Title :
Thermal-aware scheduling for data parallel workloads on multi-core processors
Author :
Hengxing Tan ; Ranka, Sanjay
Author_Institution :
Dept. of Comput. & Inf. Sci. & Eng., Univ. of Florida, Gainesville, FL, USA
Abstract :
The main objective of this paper is develop techniques to maximize the throughput of all cores so that both power and temperature constraints met for a multicore processor. The key levers that we have used for this optimization are the clock frequency as well as throttling of cores. The latter shuts off cores during inactive periods. We propose multiple heuristics for maximizing the data parallel throughput on multi-core processors with different frequency scaling schemes.
Keywords :
multiprocessing systems; parallel processing; power aware computing; clock frequency; core throttling; data parallel workloads; frequency scaling schemes; multicore processors; power constraints; temperature constraints; thermal-aware scheduling; throughput maximization; Computational modeling; Equations; Load modeling; Mathematical model; Multicore processing; Steady-state; Throughput; Data Parallel; Dynamic Voltage and Frequency Scaling; Load Balancing; Multi-core Processors; Thermal Aware Computing; Workload Distribution;
Conference_Titel :
Computers and Communication (ISCC), 2014 IEEE Symposium on
Conference_Location :
Funchal
DOI :
10.1109/ISCC.2014.6912515
