Heterogeneous Processor API for Accelerator Memory Transfer
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Solution Overview
Problem
The integration of accelerators within heterogeneous processors, such as GPUs and deep learning accelerators, poses challenges in efficiently interfacing and managing operations due to complex interdependencies and error handling mechanisms, leading to increased development costs and performance bottlenecks in parallel computing environments.
Innovation Solution
The implementation of a set of application programming interfaces (APIs) that facilitate seamless operation and error management between central processing units (CPUs), graphics processing units (GPUs), and accelerators, including stream operation APIs, memory operation APIs, and error notification APIs, to streamline data transfer, error handling, and operation sequencing within heterogeneous processors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If complex interdependencies and error handling mechanisms are implemented to interface PPUs with accelerators, then reliability is improved, but device complexity increases
Solution Approach 1:
The patent introduces an intermediary layer (driver interface and command buffer mechanism) between the PPU and accelerator to simplify error handling. The PPU submits commands to a driver interface that manages error codes and coordination, rather than requiring direct complex error handling mechanisms at the hardware interface level.
Solution Approach 2:
The patent extracts error handling logic from the core PPU-accelerator interface and places it in separate driver-level components. Error codes are defined and managed at the driver interface layer, allowing the core interface to remain simple while reliability is maintained through dedicated error management structures.
2Ease of operation
If seamless operation and error management APIs are implemented, then ease of operation is improved, but device complexity increases
Solution Approach 1:
The patent implements a universal driver interface that handles multiple functions (command submission, error management, coordination) through a unified API structure. The driver interface serves as a multi-functional component that simplifies operation across different accelerator types while managing the underlying complexity internally.
Solution Approach 2:
The patent segments the API into distinct functional layers: high-level application APIs for ease of operation, and lower-level driver interface APIs for complex management tasks. This segmentation allows programmers to use simple APIs while the complex management functions are handled separately by the driver layer.
3Productivity
If accelerator integration is simplified, then productivity is improved, but reliability may worsen
Solution Approach 1:
The patent implements preliminary error code definition and command buffer structure setup at driver initialization time. Error codes are pre-defined and the command buffer format is established before actual accelerator operations begin, allowing simplified integration while maintaining reliability through pre-configured error handling structures.
Data Source
AI summary
Apparatuses, systems, and techniques to execute one or more application programming interfaces (APIs) to perform one or more operations for one or more accelerators within a heterogeneous processor. In at least one embodiment, one or more processors are to perform one or more instructions in response to one or more APIs to transfer information between memory of two or more accelerators.