Author | Technique Used | No of Benchmark Used | Benchmark Or Application Kernel | Energy Improvement | Performance Improvement | Platform for Parallel Implementation | ||
Core DVFS | ||||||||
Lee et al. [11] | DVFS | Not specified | Not specified | 65% | Not specified | Not specified | ||
Jiao et al. [8] | DVFS | 3 | Dense matrix multiplication Dense matrix transpose Fast Fourier transform | 4% | Not specified | NVidiaGTX-280 | ||
Lee et al. [12] | DVFS |
39
| GPGPU-Sim Rodinia ERCBench | Power constraint | 20% | GPGPU-Sim (Simulate Quadro FX 5800) | ||
Mei et al. [13] | DVFS | 37 | CUDA SDK 4.1 Rodinia | 19.28% | 4 | NVIDIA GeForce GTX 560 Ti | ||
Ge et al. [14] K20c | DVFS | 1 | Matrix multiplication Traveling salesman problem Finite state machine | Not specified | Not specified | NVIDIA Tesla K20c | ||
Hybrid DVFS | ||||||||
Liu et al. [19] | DVFS with Load Balancing | 4 | AMD OPENCL Sdk IBM | 20% | Performance constraint | AMD Radeon HD 5770 | ||
Ma et al. [20] | DVFS with Task Mapping | 9 | Rodinia | 21.04% | Marginal performance degradation | NVIDIA GeForce 8800 GTX GPU | ||
Komoda et al. [22] | DVFS with Task Mapping | 25 | Rodinia BLAS Library | Power constraint | 93% | NVIDIA Tesla K20c | ||
Sethia and Mahlke [17] | DVFS with Vary No of Thread | 27 | Rodinia Parboil | 15% (Energy efficiency mode) | 20% (Performance mode) | GPGPU-Sim (Simulate GTX480) | ||
Wang & Nagarajan [9] | DVFS with PID | 12 | CUDA Sdk | 23% | 4% | GPGPU-Sim (Simulate GTX480) | ||