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Accelerator-based platforms are heterogeneous in nature, yet most applications avoid heterogeneity, and focus on acceleration alone. Platform-level heterogeneity can bring significant performance improvement, as it essentially means using additional resources for the same computation. But is the performance gained using these additional resources worth the effort to program and deploy heterogeneous...
Heterogeneous platforms are mixes of different processing units. The key factor to their efficient usage is workload partitioning. Both static and dynamic partitioning strategies have been defined in previous work, but their applicability and performance differ significantly depending on the application to execute. In this paper, we propose an application-driven method to select the best partitioning...
Heterogeneous platforms integrating different types of processing units (such as multi-core CPUs and GPUs) are in high demand in high performance computing. Existing studies have shown that using heterogeneous platforms can improve application performance and hardware utilization. However, systematic methods to design, implement, and map applications to efficiently use heterogeneous computing resources...
For high power converter designs, a performance screening with hundreds or thousands of configuration combinations and operation points is typically required. Standard time-domain based circuit simulators are not efficient for such screening works because of the long computation time. In this paper, a modeling and simulation methodology is presented, which is ultra-fast compared to time-domain based...
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