Julian Oppermann

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—The Nymble compiler system accepts C code, annotated by the user with partitioning directives, and translates the indicated parts into hardware accelerators for execution on FPGA-based reconfigurable computers. The interface logic between the remaining software parts and the accelerators is automatically created, taking into account details such as cache(More)
We describe extending the hardware/software co-compiler Nymble to automatically generate multi-threaded (SIMT) hardware accelerators. In contrast to prior work that simply duplicated complete compute units for each thread, Nymble-MT reuses the actual computation elements, and adds just the required data storage and context switching logic. On the CHStone(More)
The simulation of biomedical models often requires the numerical integration of ordinary differential equation systems, a computationally intensive task that can be accelerated well by deeply-pipelined FPGA-based accelerators. Since the main design target is throughput, larger FPGA devices can easily be exploited by scaling-up the number of parallel(More)
We present SpExSim, a software tool for quickly surveying legacy code bases for kernels that could be accelerated by FPGA-based compute units. We specifically aim for low development effort by considering the use of C-based high-level hardware synthesis, instead of complex manual hardware designs. SpExSim not only exploits the spatially distributed model of(More)
In high-level synthesis, loop pipelining is a technique to improve the throughput and utilisation of hardware datapaths by starting new loop iterations after a fixed amount of time, called the initiation interval (II), allowing to overlap subsequent iterations. The problem is to find the smallest II and corresponding operation schedule that fulfils all data(More)
die Abhängigkeitsanalyse ist eine statische Vorhersage der Speicherzugrie. Für die Analyse aner Zugrie auf statische Arrays existieren praxistaugliche Verfahren. Dy-namische Datenstrukturen auf dem Heap, so wie sie objektorientierte Programme oft verwenden, sind problematisch für die Analyse und ein aktuelles Forschungsthema.
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