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BeeGFS 7.3.1 and 7.2.7 Released

Robust HPC2022-08-12T19:32:36+08:00
News

The BeeGFS, a software-defined parallel filesystem designed for high-performance computing (HPC) and genomics workloads, has just released two new versions. The 7.3.1 release includes changes to the default mount options and security configuration as well as some other fixes, QoL improvements, along with updated the client module to work with Linux 5.15 to support RHEL 9 and Ubuntu 22.04.

v7.3.1

General Changes/Improvements

  • The native cache mode is no longer marked as experimental.
  • TCP and UDP receive buffer sizes can now be configured independently from the RDMA buffer size with the configuration options connTCPRcvBufSize and connUDPRcvBufSize. The default values of 0 will preserve the legacy behavior of setting the buffer size to connRDMABufNum * connRDMABufSize. Setting the value to -1 will set the buffer size to system defaults.
  • Improved performance when selecting a connection from the client connection pool by reordering the connection according to availability.
  • Updated the client module to work with Linux 5.15 to support RHEL 9 and Ubuntu 22.04.
  • Removed unnecessary memory context switching in standard socket code.
  • Some general code cleanup.

Fixes

  • RDMA events with event code RDMA_CM_EVENT_TIMEWAIT_EXIT will no longer be logged by default. They will still be logged on log level DEBUG.
  • Added connAuthFile configuration to client runtime config in procfs to fix an issue where beegfs-ctl with the --mount flag was not able to connect to other servers when connAuthFile is configured.
  • Fixed a bug in the RDMA buffer allocation that caused the client module to crash during OPA and RoCE device initialization on newer kernels (RHEL >8.5, Ubuntu 22.04).
  • The --access flag in the beegfs-ctl modes --createdir and --createfile will no longer ignore special bits for setuid, setgid and sticky.

For more information, please visit the official blog post.

v7.2.7

General Changes/Improvements

  • The client will now use the nosuid mount option by default to prevent users from escalating privileges by using setuid binaries. This can be overridden by setting suid as a mount option in beegfs-mounts.conf
  • Configuring a connAuthFile is now mandatory. Services will no longer start if connAuthFile is not configured or connection authentication is explicitly disabled by setting the new configuration option connDisableAuthentication to true. Please refer to our documentation about Authentication for more information about setting up connection authentication.

Fixes

  • RDMA events with event code RDMA_CM_EVENT_TIMEWAIT_EXIT will no longer be logged by default. They will still be logged on log level DEBUG.
  • Added connAuthFile configuration to client runtime config in procfs to fix an issue where beegfs-ctl with the --mount flag was not able to connect to other servers when connAuthFile is configured.
  • Fixed a bug in the RDMA buffer allocation that caused the client module to crash during OPA and RoCE device initialization on newer kernels (RHEL >8.5).
  • The --access flag in the beegfs-ctl modes --createdir and --createfile will no longer ignore special bits for setuid, setgid and sticky.

For more information, please visit the official blog post.

 

Robust HPC – BeeGFS Authorized Reseller in Malaysia

Robust HPC Sdn Bhd is the authorized reseller of BeeGFS in Malaysia. You can purchase a BeeGFS software license with us, or buy the pre-configured turn-key appliance from us. Technical support services are available with the choice of 8×5 or 24×7.

The following diagram shows the reference architecture of BeeGFS Storage based on Dell EMC servers and NVIDIA (Mellanox) InfiniBand network. The sequential read and write performance hit 152.9GB/s and 139.9GB/s respectively in a 14U configuration. Contact us to obtain the details.

BeeGFS can also run on any x86 servers such as SuperMicro, Huawei and other brands. If you need any help in selecting the best hardware, feel free to engage us for consulting services.

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Robust HPC

Robust HPC is an expert team who passionate about delivering high performing solutions - HPC, parallel storage and AI infrastructure to accelerate any AI workload and computational simulation such as CFD, FEA, whole genome sequencing, etc. We deploy on-premise solutions with end-to-end system integration and managed services. Customers can also run HPC/AI workloads on our HPC cloud that powered by 20,000+ CPU cores and 100+ NVIDIA V100/A100 GPUs.

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