18242097. METHOD AND APPARATUS FOR TASK SCHEDULING FOR ACCELERATOR POOL simplified abstract (ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE)
Contents
- 1 METHOD AND APPARATUS FOR TASK SCHEDULING FOR ACCELERATOR POOL
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 METHOD AND APPARATUS FOR TASK SCHEDULING FOR ACCELERATOR POOL - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
METHOD AND APPARATUS FOR TASK SCHEDULING FOR ACCELERATOR POOL
Organization Name
ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE
Inventor(s)
Seon-Young Kim of Daejeon (KR)
METHOD AND APPARATUS FOR TASK SCHEDULING FOR ACCELERATOR POOL - A simplified explanation of the abstract
This abstract first appeared for US patent application 18242097 titled 'METHOD AND APPARATUS FOR TASK SCHEDULING FOR ACCELERATOR POOL
Simplified Explanation
The method described in the abstract involves task scheduling for an accelerator pool based on factors such as power consumption and conductive heat between accelerators.
- List of accelerators capable of being assigned a task is generated based on state information received.
- Amount of additional power to be consumed when a task is assigned to each accelerator is calculated.
- Task is assigned to an accelerator considering the calculated amount of additional power to be consumed and conductive heat between accelerators.
Potential Applications
This technology could be applied in data centers, cloud computing environments, and high-performance computing clusters to optimize task scheduling and resource allocation.
Problems Solved
1. Efficient task scheduling in accelerator pools. 2. Minimizing power consumption and heat generation in data centers.
Benefits
1. Improved performance and resource utilization. 2. Reduced energy costs and environmental impact. 3. Enhanced reliability and longevity of accelerators.
Potential Commercial Applications
Optimized task scheduling technology for accelerator pools in cloud computing services.
Possible Prior Art
One possible prior art could be task scheduling algorithms used in traditional computing systems, which may not take into account the specific considerations of accelerators in a pool environment.
Unanswered Questions
How does this technology compare to existing task scheduling methods in terms of efficiency and performance?
This article does not provide a direct comparison with existing task scheduling methods in terms of efficiency and performance. Further research or testing may be needed to evaluate the effectiveness of this technology in comparison to other methods.
What impact could this technology have on overall system scalability and flexibility in dynamic workload environments?
The article does not address the potential impact of this technology on overall system scalability and flexibility in dynamic workload environments. Future studies could explore how this technology adapts to changing workloads and system demands.
Original Abstract Submitted
Disclosed herein is a method for task scheduling for an accelerator pool. The method includes receiving state information of an accelerator in the accelerator pool, generating a list of accelerators capable of being assigned a task based on the state information, calculating the amount of additional power that is to be consumed when the task is assigned to each of the accelerators in the list, and assigning the task to an accelerator in consideration of the calculated amount of additional power to be consumed and conductive heat between accelerators.
