Inline and in transit visualization are popular in situ visualization models for high
performance computing (HPC) applications. Inline visualization is invoked through a library …

One of the core issues across computer and computational science today is adapting to,
managing, and learning from the influx of" Big Data". In the commercial space, this problem …

With the rise of exascale systems and large, data‐centric workflows, the need to observe
and analyze high performance computing (HPC) applications during their execution is …

The visualization of results while the simulation is running is increasingly common in
extreme scale computing environments. We present a novel approach for in situ generation …

With the rise of exascale systems and large, datacentric workflows, the need to observe and
analyze high performance computing (HPC) applications during their execution is becoming …

HPC workloads and their Increasing data processing demands have led to using in situ
execution, which couples simulation and analytics to reduce cross node memory accesses …

Despite the popularity of in-situ analytics in scientific computing, there is only limited work to
date on in-situ analytics for simulations running on GPUs. Notably, two unaddressed …

Part of the promise of exascale computing and the next generation of scientific simulation
codes is the ability to bring together time and spatial scales that have traditionally been …

Heterogeneous computing is becoming common in the HPC world. The fast-changing
hardware landscape is pushing programmers and developers to rely on performance …

Modern scientific workflows are increasing in complexity with growth in computation power,
incorporation of non-traditional computation methods, and advances in technologies …