex-snapshot
A multi-threaded version of MCFM
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Evolution of thread-level parallelism in desktop applications
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Evolution of thread-level parallelism in desktop applications
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Software thread integration for instruction-level parallelism
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Energy-Efficient Thread Assignment Optimization for Heterogeneous Multicore Systems
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An Empirical Study on Performance Bugs for Highly Configurable Software Systems
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Static and Dynamic Frequency Scaling on Multicore CPUs
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A Large-Scale Malleable Tsunami Simulation Realized on an Elastic MPI Infrastructure
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A comprehensive memory analysis of data intensive workloads on server class architecture
inferredcites →https://doi.org/10.1145/3307624.3307627openalex-snapshot
Real-time and energy efficiency in Linux
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Parallelism-centric what-if and differential analyses
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Towards Exploiting CPU Elasticity via Efficient Thread Oversubscription
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Multi-objectivizing software configuration tuning
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Performance Analysis of Work Stealing in Large-scale Multithreaded Computing
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Energy-Aware High-Performance Computing: Survey of State-of-the-Art Tools, Techniques, and Environments
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Survey of Methodologies, Approaches, and Challenges in Parallel Programming Using High-Performance Computing Systems
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Towards designing of a potential new HIV-1 protease inhibitor using QSAR study in combination with Molecular docking and Molecular dynamics simulations
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Energy-Aware Scheduling for High-Performance Computing Systems: A Survey
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Quasi-Experimentation
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Data Analysis Framework
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Evaluation of software impact designed for biomedical research: Are we measuring what's meaningful?
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Estimating the Energy Footprint of Software Systems: a Primer
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Shapiro–Wilk Test with Known Mean
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