Author Archives: Karl Rupp

PhD Student Position in Scientific Computing on Many-Core Architectures

My colleague Josef Weinbub and I are looking for a motivated PhD student to join our efforts as a research assistant at the Institute for Microelectronics, TU Wien. If you

  • have recently completed or expect to soon complete your Master's degree in mathematics, computer science, or a related discipline
  • have previous exposure to OpenCL or CUDA
  • enjoy working on open source software

then apply via email to manuela.reinharter@tuwien.ac.at no later than Wednesday, November 9, 2016. Use the code "307.8.2" to reference this position.
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Sparse Matrix-Matrix Multiplication on Intel Xeon and Xeon Phi (KNC, KNL)

The latest incarnation of the Intel Xeon Phi product line, codename Knights Landing (KNL), is becoming more broadly available. As such, there is a lot of interest in how it performs, particularly when compared to other contenders in the high performance computing landscape. I have posted STREAM benchmark results for KNL earlier in my blog, which outlined the potential benefit of the high bandwidth memory (MCDRAM) of KNL. Let us have a look at a more complicated operation, which is neither limited by raw compute power nor by raw memory bandwidth: sparse matrix-matrix multiplication (aka. sparse matrix-matrix products). Continue reading →

Computational Science And Engineering Software Sustainability And Productivity (CSESSP) Challenges

Is writing code essential for your every-day work, be it research, development, or engineering? Did you have to take a coding shortcut here or there to get the task done? Do you think that your code would need a bit more polishing before handing it out to other people? If you answer all these questions with yes, you're not alone! Continue reading →

CfP: High Performance Computing Symposium 2017

Do you have new and exciting research results in the area of high performance computing? Then consider submitting your work to the 25th High Performance Computing Symposium (HPC 2017)! The optional abstract submissions are due on October 15, 2016. Full paper submissions (8 pages max.) are due on December 15, 2016. Continue reading →

Organizing a Conference: My Experiences from the PETSc User Meeting 2016

The PETSc User Meeting 2016 took place in Vienna, Austria, from June 28-30, 2016. Overall, the feedback received from the delegates was very positive; which I was glad to hear as main organizer of the event. In the following I want to share what I consider to be key factors for success and lessons learnt. Continue reading →

Knights Landing vs. Knights Corner, Haswell, Ivy Bridge, and Sandy Bridge: STREAM benchmark results

The Knights Landing (KNL) update of Intel's Xeon Phi product line is now available. For the applications I'm primarily interested in, namely the numerical solution of partial differential equation, the typical bottleneck is memory bandwidth. To assess memory bandwidth, the STREAM benchmark is the de-facto standard, so let us have a look at how KNL compares to the previous Xeon Phi generation (Knights Corner, KNC) as well as to the Xeon product line.
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