웨비나
# Personal Parallel Processing Cluster Construction Method
Seminar on Building Personal Parallel Processing Systems
Existing parallel processing systems for machine learning and deep learning require substantial costs.
This seminar explains the construction of personal parallel processing systems
for performing machine learning and deep learning at relatively low cost,
and describes methods for system operation.
Since each parallel processing module is equipped with 4 ARM Cortex-A53 quad core processors,
the total number of cores is 16, and this number can be continuously expanded to n units,
each computing module has 1GB of memory,
and each parallel processing module set has a total of 4GB, which can also be expanded to 4GB x n units.
The software was developed by porting Linux and performing TCP/IP network programming in C language
to execute machine learning functions.
Through this seminar, you will gain valuable information on parallel processing cluster construction and machine learning techniques.
Webinar Key Topics
1. Parallel Processing Module Introduction
2. Linux Porting
3. Network Connection and Configuration
4. Network Bridge Configuration
5. NFS Configuration
6. Remote Desktop Connection
7. Machine Learning Application Methods
Existing parallel processing systems for machine learning and deep learning require substantial costs.
This seminar explains the construction of personal parallel processing systems
for performing machine learning and deep learning at relatively low cost,
and describes methods for system operation.
Since each parallel processing module is equipped with 4 ARM Cortex-A53 quad core processors,
the total number of cores is 16, and this number can be continuously expanded to n units,
each computing module has 1GB of memory,
and each parallel processing module set has a total of 4GB, which can also be expanded to 4GB x n units.
to execute machine learning functions.
Through this seminar, you will gain valuable information on parallel processing cluster construction and machine learning techniques.
Webinar Key Topics
1. Parallel Processing Module Introduction
2. Linux Porting
3. Network Connection and Configuration
4. Network Bridge Configuration
5. NFS Configuration
6. Remote Desktop Connection
7. Machine Learning Application Methods
댓글
- 26 Comments
- 조*성 (2019-06-28 오전 9:22:21)
- 외근으로 못들은 세미나를 늦게나마 들어봅니다. 감사합니다.
- 최*휴 (2019-06-27 오후 1:41:27)
- 기대합니다. 감사합니다.
- 최*휴 (2019-06-27 오후 1:39:56)
- 기대합니다.
- 박*철 (2019-06-27 오전 10:29:06)
- 유용한 세미나 기대합니다.
- 류*훈 (2019-06-27 오전 10:21:31)
- 유익한 교육 기대 합니다
- 김*오 (2019-06-27 오전 10:15:51)
- 유용한 세미나 기대합니다.
- 공*근 (2019-06-27 오전 9:02:07)
- 세미나 감사합니다
- 최*휴 (2019-06-27 오전 8:32:54)
- 기대합니다.
- 이*훈 (2019-06-25 오후 5:54:24)
- 세미나가 많이 유용할 듯 합니다. 기대가 큽니다 ^^
- 박*영 (2019-06-24 오후 8:40:11)
- 세미나 감사합니다