An FPGA-based Integrated MapReduce Accelerator Platform

Author:

Kachris Christoforos,Diamantopoulos Dionysios,Sirakoulis Georgios Ch.,Soudris Dimitrios

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Modeling and Simulation,Information Systems,Signal Processing,Theoretical Computer Science,Control and Systems Engineering

Reference18 articles.

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2. Where does power go? (2008). GreenDataProject, available online at: http://www.greendataproject.org .

3. Make IT Green (2010). Cloud computing and its contribution to climate change. Greenpeace.

4. Blott, M., Karras, K., Liu, L., Vissers, K., Bär, J., & István, Z. (2013). Achieving 10gbps line-rate key-value stores with fpgas. In Presented as part of the 5th USENIX workshop on hot topics in cloud computing.

5. Chen, L., Huo, X., & Agrawal, G. (2012). Accelerating mapreduce on a coupled cpu-gpu architecture. In Proceedings of the international conference on high performance computing, networking, storage and analysis, SC ’12 (pp. 25:1–25:11).

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2. A Survey: FPGA‐Based Dynamic Scheduling of Hardware Tasks;Chinese Journal of Electronics;2021-11

3. Field Programmable Gate Array Applications—A Scientometric Review;Computation;2019-11-11

4. Heterogeneous Architectures for Big Data Batch Processing in MapReduce Paradigm;IEEE Transactions on Big Data;2019-03-01

5. A Study of Reconfigurable Accelerators for Cloud Computing;Proceedings of the 2nd International Symposium on Computer Science and Intelligent Control;2018-09-21

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