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Offloading Accelera...
Offloading Accelerator-intensive Workloads in CPU-GPU Heterogeneous Processors
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- Tsog, Nandinbaatar (författare)
- Mälardalens högskola,Inbyggda system
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- Mubeen, Saad (författare)
- Mälardalens högskola,Inbyggda system
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- Bruhn, Fredrik (författare)
- Mälardalens universitet, Inbyggda system,Unibap AB, Sweden
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- Behnam, Moris, 1973- (författare)
- Mälardalens högskola,Inbyggda system
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- Sjödin, Mikael, 1971- (författare)
- Mälardalens högskola,Inbyggda system
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(creator_code:org_t)
- 2021
- 2021
- Engelska.
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Ingår i: 26th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2021. - 9781728129891
- Relaterad länk:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- Autonomous vehicular systems require computer vision and intelligent on-board decision making functionalities that include a mix of sequential and parallel workloads. The execution times of the workloads and power consumption in these functionalities can be lowered by utilizing the accelerators (e.g., GPU) instead of running the workloads entirely on the host processing units (CPU). However, allocating all the parallelizable workload to accelerators can create a computation bottleneck in the accelerators that, in turn, can have an adverse effect on schedulability of the systems. This paper presents a novel framework that can allocate the accelerate-intensive workloads to the accelerators as well as to the non-accelerated host processing units. Within the context of this framework, the paper introduces five offloading techniques to mitigate the accelerator-intensive workloads by utilizing excess capacity of non-accelerated processing units under dynamic scheduling in CPU-GPU heterogeneous processors. The proposed techniques are evaluated using simulation experiments. The evaluation results indicate that one of the proposed techniques can achieve up to 16% improvement in schedulability of the task sets compared to the traditional non-offloading technique.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Datorsystem (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Computer Systems (hsv//eng)
Nyckelord
- Computer Science
- datavetenskap
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
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