X-Git-Url: https://bilbo.iut-bm.univ-fcomte.fr/and/gitweb/mpi-energy2.git/blobdiff_plain/b732f91fe80f2b282d3a69afdcc2d3e2e1a92f33..64ae1ea15de81e7d26e31750c558df497b58ab44:/my_reference.bib diff --git a/my_reference.bib b/my_reference.bib index a968a06..b2acf7a 100644 --- a/my_reference.bib +++ b/my_reference.bib @@ -648,7 +648,7 @@ ISSN={0278-0070} year = 2014, month = oct, doi = {10.1016/j.jpdc.2014.06.008}, - pdf = {http://hal.inria.fr/docs/01/05/75/41/PDF/simgrid3-journal.pdf}, + pdf = {http://hal.inria.fr/docs/01/05/75/41/PDF/simgrid3-journal.pdf} } @article{46, @@ -679,10 +679,137 @@ ISSN={0278-0070} @techreport{48, title = {Energy efficiency evaluation and benchmarking of {AFRL}'s Condor high performance computer}, - url = {http://oai.dtic.mil/oai/oai?verb=getRecord&metadataPrefix=html&identifier=ADA548738}, + urldate = {2014-10-16}, institution = {{DTIC} Document}, author = {Luley, Ryan and Usmail, Courtney and Barnell, Mark}, year = {2011}, file = {a548738.pdf:files/30/a548738.pdf:application/pdf} +} + +@INPROCEEDINGS{49, +author={Kai Ma and Xue Li and Wei Chen and Chi Zhang and Xiaorui Wang}, +booktitle={Parallel Processing (ICPP), 2012 41st International Conference on}, +title={GreenGPU: A Holistic Approach to Energy Efficiency in GPU-CPU Heterogeneous Architectures}, +year={2012}, +month={Sept}, +pages={48-57}, +keywords={energy consumption;graphics processing units;parallel architectures;AMD Phenom II CPU;CUDA framework;GPU-CPU heterogeneous architectures;GreenGPU;Nvidia GeForce GPU;energy consumption;energy efficiency;high performance computing;holistic approach;Algorithm design and analysis;Computer architecture;Frequency conversion;Graphics processing unit;Green products;Heuristic algorithms;Time frequency analysis;GPU;dynamic frequency scaling;energy efficiency;workload division}, +doi={10.1109/ICPP.2012.31}, +ISSN={0190-3918} +} + + + +@INPROCEEDINGS{50, +author={Rong Ge and Vogt, R. and Majumder, J. and Alam, A. and Burtscher, M. and Ziliang Zong}, +booktitle={Parallel Processing (ICPP), 2013 42nd International Conference on}, +title={Effects of Dynamic Voltage and Frequency Scaling on a K20 GPU}, +year={2013}, +month={Oct}, +pages={826-833}, +keywords={energy conservation;graphics processing units;parallel processing;power aware computing;power consumption;DVFS schedulers;GPU computing;K20 GPU;Nvidia K20c Kepler GPU;application performance;compute-bound high-performance workloads;dual Intel Sandy Bridge CPU;dynamic voltage and frequency scaling;energy efficiency;high-throughput workloads;power consumption;power-aware heterogeneous system;Benchmark testing;Computer architecture;Energy consumption;Graphics processing units;Market research;Measurement;Power demand;DVFS in GPU Computing;Dynamic Voltage and Frequency Scaling;Energy-Efficient Computing}, +doi={10.1109/ICPP.2013.98}, +ISSN={0190-3918} +} + + +@techreport{51, + title = {Energy efficiency evaluation and benchmarking of {AFRL}'s Condor high performance computer}, + + urldate = {2014-10-16}, + institution = {{DTIC} Document}, + author = {Luley, Ryan and Usmail, Courtney and Barnell, Mark}, + year = {2011}, + file = {a548738.pdf:files/30/a548738.pdf:application/pdf} +} + + + +@INPROCEEDINGS{52, +author = {Naveen Muralimanohar and Karthik Ramani and Rajeev Balasubramonian}, +title = {Power Efficient Resource Scaling in Partitioned Architectures through Dynamic Heterogeneity}, +booktitle = {In Proceedings of ISPASS}, +year = {2006} +} + +@article{53, +title = "Energy-aware parallel task scheduling in a cluster ", +journal = "Future Generation Computer Systems ", +volume = "29", +number = "7", +pages = "1661 - 1670", +year = "2013", +issn = "0167-739X", +doi = "http://dx.doi.org/10.1016/j.future.2013.02.010", +url = "http://www.sciencedirect.com/science/article/pii/S0167739X13000484", +author = {Lizhe Wang and Samee U. 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