In particular, we focus on dynamic memory management to automatically fit at runtime the underlying computing in- frastructure to the application, thus adapting the memory size of the VM to the memory consumption pattern of the application.
In this study, we will focus only on power management at tile level because voltage/frequency for mesh and memory controller cannot be adjusted at runtime.
We have developed a tool dubbed, the Layout Expert which is able to calculate memory layout of critical kernel structures at runtime on the target system without requiring extra tools, such as the compiler tool-chain to be pre-installed.
At runtime, the maximum extra time, CPU, memory, and power consumption overhead incurred by Sensor Guardian are 0.16 μs, 0.17%, 0.1 MB, and 2.6%, respectively.
However, these adaptive computations consume resources such as CPU and memory, and can interfere with the normal business processing of applications at runtime due to resource competition, especially when the whole system is under heavy load.
The memory required by the introspection process is provided by a secure VM at runtime.
Some of the property values can be modified at runtime while others, once accessed by the objects that rely upon them, are duplicated in memory and cannot be further changed.
The ABySS software was chosen due to memory use and time limits for users in 'Picasso' at that moment, since ABySS had previously shown a good balance between memory use, runtime, and integrity of assembled genes.
