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Enabling Python to execute efficiently in heterogeneous distributed infrastructures with PyCOMPSs
Python has been adopted as programming language by a large number of scientific communities. Additionally to the easy programming interface, the large number of libraries and modules that have been made available by a large number of contributors, have ...
Efficient Pattern Matching in Python
Pattern matching is a powerful tool for symbolic computations. Applications include term rewriting systems, as well as the manipulation of symbolic expressions, abstract syntax trees, and XML and JSON data. It also allows for an intuitive description of ...
Real-Time Financial Risk Measurement of Dynamic Complex Portfolios with Python and PyOpenCL
Risk measures, such as value-at-risk and expected shortfall, are widely used to keep track of the risk at which a financial portfolio is exposed. This analysis is not only a key part of the daily operation of financial institutions worldwide, but it is ...
Python in the NERSC Exascale Science Applications Program for Data
- Zahra Ronaghi,
- Rollin Thomas,
- Jack Deslippe,
- Stephen Bailey,
- Doga Gursoy,
- Theodore Kisner,
- Reijo Keskitalo,
- Julian Borrill
We describe a new effort at the National Energy Research Scientific Computing Center (NERSC) in performance analysis and optimization of scientific Python applications targeting the Intel Xeon Phi (Knights Landing, KNL) manycore architecture. The Python-...
Real-time Thermal Medium-based Breathing Analysis with Python
Respiration monitoring is an important physiological measurement taken to determine the health of an individual. In clinical sleep studies, respiration activity is monitored to detect sleep disorders such as sleep apnea and respiratory conditions such ...
nbodykit: A Python Toolkit for Cosmology Simulations and Data Analysis on Parallel HPC Systems
We present nbodykit, an open source, massively parallel Python toolkit for cosmology simulations and data analysis developed for high performance computing machines. We discuss the challenges encountered while designing parallel and scalable software in ...
Python and HPC for High Energy Physics Data Analyses
High level abstractions in Python that can utilize computing hardware well seem to be an attractive option for writing data reduction and analysis tasks. In this paper, we explore the features available in Python which are useful and efficient for end ...
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Proceedings of the 7th Workshop on Python for High-Performance and Scientific Computing
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Acceptance Rates
Year | Submitted | Accepted | Rate |
---|---|---|---|
PyHPC '15 | 7 | 7 | 100% |
Overall | 7 | 7 | 100% |