Monthly Archives: February 2014

Mentored Project Ideas for GSoC 2014

Our organization Computational Science and Engineering at TU Wien was selected for the Google Summer of Code 2014. Within our organization, a couple of great open source software projects hosted at TU Wien are reaching out to students all over the world for work on free scientific software over the summer. Application deadline for students is on March 21, 2014. The funding provided by Google for the students is again highly appreciated 🙂

This year I'm again mentoring project ideas for ViennaCL, which I'll describe briefly in the following: Continue reading

PyViennaCL: GPU-accelerated Linear Algebra for Python

Toby St Clere Smithe, who I mentored during the Google Summer of Code 2013, released PyViennaCL 1.0.0 today. PyViennaCL provides the Python bindings for the ViennaCL linear algebra and numerical computation library for general purpose computations on massively parallel hardware such as graphics processing units (GPUs) and other heterogeneous systems. ViennaCL itself is a header-only C++ library, so these bindings make available to Python programmers ViennaCL’s fast OpenCL and CUDA algorithms, in a way that is idiomatic and compatible with the Python community’s most popular scientific packages, NumPy and SciPy. Continue reading

Open PhD position, Computational Microelectronics

I'm happy to announce the following position for a prospective PhD I'm looking forward to collaborating with:

The Institute for Microelectronics (TU Wien) is seeking a highly motivated PhD student to work on deterministic solution approaches for the Boltzmann Transport Equation for semiconductors. To strengthen free open source software in our field, the candidate is expected to contribute to our free open source simulator ViennaSHE and the underlying ecosystem of libraries such as ViennaCL or ViennaGrid. As one of the main application areas of ViennaSHE is the simulation of reliability issues in semiconductor devices, the candidate will also be involved in these activities, providing exposure to industrially relevant research.

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