Vacancy for a PhD in efficient deep learning

This position is funded by the new NWO-TTW program Efficient Deep Learning, which combines Dutch experts from the Machine Learning and the Computing communities.  The position is shared between the University of Amsterdam and the Vrije Universiteit Amsterdam.  Project The NWO-TTW program Efficient Deep Learning (EDL) combines Dutch experts from the Machine Learning and the Computing communities. The program starts mid 2018 and funds about 25 new research...
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[FILLED] Vacancy for a PhD in reliable exascale computing

The Netherlands eScience Center has a vacant PhD position on “reliable exascale computing”

The Netherlands eScience Center supports and reinforces multidisciplinary, data and computational intensive research through creative and innovative use of digital technologies in all its manifestations. We stimulate enhanced Science (eScience) by focusing on collaboration with universities, research institutions and industry. We aim to change scientific practice by making large...
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Master project: Auto-tuning for GPU pipelines and fused kernels

Achieving high performance on many-core accelerators is a complex task, even for experienced programmers. This task is made even more challenging by the fact that, to achieve high performance, code optimization is not enough, and auto-tuning is often necessary. The reason for this is that computational kernels running on many-core accelerators need ad-hoc configurations that are a function of kernel, input, and accelerator characteristics to achieve high performance. However, tuning kernels in i...
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Master project: Speeding up next generation sequencing of potatoes

Genotype and single nucleotide polymorphism calling (SNP) is a technique to find bases in next-generation sequencing data that differ from a reference genome. This technique is commonly used in (plant) genetic research. However, most algorithms focus on allowing calling in diploid heterozygous organisms (specifically human) only. Within the realm of plant breeding, many species are of polyploid nature (e.g. potato with 4 copies, wheat with 6 copies and strawberry with eight copies). For genotype...
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Master project: Topic Models of large document collections

Humanities researchers and literary scholars commonly struggle to make sense of, and extract information from patterns in large document collections. Computational techniques for finding similarities between documents in such collections continue to be developed and are invaluable in understanding these collections as single entities. Topic modelling is a text processing tool widely used to identify structure in document collections. It has been successfully used for a wide range of applicati...
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Master project: Auto-Tuning for power efficiency

Auto-tuning is a well-known optimization technique in computer science. It has been used to ease the manual optimization process that is traditionally performed by programmers, and to maximize the performance portability. Auto-tuning works by just executing the code that has to be tuned many times on a small problem set, with different tuning parameters. The best performing version is than subsequently used for the real problems. Tuning can be done with application-specific parameters (different...
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Master project: Fast data serialization and networking for Apache Spark

Apache Spark is a system for large-scale data processing used for Big Data applications business applications, but also in many scientific applications. Spark uses Java (or Scala) object serialization to transfer data over the network. Especially if data fits in memory, the performance of serialization is the most important bottleneck in Spark applications. Spark currently offers two mechanisms for serialization: Standard Java object serialization and Kryo serialization. In the Ibis project (...
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Master project: Applying and generalizing data locality abstractions for parallel programs

TIDA is a library for high-level programming of parallel applications, focusing on data locality. TIDA has been shown to work well for grid-based operations, like stencils and convolutions. These are in an important building block for many simulations in astrophysics, climate simulations and water management, for instance. The TIDA paper gives more details on the...
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First Light! … Again! Shiny new receivers for the Westerbork telescope.

Great news! The new and improved Westerbork telescope in the northeast of the Netherlands has seen first light! If you are into radio astronomy, or if you have visited the second world war nazi camp and monument at Westerbork, you may be familiar with this instrument, which was built in 1970. The telescope is situated right next to the former transit camp. During the Second World War, Romani and Dutch Jews were assembled there, for transport to other Nazi concentration camps. The famous Anne Fra...
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