Uploaded April 2016 | Updated September 2026, 4 hours ago
This talk was given by undergraduate Vance Miller during the 10th Annual Computer Science Undergraduate Research Symposium in 2016. Vance‘s research was supervised by Dr. F. Don Smith.
“Need for Speed (GPUs in Real Time Systems)”
In recent years, advances in computing power have reached the automotive industry in the form of advanced driver assistance systems (ADAS). ADAS takes the form of adaptive cruise control, automatic brakes, lane departure warning, collision avoidance, and even driver drowsiness detection. Cars that support these features have a variety of sensors, including cameras, that gather data from their surroundings. This data must be processed and the results acted upon in real time to prevent catastrophic failure and loss of life. GPUs offer a large speedup for image processing but their runtime performance can be unpredictable in some cases. In my research, I examine the characteristics of GPUs that make them (un)suitable for real time tasks and explore mechanisms for making them more predictable.
Vance Miller is a senior computer science major from Ocean, NC. He has spent the past year working in the Real-Time Systems group on “the car project” with Drs. Don Smith and Jim Anderson but also enjoys breaking into servers and safes with Dr. Fabian Monrose between classwork. After graduating, he plans to visit his 22-pound cat and then attend to pursue a doctorate in computer science.
cs.unc.edu/academics/undergraduate/symposium/symposium-2016/
This talk was given by undergraduate Vance Miller during the 10th Annual Computer Science Undergraduate Research Symposium in 2016. Vance‘s research was supervised by Dr. F. Don Smith.
“Need for Speed (GPUs in Real Time Systems)”
In recent years, advances in computing power have reached the automotive industry in the form of advanced driver assistance systems (ADAS). ADAS takes the form of adaptive cruise control, automatic brakes, lane departure warning, collision avoidance, and even driver drowsiness detection. Cars that support these features have a variety of sensors, including cameras, that gather data from their surroundings. This data must be processed and the results acted upon in real time to prevent catastrophic failure and loss of life. GPUs offer a large speedup for image processing but their runtime performance can be unpredictable in some cases. In my research, I examine the characteristics of GPUs that make them (un)suitable for real time tasks and explore mechanisms for making them more predictable.
Vance Miller is a senior computer science major from Ocean, NC. He has spent the past year working in the Real-Time Systems group on “the car project” with Drs. Don Smith and Jim Anderson but also enjoys breaking into servers and safes with Dr. Fabian Monrose between classwork. After graduating, he plans to visit his 22-pound cat and then attend to pursue a doctorate in computer science.
cs.unc.edu/academics/undergraduate/symposium/symposium-2016/
