RAPTOR – A Scalable Platform for Rapid Prototyping and FPGA-based Cluster Computing

Porrmann M, Hagemeyer J, Pohl C, Romoth J, Strugholtz M (2010)
In: Parallel Computing: From Multicores and GPU's to Petascale, Advances in Parallel Computing. 19. IOS press: 592-599.

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Porrmann M, Hagemeyer J, Pohl C, Romoth J, Strugholtz M. RAPTOR – A Scalable Platform for Rapid Prototyping and FPGA-based Cluster Computing. In: Parallel Computing: From Multicores and GPU's to Petascale, Advances in Parallel Computing. Vol 19. IOS press; 2010: 592-599.
Porrmann, M., Hagemeyer, J., Pohl, C., Romoth, J., & Strugholtz, M. (2010). RAPTOR – A Scalable Platform for Rapid Prototyping and FPGA-based Cluster Computing. Parallel Computing: From Multicores and GPU's to Petascale, Advances in Parallel Computing, 19, 592-599.
Porrmann, M., Hagemeyer, J., Pohl, C., Romoth, J., and Strugholtz, M. (2010). “RAPTOR – A Scalable Platform for Rapid Prototyping and FPGA-based Cluster Computing” in Parallel Computing: From Multicores and GPU's to Petascale, Advances in Parallel Computing, vol. 19, (IOS press), 592-599.
Porrmann, M., et al., 2010. RAPTOR – A Scalable Platform for Rapid Prototyping and FPGA-based Cluster Computing. In Parallel Computing: From Multicores and GPU's to Petascale, Advances in Parallel Computing. no.19 IOS press, pp. 592-599.
M. Porrmann, et al., “RAPTOR – A Scalable Platform for Rapid Prototyping and FPGA-based Cluster Computing”, Parallel Computing: From Multicores and GPU's to Petascale, Advances in Parallel Computing, vol. 19, IOS press, 2010, pp.592-599.
Porrmann, M., Hagemeyer, J., Pohl, C., Romoth, J., Strugholtz, M.: RAPTOR – A Scalable Platform for Rapid Prototyping and FPGA-based Cluster Computing. Parallel Computing: From Multicores and GPU's to Petascale, Advances in Parallel Computing. 19, p. 592-599. IOS press (2010).
Porrmann, Mario, Hagemeyer, Jens, Pohl, Christopher, Romoth, Johannes, and Strugholtz, Manuel. “RAPTOR – A Scalable Platform for Rapid Prototyping and FPGA-based Cluster Computing”. Parallel Computing: From Multicores and GPU's to Petascale, Advances in Parallel Computing. IOS press, 2010.Vol. 19. 592-599.
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