Tag: computing

Automatic Control System

Posted on by lechuck park

From Claude with some prompting
focusing on the importance of computing in automatic control systems and the distinction between devices with sufficient computing power and those without:

  1. Basic Structure of Automatic Control System:
    • The system operates in the sequence of Sensing -> Data IN -> CPU -> Out -> Action.
    • This entire process occurs within the ‘Computing’ phase, which is crucial for automatic control.
  2. Device Classification Based on Computing Capability:
    • ‘Nice Computing Inside’: Represents devices with sufficient computing power. These devices can process complex control logic independently.
    • ‘Nice Computing Outside’: Indicates devices with limited computing capabilities. These devices rely on external computing resources for automatic control.
  3. Utilization of External Computing Resources:
    • The ‘External Computing Device’ allows devices with limited computing power to perform advanced automatic control functions.
    • This is implemented through external computing devices such as PLCs (Programmable Logic Controllers) or DDCs (Direct Digital Controls).
  4. System Integration:
    • ‘Interface & API’ facilitates the connection and communication between various devices and external computing resources.
    • The ‘Integration’ section demonstrates how these diverse elements function as a unified automatic control system.
  5. Importance of Computing:
    • In automatic control systems, computing plays a crucial role in data processing, decision-making, and generating control commands.
    • By appropriately utilizing internal or external computing resources, various types of equipment can function as part of an efficient automatic control system.

This diagram effectively illustrates the flexibility and scalability of automatic control systems, explaining different approaches based on computing capabilities. The forthcoming explanation about PLC/DDC and other external computing devices will likely provide more concrete insights into the practical implementation of these systems.

Computing Power 4-Optimizations

Posted on by lechuck park

From Claude with some prompting
The image “Computing Power 4-Optimizations” highlights four key areas for optimizing computing power, emphasizing a comprehensive approach that goes beyond infrastructure to include both hardware and software perspectives:

  1. Processing Optimizing: Focuses on hardware-level optimization, utilizing advanced manufacturing process technology to develop low-power GPUs and CPUs. It incorporates techniques like dynamic voltage and frequency scaling, and clock/power gating to maximize chip efficiency.
  2. Power Supply Optimizing: Addresses infrastructure-level optimization, improving power management and distribution across the entire system. This involves efficient power supply units and intelligent power management systems.
  3. Cooling Supply Optimizing: Another infrastructure-level optimization, enhancing thermal management of the system. Efficient cooling is crucial for maintaining computing performance while reducing power consumption.
  4. Code Optimizing: Emphasizes software-level optimization, including programming optimization, workload optimization at the OS level, and ‘green coding’ practices. This underscores the importance of considering energy efficiency in the software development process.

The diagram effectively illustrates that computing power optimization is not limited to hardware or infrastructure improvements alone. It stresses the need for a holistic approach, from chip design to code writing, to achieve effective optimization. By considering both hardware (chip) and software (code) level optimizations together, the overall system efficiency can be maximized. This comprehensive view is essential for addressing the complex challenges of power management in modern computing systems.

Parallel Processing ( Process – Data works)

Posted on by lechuck park

From Claude with some prompting
This image illustrates different architectures of Parallel Processing:

  1. Single Core CPU: A single CPU connected to memory via one memory channel. The memory is divided into Instruction (Computing) and Data sections.
  2. Multi Core CPU: A CPU with multiple cores connected to memory through multiple memory channels. The memory structure is similar to the single core setup.
  3. NUMA (Non-Uniform Memory Access): Multiple multi-core CPUs, each with local memory. CPUs can access memory attached to other CPUs, but with “More Hop Memory Access”.
  4. GPU (Graphics Processing Unit): Described as “Completely Independent Processing-Memory Units”. It uses High Bandwidth Memory and has a large number of processing units directly mapped to data.

The GPU architecture shows many small processing units connected to a shared high-bandwidth memory, illustrating its capacity for massive parallel processing.

This diagram effectively contrasts CPU and GPU architectures, highlighting how CPUs are optimized for sequential processing while GPUs are designed for highly parallel tasks.

