Local Team Barriers for GPU Thread Synchronization
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Solution Overview
Problem
The increasing number of processing resources in graphics processing units (GPUs) leads to increased latency in memory access due to the growing distance between resources and data storage, as well as competition for memory bandwidth, necessitating improvements in architectural efficiency for thread processing.
Innovation Solution
The implementation of a thread team construct with lightweight synchronization mechanisms allows for parallel processing of hardware threads by a processor, keeping data processing close to processing resources and reducing synchronization overhead.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the number of processing resources in GPUs is increased to improve processing capability, then productivity is improved, but memory access latency increases due to growing distance between resources and data storage
Solution Approach 1:
The patent divides the memory system into multiple tiers: high-speed local memory (registers and shared memory) close to processing resources, and lower-speed global memory farther away. This segmentation allows frequently accessed data to be stored locally, reducing memory access latency while maintaining high processing capability through parallel processing resources.
Solution Approach 2:
The patent introduces shared memory as an intermediary layer between global memory and processing resources. This intermediary buffer stores data that is frequently accessed by multiple processing units, reducing the need for repeated accesses to global memory and thereby reducing memory access latency without compromising processing capability.
2Productivity
If the number of processing resources in GPUs is increased to improve processing capability, then productivity is improved, but memory bandwidth competition increases
Solution Approach 1:
The patent segments the memory bandwidth into multiple channels: high-speed local memory bandwidth for immediate data access and global memory bandwidth for larger data transfers. This segmentation allows processing resources to access local memory without competing for global memory bandwidth, thereby maintaining high processing capability while reducing bandwidth competition.
Solution Approach 2:
Shared memory acts as an intermediary that buffers data between global memory and multiple processing units. By pre-loading data into shared memory, the patent reduces the number of global memory accesses required, thereby reducing bandwidth competition while maintaining high processing capability through efficient data sharing among processing units.
3Reliability
If traditional synchronization mechanisms are used for thread processing, then thread coordination is achieved, but synchronization overhead increases
Solution Approach 1:
The patent implements local memory (registers and shared memory) that is specific to each processing unit or group of threads. This local memory allows threads within a group to share data and synchronize efficiently without requiring global synchronization mechanisms, thereby maintaining reliable thread coordination while reducing synchronization overhead.
Solution Approach 2:
The patent divides threads into groups or teams that operate on local memory segments. Each group can synchronize independently using lightweight barriers or flags stored in local memory, rather than requiring global synchronization. This segmentation reduces synchronization overhead while maintaining reliable coordination within each thread group.
Data Source
AI summary
Low-latency synchronization utilizing local team barriers for thread team processing is described. An example of an apparatus includes one or more processors including a graphics processor, the graphics processor including a plurality of processing resources; and memory for storage of data including data for graphics processing, wherein the graphics processor is to receive a request for establishment of a local team barrier for a thread team, the thread team being allocated to a first processing resource, the thread team including multiple threads; determine requirements and designated threads for the local team barrier; and establish the local team barrier in a local register of the first processing resource based at least in part on the requirements and designated threads for the local barrier.