• English
  • Deutsch
  • Log In
    Password Login
    Research Outputs
    Fundings & Projects
    Researchers
    Institutes
    Statistics
Repository logo
Fraunhofer-Gesellschaft
  1. Home
  2. Fraunhofer-Gesellschaft
  3. Scopus
  4. Enabling Communication with FPGA-based Network-attached Accelerators for HPC Workloads
 
  • Details
  • Full
Options
2023
Conference Paper
Title

Enabling Communication with FPGA-based Network-attached Accelerators for HPC Workloads

Abstract
The use of stand-alone, network-coupled Field Programmable Gate Array (FPGA) accelerators is intended to significantly increase the energy efficiency of HPC applications and thus also of HPC data centers. A loose coupling between the nodes of the HPC data center and the FPGAs is established through the high-speed network of the data center. This allows greater flexibility in combining different nodes and accelerators. Both the resulting energy savings and the increased flexibility through the network connection, enable the economical use of FPGAs. This work presents a communication stack to integrate the so-called Network-attached Accelerator (NAA) into the HPC data center. A low-level Remote Direct Memory Access (RDMA) Application Programming Interface (API) and a high-level Remote Procedure Call (RPC) API is designed on top of the RDMA over Converged Ethernet v2 (RoCEv2) communication stack. The experimental results over 100 Gbps RoCEv2 show that our design and implementation deliver performance close to the theoretical maximum.
Author(s)
Christgau, Steffen
Zuse Institute Berlin
Everingham, Dylan
Zuse Institute Berlin
Mikolajczak, Florian
Universität Potsdam
Schelten, Niklas
Fraunhofer-Institut für Nachrichtentechnik, Heinrich-Hertz-Institut HHI  
Schnor, Bettina
Universität Potsdam
Schroetter, Max
Universität Potsdam
Stabernack, Benno  
Fraunhofer-Institut für Nachrichtentechnik, Heinrich-Hertz-Institut HHI  
Steinert, Fritjof
Fraunhofer-Institut für Nachrichtentechnik, Heinrich-Hertz-Institut HHI  
Mainwork
SC-W 2023, Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis  
Funder
Bundesministerium für Bildung und Forschung  
Conference
International Conference on High Performance Computing, Network, Storage, and Analysis 2023  
Open Access
DOI
10.1145/3624062.3624540
Additional link
Full text
Language
English
Fraunhofer-Institut für Nachrichtentechnik, Heinrich-Hertz-Institut HHI  
  • Cookie settings
  • Imprint
  • Privacy policy
  • Api
  • Contact
© 2024