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Auflistung nach Autor:in "Schulz, Martin"

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  • Zeitschriftenartikel
    Enabling Malleability for Livermore Unstructured Lagrangian Explicit Shock Hydrodynamics using LAIK
    (PARS-Mitteilungen: Vol. 35, Nr. 1, 2020) Raoofy, Amir; Yang, Dai; Weidendorfer, Josef; Trinitis, Carsten; Schulz, Martin
    Malleability, i.e., the ability for an application to release or acquire resources at runtime, has many benefits for current and future HPC systems. Implementing such functionality, however, is already difficult in newly written code and an even more daunting challenge when considering a dynamic and flexible parallel programming model that separates data and execution into twoorthogonal concerns. These properties promise easier malleability as the runtime can partition resources dynamically as needed, as well as easier incremental porting of existing MPI code. In this paper, we explore the malleability of LAIK with the help of laik-lulesh, a LAIK-based port of LULESH, a proxy application from the CORAL benchmark suite. We show the steps required for porting the application to LAIK, and we present detailed scaling experiments that show promising results.
  • Textdokument
    Toward Dynamic Orchestration of Data/Power/Process Management for Hybrid Memory Based Systems
    (Tagungsband des FG-BS Herbsttreffens 2021, 2021) Arima, Eishi; Trinitis, Carsten; Schulz, Martin
    The exponential growth of the transistor count on VLSI circuits, known as Moore’s law, is slowing down, and the end of the technology scaling is predicted to be inevitable. As a consequence, computing system architectures are gradually shifting toward extremely heterogeneous designs consisting of multiple different hardware devices or accelerators in each component. As one example, over the past few years the industry has begun to support hybrid memory systems in their products based on emerging memory device technologies, most prominently HBM (High-Bandwidth Memory) and NVRAM (Non-Volatile RAM). This hardware trend has opened up new research opportunities in the system software and operating system area. In this position paper, we focus on data, power and process management in hybrid memory based systems, with a particular focus on a coordinated and dynamic approach. This is based on our key insight, which is brought by our prior studies, that the on such systems memory access/utilization behavior as well as the memory management policy plays an important role for various optimizations, including power management and process (or job) scheduling. In this position paper, we clarify the problem, provide a high-level software architecture, and finally discuss the major challenges to realize it.