Modern stream processing engines (SPEs) must handle massive real-time data streams under strict latency and throughput requirements. However, conventional SPEs are constrained by their software parallelization strategies (e.g., queue-based data re-partitioning, high synchronization overheads, etc.), which prevent efficient utilization of modern hardware capabilities, ultimately limiting performance scalability. In this paper, we present FlexStream, a novel SPE that leverages hardware offloading to redesign the parallelization strategies and overcome these limitations. By offloading data re-partitioning to hardware and integrating a coupled network-executor model, FlexStream maximizes resource utilization, achieving up to 95% network bandwidth saturation. To address the load imbalance challenges introduced by this design, we implement a lock-free state backend with efficient state migration mechanisms. Overall, FlexStream achieves throughput improvements of 1.95 × - 3.35 × compared to state-of-the-art SPEs (e.g., LightSaber) across six real-world streaming analytics applications. FlexStream cuts latency spikes by 71.9% and migration time by 66.8% during state migration, highlighting the benefits of hardware-software co-design in SPEs. Our work underscores the potential of hardware-software co-design in SPEs, offering a scalable, elastic solution for real-time analytics.

In the latest draft video compression standard, HEVC, a new 8-tap MC interpolation filter is adopted. For this component, we propose an efficient VLSI design which is composed of a reconfigurable filter, an optimized pipeline engine organization, and a filter reuse scheme. This results in 30% area saving from a non-optimized design. The proposed implementation supports a maximal throughput of QFHD@60fps. Our results also demonstrate the implementation cost of a well optimized HEVC interpolation component can be comparable to that of H.264, despite of the enhanced coding performance.

In view of the non-steady of temperature field in the large oil-immersed self-cooled three-phrase transformer, this paper constructs parameter identification model and make the numerical simulation. Due to the nonsmooth property of the temperature field of the transformer, the overlapping domain decomposition method is employed to make the coil under the cylindrical coordinate, and the core limb, the yoke and the oil out of the coil under the rectangular coordinate. The interface conditions among subdomains are given. Finally the optimal algorithm is proposed to solve the parameter identification problem and the corresponding software is made. The comparison of experimental data and numerical results shows the correctness and efficiency of our methods.