Abstract
Modern Graphics Processing Units (GPUs) are now considered accelerators for general purpose computation. A tight interaction between the GPU and the interconnection network is the strategy to express the full potential on capability computing of a multi-GPU system on large HPC clusters; that is the reason why an efficient and scalable interconnect is a key technology to finally deliver GPUs for scientific HPC. In this paper we show the latest architectural and performance improvement of the APEnet+ network fabric, a FPGA-based PCIe board with 6 fully bidirectional off-board links with 34 Gbps of raw bandwidth per direction, and X8 Gen2 bandwidth towards the host PC. The board implements a Remote Direct Memory Access (RDMA) protocol that leverages upon peer-to-peer (P2P) capabilities of Fermi- and Kepler-class NVIDIA GPUs to obtain real zero-copy, low-latency GPU-to-GPU transfers. Finally, we report on the development activities for 2013 focusing on the adoption of the latest generation 28 nm FPGAs and the preliminary tests performed on this new platform.
Ammendola, Roberto;
[1]
Biagioni, Andrea;
Frezza, Ottorino;
Cicero, Francesca Lo;
Paolucci, Pier Stanislao;
Lonardo, Alessandro;
Rossetti, Davide;
Simula, Francesco;
Tosoratto, Laura;
Vicini, Piero
[2]
- INFN Sezione Roma Tor Vergata (Italy)
- INFN Sezione Roma (Italy)
Citation Formats
Ammendola, Roberto, Biagioni, Andrea, Frezza, Ottorino, Cicero, Francesca Lo, Paolucci, Pier Stanislao, Lonardo, Alessandro, Rossetti, Davide, Simula, Francesco, Tosoratto, Laura, and Vicini, Piero.
Architectural improvements and 28 nm FPGA implementation of the APEnet+ 3D Torus network for hybrid HPC systems.
United Kingdom: N. p.,
2014.
Web.
doi:10.1088/1742-6596/513/5/052002.
Ammendola, Roberto, Biagioni, Andrea, Frezza, Ottorino, Cicero, Francesca Lo, Paolucci, Pier Stanislao, Lonardo, Alessandro, Rossetti, Davide, Simula, Francesco, Tosoratto, Laura, & Vicini, Piero.
Architectural improvements and 28 nm FPGA implementation of the APEnet+ 3D Torus network for hybrid HPC systems.
United Kingdom.
https://doi.org/10.1088/1742-6596/513/5/052002
Ammendola, Roberto, Biagioni, Andrea, Frezza, Ottorino, Cicero, Francesca Lo, Paolucci, Pier Stanislao, Lonardo, Alessandro, Rossetti, Davide, Simula, Francesco, Tosoratto, Laura, and Vicini, Piero.
2014.
"Architectural improvements and 28 nm FPGA implementation of the APEnet+ 3D Torus network for hybrid HPC systems."
United Kingdom.
https://doi.org/10.1088/1742-6596/513/5/052002.
@misc{etde_22381205,
title = {Architectural improvements and 28 nm FPGA implementation of the APEnet+ 3D Torus network for hybrid HPC systems}
author = {Ammendola, Roberto, Biagioni, Andrea, Frezza, Ottorino, Cicero, Francesca Lo, Paolucci, Pier Stanislao, Lonardo, Alessandro, Rossetti, Davide, Simula, Francesco, Tosoratto, Laura, and Vicini, Piero}
abstractNote = {Modern Graphics Processing Units (GPUs) are now considered accelerators for general purpose computation. A tight interaction between the GPU and the interconnection network is the strategy to express the full potential on capability computing of a multi-GPU system on large HPC clusters; that is the reason why an efficient and scalable interconnect is a key technology to finally deliver GPUs for scientific HPC. In this paper we show the latest architectural and performance improvement of the APEnet+ network fabric, a FPGA-based PCIe board with 6 fully bidirectional off-board links with 34 Gbps of raw bandwidth per direction, and X8 Gen2 bandwidth towards the host PC. The board implements a Remote Direct Memory Access (RDMA) protocol that leverages upon peer-to-peer (P2P) capabilities of Fermi- and Kepler-class NVIDIA GPUs to obtain real zero-copy, low-latency GPU-to-GPU transfers. Finally, we report on the development activities for 2013 focusing on the adoption of the latest generation 28 nm FPGAs and the preliminary tests performed on this new platform.}
doi = {10.1088/1742-6596/513/5/052002}
journal = []
issue = {5}
volume = {513}
journal type = {AC}
place = {United Kingdom}
year = {2014}
month = {Jun}
}
title = {Architectural improvements and 28 nm FPGA implementation of the APEnet+ 3D Torus network for hybrid HPC systems}
author = {Ammendola, Roberto, Biagioni, Andrea, Frezza, Ottorino, Cicero, Francesca Lo, Paolucci, Pier Stanislao, Lonardo, Alessandro, Rossetti, Davide, Simula, Francesco, Tosoratto, Laura, and Vicini, Piero}
abstractNote = {Modern Graphics Processing Units (GPUs) are now considered accelerators for general purpose computation. A tight interaction between the GPU and the interconnection network is the strategy to express the full potential on capability computing of a multi-GPU system on large HPC clusters; that is the reason why an efficient and scalable interconnect is a key technology to finally deliver GPUs for scientific HPC. In this paper we show the latest architectural and performance improvement of the APEnet+ network fabric, a FPGA-based PCIe board with 6 fully bidirectional off-board links with 34 Gbps of raw bandwidth per direction, and X8 Gen2 bandwidth towards the host PC. The board implements a Remote Direct Memory Access (RDMA) protocol that leverages upon peer-to-peer (P2P) capabilities of Fermi- and Kepler-class NVIDIA GPUs to obtain real zero-copy, low-latency GPU-to-GPU transfers. Finally, we report on the development activities for 2013 focusing on the adoption of the latest generation 28 nm FPGAs and the preliminary tests performed on this new platform.}
doi = {10.1088/1742-6596/513/5/052002}
journal = []
issue = {5}
volume = {513}
journal type = {AC}
place = {United Kingdom}
year = {2014}
month = {Jun}
}