Guido Juckeland

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The particle-in-cell (PIC) algorithm is one of the most widely used algorithms in computational plasma physics. With the advent of graphical processing units (GPUs), large-scale plasma simulations on inexpensive GPU clusters are in reach. We present an implementation of a fully relativistic plasma PIC algorithm for GPUs based on the NVIDIA CUDA library. It(More)
Figure 1: Components of the BenchITProject “Contrary to common belief, performance evaluation is an art.”[1] With an increasing variety of operation fields from office applications to data-massive, high-performance computing with very different user demands, the programmer’s know-how of program optimization, the choice of the compiler version, and the usage(More)
The power of GPUs is giving rise to heterogeneous parallel computing, with new demands on programming environments, runtime systems, and tools to deliver high-performing applications. This paper studies the problems associated with performance measurement of heterogeneous machines with GPUs. A heterogeneous computation model and alternative host-GPU(More)
We present a particle-in-cell simulation of the relativistic Kelvin-Helmholtz Instability (KHI) that for the first time delivers angularly resolved radiation spectra of the particle dynamics during the formation of the KHI. This enables studying the formation of the KHI with unprecedented spatial, angular and spectral resolution. Our results are of great(More)
New high performance computing (HPC) applications recently have to face scalability over an increasing number of nodes and the programming of special accelerator hardware. Hybrid composition of large computing systems leads to a new dimension in complexity of software development. This paper presents a novel approach to gain insight into accelerator(More)
Porting applications to new hardware or programming models is a tedious and error prone process. Every help that eases these burdens is saving developer time that can then be invested into the advancement of the application itself instead of preserving the status-quo on a new platform. The Alpaka library defines and implements an abstract hierarchical(More)
Hybrid nodes with hardware accelerators are becoming very common in systems today. Users often find it difficult to characterize and understand the performance advantage of such accelerators for their applications. The SPEC High Performance Group (HPG) has developed a set of performance metrics to evaluate the performance and power consumption of(More)