Samsung electronics co., ltd. (20240193111). HETEROGENEOUS ACCELERATOR FOR HIGHLY EFFICIENT LEARNING SYSTEMS simplified abstract
Contents
HETEROGENEOUS ACCELERATOR FOR HIGHLY EFFICIENT LEARNING SYSTEMS
Organization Name
Inventor(s)
Krishna T. Malladi of San Jose CA (US)
Hongzhong Zheng of Los Gatos CA (US)
HETEROGENEOUS ACCELERATOR FOR HIGHLY EFFICIENT LEARNING SYSTEMS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240193111 titled 'HETEROGENEOUS ACCELERATOR FOR HIGHLY EFFICIENT LEARNING SYSTEMS
The patent application describes an apparatus with a heterogeneous computing environment controlled by a task scheduler. The environment includes a processing unit with fixed logical circuits, a reprogrammable processing unit with reprogrammable logical circuits for processing-in-memory functionality, and a stack of high-bandwidth memory dies.
- The apparatus includes a heterogeneous computing environment with different types of processing units.
- The task scheduler manages computational tasks between the processing unit and the reprogrammable processing unit.
- The reprogrammable processing unit controls processing-in-memory functionality in the high-bandwidth memory dies.
- The high-bandwidth memory dies store data and provide processing-in-memory functionality.
- The reprogrammable processing unit is partially stacked with the high-bandwidth memory dies.
Potential Applications: - High-performance computing tasks that require processing-in-memory functionality. - Artificial intelligence and machine learning applications that benefit from efficient data processing. - Data-intensive tasks in fields such as scientific research, finance, and healthcare.
Problems Solved: - Improved efficiency in processing data by utilizing processing-in-memory functionality. - Enhanced performance for complex computational tasks. - Increased flexibility in managing computational resources.
Benefits: - Faster data processing and reduced latency. - Enhanced overall system performance. - Greater adaptability to different types of computational tasks.
Commercial Applications: Title: "Next-Generation Computing Systems for High-Performance Applications" This technology could be utilized in supercomputers, data centers, and high-performance computing clusters for industries such as finance, healthcare, and scientific research. The market implications include improved productivity, faster data analysis, and enhanced competitiveness for businesses using these advanced computing systems.
Questions about the technology: 1. How does the reprogrammable processing unit enhance the processing capabilities of the apparatus? 2. What are the potential advantages of utilizing processing-in-memory functionality in high-bandwidth memory dies?
Original Abstract Submitted
an apparatus may include a heterogeneous computing environment that may be controlled, at least in part, by a task scheduler in which the heterogeneous computing environment may include a processing unit having fixed logical circuits configured to execute instructions; a reprogrammable processing unit having reprogrammable logical circuits configured to execute instructions that include instructions to control processing-in-memory functionality; and a stack of high-bandwidth memory dies in which each may be configured to store data and to provide processing-in-memory functionality controllable by the reprogrammable processing unit such that the reprogrammable processing unit is at least partially stacked with the high-bandwidth memory dies. the task scheduler may be configured to schedule computational tasks between the processing unit, and the reprogrammable processing unit.