Server Room Stability & Optimization

Posted on by lechuck park

From Claude with some prompting
Server Room Stability & Optimization

  1. Cooling Supply: Ensuring sufficient cooling capacity to effectively dissipate the heat generated by the servers
  2. Power Usage: Monitoring and managing the power consumption of the servers
  3. Power Supply: Maintaining a stable and reliable power supply to the server room
  4. Resource Check:
    • Power Resource: Verifying the ability to provide the necessary power supply for the server usage
    • Cooling Resource: Checking the cooling capacity to effectively handle the heat generated by the servers
  5. Anomaly Detection: Identifying any anomalies or unusual patterns in the server room’s behavior
  6. Stability: Maintaining the power and cooling resource supply to meet or exceed the server usage requirements
  7. Optimizing: Based on the stability analysis, optimizing the power and cooling resource supply to match the server usage

The key focus is on the appropriate management and provisioning of both power and cooling resources to ensure the overall stability and optimization of the server room operations.

Reading book like

Posted on by lechuck park

This diagram illustrates the process of learning history and technological advancement, highlighting the crucial role of humans:

  1. Creation and Recording of History:
    • Humans make history, which is recorded and transmitted through books.
  2. Knowledge Acquisition and Personal Growth:
    • Individuals learn history through books and reinterpret it by combining it with their own experiences.
  3. Technological Advancements and Utilization:
    • Automation of calculations through CPU
    • Delegation of some thinking processes to AI
  4. The Pivotal Role of Humans – Rethinking:
    • The key message is “still need to Rethink the results by humans”
    • This emphasizes that humans must critically evaluate and reinterpret the results obtained through technology
    • Through the process of rethinking, humans gain deeper understanding, new insights, and continue to develop
  5. Continuous Development Cycle:
    • Human rethinking generates new ideas and perspectives, which in turn become part of the history-making process

In conclusion, this diagram underscores that despite technological progress, human cognitive abilities, especially rethinking, are essential for individual and societal development. While humans use technology as a tool, the final interpretation and meaning-making remain uniquely human abilities, achieved through critical thinking and reinterpretation.

Computing with supers

Posted on by lechuck park

From Claude with some prompting
This diagram titled “Computing works with supers” illustrates the structure and operational principles of modern high-performance computing systems. Key features include:

  1. Power Management: The “Making Power” section features a power icon labeled “Super,” indicating the massive power supply required for high-performance computing. This is emphasized by the phrase “Super Energy is required.”
  2. Central Processing Unit (CPU): Responsible for “Making Infra” and “Making Logic,” performing basic computational functions.
  3. Graphics Processing Unit (GPU) and AI: Located below the CPU, the GPU is directly connected to an AI model. The phrase “Delegate work to AI” demonstrates AI’s significant role in handling complex computing tasks.
  4. Heat Management: The diagram shows “Making Super Heat” from the GPU, managed by a “Control It with Cooling” system, highlighting the importance of thermal management.
  5. Integrated Management: The right sidebar groups power, GPU, and cooling systems together, with the caption “Must Manage All connected Supers.” This underscores the interconnectedness of these core elements and the need for integrated management.
  6. System Efficiency: Each major component is labeled “Super,” emphasizing their crucial roles in the high-performance system. This suggests that harmonious management of these elements determines the overall system’s efficiency and performance.
  7. Output: The “Super” human icon at the top right implies that this high-performance system produces exceptional results.

This diagram emphasizes that power management, GPU utilization, heat management, and AI integration are critical in modern high-performance computing. It highlights that efficient integrated management of these elements is key to determining the overall system’s performance and efficiency. Additionally, it suggests the growing importance of AI and automation technologies in effectively managing such complex systems.

01 world

Posted on by lechuck park

From Claude with some prompting
This image depicts the evolution of how humans perceive and express the world around them.

It starts with the binary system of 0 and 1, from which letters and numbers were created, leading to the creation of the digital world represented by “01 Aa”.

Humans take in data from the world through various channels such as sight, sound, and touch in a comprehensive manner. This received data is then distinguished and perceived as 0 and 1, A and B, and so on.

With the advancement of computing technology and AI, tools like CPUs and neural networks enabled a deeper understanding of the world from both microscopic and macroscopic perspectives.

The images of the Earth and the universe symbolize the entirety of the world that humans perceive.

Therefore, this image illustrates the evolution of human perception, starting from the binary system, progressing through the comprehensive intake of data from various channels, and culminating in the development of computing and AI technologies.