A5055901141- Distributed and Parallel Computing Systems
- Advanced Data Storage Technologies
- Scientific Computing and Data Management
- Parallel Computing and Optimization Techniques
- Cloud Computing and Resource Management
- DNA and Nucleic Acid Chemistry
- Synthesis and biological activity
- PI3K/AKT/mTOR signaling in cancer
- Analytical Chemistry and Chromatography
- Software System Performance and Reliability
- Solar-Powered Water Purification Methods
- PARP inhibition in cancer therapy
- Molecular spectroscopy and chirality
- Inorganic and Organometallic Chemistry
- Computational Drug Discovery Methods
Georgia Institute of Technology
2023-2024
National Renewable Energy Laboratory
2022-2024
At the core of predictive analytics applied to High Performance Computing (HPC), most prominent tasks are prediction job runtimes and queue times, both which have potential for informing HPC users during their every-day decision making. Accurate runtime predictions can help better choose so-called wallclock times at submission, decreasing odds jobs waiting in queues longer than necessary. The accurate timely time offered available partitions inform favorable selection running jobs. This is...
High-performance computing systems rely upon scheduling algorithms to achieve high utilization. These schedulers user estimates of job resource requirements, such as runtime, determine optimal incoming jobs. estimates, however, are prone error. To mitigate this error, significant research has been directed at providing better usually employing machine learning techniques. techniques dependent the input features selected. Among possible is primary application used by job. In a survey more...
Abstract Auf dem im Formelschema beschriebenen Weg werden die Lactone (XI) dargestellt, gleiche Stereochemie an C‐l und C‐l0 besitzen wie Forskolin (I).