Dell Products Inc.

Emc IP Holding Company LLC

Ran Liu

Tao Chen

Wei Lu

Yong Colin Zou

Embodiments of the present disclosure relate to a method, a device, and a computer program product for data access. The method includes acquiring a priority of a workload associated with an input/output (I/O) instruction of a user, and determining, based on the priority, whether to perform data access to a persistent memory indicated by the I/O instruction by using a central processing unit (CPU). If it is determined not to perform the data access by using the CPU, the data access is performed by using a programmable data moving apparatus. The method according to the embodiments of the present disclosure can avoid that important workloads compete for CPU resources equally with secondary workloads, and alleviate blocking of workloads due to insufficient CPU resources, thereby improving the overall performance of persistent memory access.

Method, device, and computer program product for data access

Embodiments of the present disclosure provide a method, an electronic device, and a computer program product for synchronously accessing data. The method may include sending metadata associated with data to be moved by a user to a programmable network device associated with a persistent memory containing the data, so as to enable the programmable network device to move the data based on the metadata, wherein the programmable network device is a smart network interface card having a remote direct memory access function. The method may also include entering a hibernation state. In addition, the method may include exiting from the hibernation state in response to receiving a confirmation of operation completion from the programmable network device, so as to notify the user that an operation of moving the data is complete. By means of the embodiments of the present disclosure, an operation of synchronously accessing data can be implemented, and computing resources of the CPU are saved, thereby improving user experience.

Method, electronic device, and computer program product for synchronously accessing data

In a symmetric hardware accelerator system, an initial hardware accelerator is selected for an upgrade of firmware. The initial and other hardware accelerators handle workloads that have been balanced across the hardware accelerators. Workloads are rebalanced by directing workloads having low CPU utilization to the initial hardware accelerator. A CPU fallback is conducted of the workloads of the initial hardware accelerator to the CPU. While the CPU is handling the workloads, firmware of the initial hardware accelerator is upgraded.

Non-disruptive firmware upgrade of symmetric hardware accelerator systems

In an asymmetric hardware accelerator system, a hardware accelerator configured to handle workloads of a particular type that have a lowest CPU utilization as compared to workloads of other types being handled by other hardware accelerators configured to handle the other types of workloads is identified. A CPU fallback is conducted of workloads of the identified hardware accelerator to the CPU. While the CPU is handling the workloads, firmware of the identified hardware accelerator is upgraded.

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Beijing, China

Ran Liu