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首页> 外文会议>International Conference on Application-specific Systems, Architectures and Processors >Design and comparative evaluation of GPGPU- and FPGA-based MPSoC ECU architectures for secure, dependable, and real-time automotive CPS
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Design and comparative evaluation of GPGPU- and FPGA-based MPSoC ECU architectures for secure, dependable, and real-time automotive CPS

机译：基于GPGPU和FPGA的MPSoC ECU架构的设计和比较评估，可实现安全，可靠和实时的汽车CPS

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摘要

In this paper, we propose and implement two electronic control unit (ECU) architectures for real-time automotive cyber-physical systems that incorporate security and dependability primitives with low resources and energy overhead. These ECUs architectures follow the multiprocessor system-on-chip (MPSoC) design paradigm wherein the ECUs have multiple heterogeneous processing engines with specific functionalities. The first architecture, GED, leverages an ARM-based application processor and a GPGPU-based co-processor. The second architecture, RED, integrates an ARM based application processor with a FPGA-based co-processor. We quantify and compare temporal performance, energy, and error resilience of our proposed architectures for a steer-by-wire case study over CAN, CAN FD, and FlexRay in-vehicle networks. Hardware implementation results reveal that RED and GED can attain a speedup of 31.7× and 1.8×, respectively, while consuming 1.75× and 2× less energy, respectively, than contemporary ECU architectures.
机译：在本文中，我们为实时汽车网络物理系统提出并实现了两种电子控制单元（ECU）架构，这些架构结合了具有低资源和能源开销的安全性和可靠性原语。这些ECU架构遵循多处理器片上系统（MPSoC）设计范例，其中ECU具有多个具有特定功能的异构处理引擎。第一种架构GED利用了基于ARM的应用处理器和基于GPGPU的协处理器。第二种架构RED将基于ARM的应用处理器与基于FPGA的协处理器集成在一起。我们对拟议架构的时间性能，能量和错误恢复能力进行量化和比较，以进行基于CAN，CAN FD和FlexRay车载网络的线控转向案例研究。硬件实现结果表明，与现代ECU架构相比，RED和GED可以分别实现31.7倍和1.8倍的加速，同时分别消耗1.75倍和2倍的能量。

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