Helios: heterogeneous multiprocessing with satellite kernels
Proceedings of the ACM SIGOPS 22nd symposium on Operating systems principles
TimeGraph: GPU scheduling for real-time multi-tasking environments
USENIXATC'11 Proceedings of the 2011 USENIX conference on USENIX annual technical conference
Gdev: first-class GPU resource management in the operating system
USENIX ATC'12 Proceedings of the 2012 USENIX conference on Annual Technical Conference
Zero-copy I/O processing for low-latency GPU computing
Proceedings of the ACM/IEEE 4th International Conference on Cyber-Physical Systems
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Recent graphics processing units (GPUs) integrate wimpy microcontrollers on a chip. They are often used to execute firmware code configuring the functional units of GPUs. This paper opens up the programming of these microcontrollers and explores how to utilize them for GPU resource management. Our prototype system provides a compiler suite for NVIDIA's GPU microcontrollers with its basis on the Low Level Virtual Machine (LLVM) infrastructure. As a proof of concept, we develop fully-functional firmware using our compiler and provide a basic performance evaluation. The experimental results demonstrate that the overhead of introducing our firmware is suppressed to within 2.3%, as compared to the native proprietary firmware, while the impact of overhead is no greater than 0.01% of the total execution time according to microbenchmarks. We also show that a complementary use of microcontrollers can reduce the latency of data transfers with concurrent multiple data streams.