Fast Path CPU Mode for Scalar-Dependent XPU Workloads
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Solution Overview
Problem
Heterogeneous compute workloads in XPU architectures face challenges due to communication overhead between CPU and GPU, which need to collaborate effectively.
Innovation Solution
Implement a fast path CPU mode for mixed XPU workloads, optimizing communication and workload distribution to enhance performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If CPU and GPU collaborate on heterogeneous workloads using traditional communication paths, then workload collaboration is achieved, but communication overhead increases and performance decreases
Solution Approach 1:
The patent segments the communication path into two distinct modes: a fast path for scalar CPU-GPU communication and a traditional path for bulk data transfers. This segmentation allows each communication type to use the optimized pathway, reducing overall communication overhead. The fast path is implemented through dedicated communication hardware and instruction sequences that bypass the general-purpose communication infrastructure.
Solution Approach 2:
The patent introduces a fast path communication mechanism as an intermediary between CPU and GPU, utilizing dedicated communication hardware and instruction sequences. This intermediary provides a specialized communication channel that reduces overhead for scalar operations, while the traditional communication path remains available for other operations. The system can selectively route communications through the appropriate path based on workload requirements.
2Ease of operation
If traditional communication paths are used for CPU-GPU collaboration, then communication between compute engines is achieved, but communication overhead becomes problematic
Solution Approach 1:
The patent implements dynamic communication path selection, where the system can adaptively choose between the fast path and traditional communication paths based on the specific workload requirements. The fast path is dynamically activated for scalar operations that benefit from reduced overhead, while the traditional path handles bulk data transfers and other communication patterns. This dynamic approach optimizes energy efficiency by using the most efficient communication path for each operation.
Solution Approach 2:
The patent changes the communication parameters by introducing a dedicated fast path with different communication characteristics than the traditional path. The fast path uses optimized instruction sequences and dedicated hardware resources, resulting in lower overhead and improved energy efficiency for scalar operations. The system can adjust communication parameters such as transfer size, frequency, and routing based on workload characteristics.
Data Source
AI summary
One embodiment provides a processor device comprising a general-purpose processor including circuitry to provide an offload mode to execute an offloaded instruction and an accelerator device configured to execute a first portion of a data parallel workload, at least a second portion of the data parallel workload having a dependency on a scalar operation, and the scalar operation having a dependency on the first portion of the data parallel workload, cause the general-purpose processor to enter the offload mode after completion of at least the first portion of the data parallel workload, the general-purpose processor to enter the offload mode to perform the scalar operation, and execute the second portion of the data parallel workload based at least in part on output of the scalar operation.