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HRM: merging hardware event monitors for improved timing analysis of complex MPSoCs
(2020-11)
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The Performance Monitoring Unit (PMU) in MPSoCs is at the heart of the latest measurement-based timing analysis techniques in Critical Embedded Systems. In particular, hardware event monitors (HEMs) in the PMU are used as ...
GMAI: Understanding and exploiting the internals of GPU resource allocation in critical systems
(2020-09)
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Critical real-time systems require strict resource provisioning in terms of memory and timing. The constant need for higher performance in these systems has led industry to recently include GPUs. However, GPU software ...
Performance analysis and optimization opportunities for NVIDIA automotive GPUs
(Elsevier, 2021-06)
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Advanced Driver Assistance Systems (ADAS) and Autonomous Driving (AD) bring unprecedented performance requirements for automotive systems. Graphic Processing Unit (GPU) based platforms have been deployed with the aim of ...
ADBench: benchmarking autonomous driving systems
(2022)
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Driven by the improvements in a variety of domains, autonomous driving is becoming a reality and today, industry aims at moving toward fully autonomous vehicles. High-tech chip manufacturers are designing high-performance ...
Locality-aware cache random replacement policies
(2019-02-01)
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Measurement-Based Probabilistic Timing Analysis (MBPTA) facilitates the analysis of complex software running on hardware comprising high-performance features. MBPTA also aims at preventing additional analysis costs for ...
Towards functional safety compliance of matrix–matrix multiplication for machine learning-based autonomous systems
(2021-12)
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Autonomous systems execute complex tasks to perceive the environment and take self-aware decisions with limited human interaction. This autonomy is commonly achieved with the support of machine learning algorithms. The ...
Randomization for safer, more reliable and secure, high-performance automotive processors
(Institute of Electrical and Electronics Engineers (IEEE), 2019-12)
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The automotive domain is witnessing a relentless transition to autonomous cars demanding high-performance processors to timely execute complex, critical, decision-making software. The other side of the coin is that ...
Vector extensions in COTS processors to increase guaranteed performance in real-time systems
(2023-03)
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The need for increased application performance in high-integrity systems like those in avionics is on the rise as software continues to implement more complex functionalities. The prevalent computing solution for future ...
On the safe deployment of matrix multiplication in massively parallel safety-related systems
(2022-04-08)
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Deep learning technology has enabled the development of increasingly complex safety-related autonomous systems using high-performance computers, such as graphics processing units (GPUs), which provide the required high ...
Worst-case energy consumption: A new challenge for battery-powered critical devices
(Institute of Electrical and Electronics Engineers (IEEE), 2021-07-01)
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The number of devices connected to the IoT is on the rise, reaching hundreds of billions in the next years. Many devices will implement some type of critical functionality, for instance in the medical market. Energy awareness ...