GPU Memory Storage via POSIX Abstraction Layer
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Solution Overview
Problem
Existing data management systems face performance bottlenecks due to inefficient data read and write operations, particularly in handling large data volumes, as they often rely on traditional storage stacks that slow down data access and processing.
Innovation Solution
The system employs a architecture that allows applications to directly interact with memory devices using a portable operating system interface (POSIX), bypassing the storage stack by issuing input/output requests through a communication fabric, such as NVMe-oF or PMEMoF, to scale out volume offsets in a storage pool, enabling transparent data manipulation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional storage stacks are used for data management, then system compatibility and ease of operation are maintained, but data read and write performance deteriorates due to processing overhead
Solution Approach 1:
The patent extracts and removes the traditional storage stack layers (file system, volume manager, storage controller) from the data path between applications and memory devices. Applications directly issue I/O requests to memory devices through the communication fabric, eliminating the processing overhead of traditional storage stacks while maintaining system functionality through the abstraction layer that maps logical addresses to physical memory locations
Solution Approach 2:
The patent introduces an intermediary abstraction layer that sits between applications and memory devices. This layer provides the POSIX interface for file operations while translating them into direct memory access requests. The intermediary handles address mapping and request routing, allowing applications to interact with memory devices without going through traditional storage stacks
2Speed
If direct memory access is enabled by bypassing storage stacks, then data access speed improves, but system complexity increases due to new architecture requirements
Solution Approach 1:
The patent makes the abstraction layer universal by implementing it as a software-defined interface that can work with different memory device types and storage configurations. The same POSIX-based abstraction layer handles direct memory access, traditional file storage, and data mapping functions, allowing the system to maintain simplicity while enabling high-speed access through multi-functional design
Solution Approach 2:
The patent replaces the mechanical/storage-based data access path with a software-driven approach. Instead of relying on hardware-level storage controllers and file systems to manage data access, the system uses software abstractions and communication fabrics to enable direct memory access, substituting traditional storage mechanics with software-based control
3Productivity
If applications directly interact with memory devices, then data manipulation efficiency improves, but reliability concerns arise from bypassing traditional storage validation layers
Solution Approach 1:
The patent implements feedback mechanisms within the abstraction layer that monitor and validate data access operations. The system provides feedback on address mapping validity, memory device status, and data integrity, allowing the layer to correct errors or prevent invalid operations while maintaining direct access efficiency. This feedback loop ensures reliability without sacrificing the performance benefits of direct memory access
Data Source
AI summary
In general, embodiments relate to a method for storing data, the method comprising generating, by a memory hypervisor module executing on a client application node, at least one input/output (I/O) request, wherein the at least one I/O request specifies a location in a storage pool and a physical address of the data in a graphics processing unit (GPU) memory in a GPU on the client application node, wherein the location is determined using a data layout, and wherein the physical address is determined using a GPU module and issuing, by the memory hypervisor module, the at least one I/O request to the storage pool, wherein processing the at least one I/O request results in at least a portion of the data being stored at the location.