BEGIN:VCALENDAR VERSION:2.0 PRODID:Linklings LLC BEGIN:VTIMEZONE TZID:America/New_York X-LIC-LOCATION:America/New_York BEGIN:DAYLIGHT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:EDT DTSTART:19700308T020000 RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0400 TZOFFSETTO:-0500 TZNAME:EST DTSTART:19701101T020000 RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20210402T160559Z LOCATION:Track 8 DTSTART;TZID=America/New_York:20201113T100000 DTEND;TZID=America/New_York:20201113T173500 UID:submissions.supercomputing.org_SC20_sess227@linklings.com SUMMARY:PyHPC 2020: 9th Workshop on Python for High-Performance and Scient ific Computing DESCRIPTION:Workshop\n\nPyHPC – Break\n\n\n\n---------------------\nPyHPC – Break\n\n\n\n---------------------\nPyHPC – Invited Keynote: MPI for Pyt hon\n\nDalcin\n\n---------------------\nDaCe Python Frontend\n\nZiogas\n\n Several frameworks for developing HPC applications have identified the hig h cost of data movement as the primary performance bottleneck in modern co mputing architectures. The Data-Centric (DaCe) Parallel Programming framew ork uses the Stateful DataFlow multiGraph (SDFG) intermediate representati on, ...\n\n---------------------\nAccelerating Microstructural Analytics w ith Dask for Volumetric X-Ray Imaging\n\nUshizima\n\nWhile X-ray microtomo graphy has become indispensable in 3D inspections of materials, efficient processing of such volumetric datasets continues to be a challenge. This p aper describes a computational environment for HPC to facilitate paralleli zation of algorithms in computer vision and machine learn...\n\n---------- -----------\nData Engineering for HPC with Python\n\nAbeykoon, Perera, Wid anage, Kamburugamuve, Kanewala...\n\nData engineering is becoming an incre asingly important part of scientific discoveries with the adoption of deep learning and machine learning. Data engineering deals with a variety of d ata formats, storage, data extraction, transformation and data movements. One goal of data engineering is to transf...\n\n---------------------\nDis tributed Asynchronous Array Computing with the JetLag Environment\n\nBrand t, Hasheminezhad, Wu, Sakin, Bigelow...\n\nWe describe JetLag, a Python-ba sed environment that provides access to a distributed, interactive, asynch ronous many-task (AMT) computing framework called Phylanx. This environmen t encompasses the entire computing process, from a Jupyter front-end for m anaging code and results to the collection and ...\n\n-------------------- -\nExperiences in Developing a Distributed Agent-Based Modeling Toolkit wi th Python\n\nCollier, Ozik, Tatara\n\nDistributed agent-based modeling (AB M) on high-performance computing resources provides the promise of capturi ng unprecedented details of large-scale complex systems. The specialized k nowledge required for developing such ABMs, however, creates barriers to w ider adoption and utilization. Here we pre...\n\n---------------------\nPy thon Workflows on HPC Systems\n\nStrassel, Reusch, Keuper\n\nThe recent su ccesses and wide spread application of compute-intensive machine learning and data analytics methods have been boosting the usage of the Python prog ramming language on HPC systems. While Python provides many advantages for the users, it was not designed with a focus on multi-user enviro...\n\n-- -------------------\nEnabling System Wide Shared Memory for Performance Im provement in PyCOMPSs Applications\n\nFoyer, Conejero, Ejarque, Badia, Tat e...\n\nPython has been gaining some traction for years in the world of sc ientific applications. The high-level abstraction it provides, however, ma y not allow the developer to use the machines to their peak performance. T o address this, multiple strategies, sometimes complementary, have been de veloped to e...\n\n---------------------\nValidating Oil Spill Dispersion Models Against Real-World Observations Using the GeoPandas Library\n\nDear den\n\nThis talk presents the results of a collaboration between the STFC Hartree Centre and Riskaware Ltd, the aim of which was to create a softwar e validation suite to quantify the accuracy of oil spill model predictions against real-world observations of actual oil spills. The validation meth odology is ...\n\n---------------------\nFil: A Python Memory Profiler for Scientific Computing\n\nTurner-Trauring\n\nFil is a new, open source memo ry profiler for Python aimed specifically at the needs of scientific compu ting and other batch data processing applications. It finds the peak memor y usage, and the location in your Python code from which the relevant allo cations came, which is exactly what you need to ...\n\n------------------- --\nLinear Algebraic Graphs Algorithms in Python\n\nKazmi\n\nGraph algorit hms are a central part of many applications, and their speed is critical i n real world use. Linear Algebraic formulations have been shown to provide speedups, and the GraphBLAS standard provides their building blocks.\n\nG raphBLAS does not cover everything, though, and it can be difficult...\n\n ---------------------\nPyHPC – Break\n\n\n\n---------------------\nPyHPC – Keynote: Reprising the Zen of Python for HPC\n\nBauer\n\n---------------- -----\nPyHPC – Break\n\n\n\n---------------------\nPyHPC – Break\n\n\n\n-- -------------------\nPyHPC – Session 3: Introduction\n\n\n\n-------------- -------\nPyHPC – Session 1: Introduction\n\n\n\n---------------------\nPyH PC – Lightning Talks: Introduction\n\n\n\n---------------------\nPyHPC – S ession 2: Introduction\n\n\n\n---------------------\nPyHPC – Introduction: 9th Workshop on Python for High-Performance and Scientific Computing\n\nS cullin, Banglawala, Badia, Clark\n\nPython remains one of the fastest-grow ing programming languages with large communities of users in academia and industry. Its high-level syntax lowers the barrier to entry and improves p roductivity, making it the go-to language for data science and machine lea rning, whilst also remaining increasingl...\n\n\nRegistration Category: Wo rkshop Reg Pass END:VEVENT END:VCALENDAR