18147081. Processing Element-Centric All-to-All Communication simplified abstract (Advanced Micro Devices, Inc.)
Processing Element-Centric All-to-All Communication
Organization Name
Inventor(s)
Kishore Punniyamurthy of Austin TX (US)
Khaled Hamidouche of Austin TX (US)
Brandon K Potter of Troup TX (US)
Rohit Shahaji Zambre of Seattle WA (US)
Processing Element-Centric All-to-All Communication - A simplified explanation of the abstract
This abstract first appeared for US patent application 18147081 titled 'Processing Element-Centric All-to-All Communication
Simplified Explanation: The patent application describes a distributed computing system with processing elements like GPUs, organized in clusters, that perform all-to-all communication using a multi-stage procedure.
- Processing elements like GPUs are distributed in clusters.
- All-to-all communication involves generating data packets in parallel for communication between clusters.
- The communication procedure includes intra-cluster communication, inter-cluster data exchange, and intra-cluster data distribution stages.
Key Features and Innovation:
- Use of processing elements like GPUs for all-to-all communication.
- Multi-stage communication procedure for efficient data exchange.
- Parallel data packet generation for faster communication.
Potential Applications:
- High-performance computing.
- Data-intensive applications.
- Scientific simulations and modeling.
Problems Solved:
- Efficient data communication in distributed systems.
- Minimizing latency in all-to-all communication.
- Scalability of communication in large clusters.
Benefits:
- Faster data exchange between clusters.
- Improved performance in distributed computing.
- Scalable communication for large-scale systems.
Commercial Applications: The technology can be utilized in industries such as:
- Data centers for cloud computing.
- High-frequency trading in finance.
- Scientific research and simulations.
Prior Art: Readers can explore prior art related to distributed computing systems, GPU communication, and parallel data processing techniques.
Frequently Updated Research: Stay updated on research regarding GPU communication, distributed computing, and high-performance computing systems.
Questions about Distributed Computing Systems: 1. How does the patent application address the challenges of all-to-all communication in distributed systems? 2. What are the potential limitations of using GPUs for all-to-all communication in clusters?
Original Abstract Submitted
In accordance with described techniques for PE-centric all-to-all communication, a distributed computing system includes processing elements, such as graphics processing units, distributed in clusters. An all-to-all communication procedure is performed by the processing elements that are each configured to generate data packets in parallel for all-to-all data communication between the clusters. The all-to-all communication procedure includes a first stage of intra-cluster parallel data communication between respective processing elements of each of the clusters; a second stage of inter-cluster data exchange for all-to-all data communication between the clusters; and a third stage of intra-cluster data distribution to the respective processing elements of each of the clusters.