18094962. WORKLOAD ASSIGNMENT TECHNIQUE simplified abstract (NVIDIA Corporation)
Contents
WORKLOAD ASSIGNMENT TECHNIQUE
Organization Name
Inventor(s)
Federico Busato of Santa Clara CA (US)
WORKLOAD ASSIGNMENT TECHNIQUE - A simplified explanation of the abstract
This abstract first appeared for US patent application 18094962 titled 'WORKLOAD ASSIGNMENT TECHNIQUE
Simplified Explanation: The patent application describes apparatuses, systems, and techniques for distributing workloads in parallel computing by assigning threads of a group equal numbers of items based on the locations of non-zero values in a data structure that mostly contains zeros.
Key Features and Innovation:
- Workload distribution in parallel computing based on non-zero values in a data structure.
- Equal assignment of items to threads within a group.
- Optimization of workload distribution for efficient parallel processing.
Potential Applications: This technology can be applied in:
- High-performance computing clusters.
- Data centers for large-scale data processing.
- Scientific simulations and modeling.
Problems Solved:
- Uneven workload distribution in parallel computing.
- Inefficient resource utilization in parallel processing.
- Bottlenecks in data processing due to uneven thread assignments.
Benefits:
- Improved performance and efficiency in parallel computing.
- Enhanced scalability for large-scale data processing tasks.
- Optimal resource utilization leading to cost savings.
Commercial Applications: Title: "Optimized Workload Distribution Technology for Parallel Computing" This technology can be utilized in various commercial applications such as:
- Cloud computing services.
- Big data analytics platforms.
- High-frequency trading systems.
Prior Art: Readers can explore prior art related to workload distribution algorithms in parallel computing, data structure optimization, and thread assignment techniques.
Frequently Updated Research: Stay updated on research related to workload distribution algorithms, parallel computing optimization, and advancements in data processing efficiency.
Questions about Workload Distribution in Parallel Computing: 1. How does the technology ensure equal workload distribution among threads? 2. What are the implications of optimizing thread assignments based on non-zero values in the data structure?
Original Abstract Submitted
Apparatuses, systems, and techniques to distribute workloads in parallel computing. In at least one embodiment, threads of a group are assigned equal numbers of items based, at least in part, on locations of non-zero values in a data structure that contains mostly zeros.
